Programmable Folding: Computational Design with an Embedded Assembly Logic

110
PROGRAMMABLE FOLDING: COMPUTATIONAL GEOMETRY WITH EMBEDDED ASSEMBLY LOGIC Annie Locke Scherer Integrative Technologies M.Sc. Candidate M. Arch University of Michigan B.S. Arch University of Virginia

description

ITECH Master Thesis 2015

Transcript of Programmable Folding: Computational Design with an Embedded Assembly Logic

Page 1: Programmable Folding: Computational Design with an Embedded Assembly Logic

PROGRAMMABLE FOLDING:COMPUTATIONAL GEOMETRY WITH EMBEDDED ASSEMBLY LOGIC

Annie Locke SchererIntegrative Technologies M.Sc. Candidate

M. Arch University of MichiganB.S. Arch University of Virginia

Page 2: Programmable Folding: Computational Design with an Embedded Assembly Logic

02

ITECH M.Sc. Programme

ICDInstitute for Computational Design

ITKEInstitute for Building Structures and Structural Design

Thesis AdvisorsProf. AA Dipl.(Hons.) Arch. Achim Menges Prof. Dr.-Ing. Jan KnippersDipl.-Ing. Oliver David KriegM.Arch, B.Arch.Sci David CorreaDipl.-Ing. Benjamin Felbrich

2014-2015

Page 3: Programmable Folding: Computational Design with an Embedded Assembly Logic

03

To mom, Danny, Grandad and Pat:

Thank you for your unending love and support, that made this all possible.

Page 4: Programmable Folding: Computational Design with an Embedded Assembly Logic

04

Page 5: Programmable Folding: Computational Design with an Embedded Assembly Logic

05

CONTEXTINTRODUCTION.........................................08

AIM............................................................15

CONTEXT...................................................19

STATE OF THE ART.....................................25

METHODS..................................................33

DESIGN RESEARCH DEVELOPMENT........41

RESEARCH PROPOSAL.............................85

DISCUSSION..............................................91

OUTLOOK..................................................95

Page 6: Programmable Folding: Computational Design with an Embedded Assembly Logic

06

Page 7: Programmable Folding: Computational Design with an Embedded Assembly Logic

07

INTRODUCTIONCHAPTER 01

Page 8: Programmable Folding: Computational Design with an Embedded Assembly Logic

08

INTRODUCTION

One does not normally design leftover waste material. More commonly, one designs and what is left over is discarded. Programmable Folding is centered around strategic cuts. Careful design of removed material has the ability to imbue a flat sheet with intrinsic curvature.

The aim of this thesis is to create parametrically-derived folding patterns that approximate irregular, doubly-curved surfaces when assembled. Looking at fundamentals of cut patterns, this thesis investigates the relatively unexplored world of origami’s lesser-known cousin: kirigami. This, like origami, is the art of folding sheets but also utilizes simple cuts to program inherent curvature into a flat material.

Programmable Folding analyzes the basic geometrical rules of kirigami folding, identifying which parameters are flexible and which ones must be followed. The resulting geometrical pattern encodes a sheet material with an inherent assembly logic and provides the necessary information to fold the material into a complex, 3-dimensional surface.

This project builds upon research from much of the origami world, particularly referencing the work of Tomohiro Tachi (University of Tokyo), Daniel Piker (Foster + Partners), and Toen Castle (University of Pennsylvania). Grasshopper and Kangaroo for Rhino are the primary design tools to realize the geometrical complexities within double-curvature folding. These tools allow for easy manipulation of areas and degrees of curvature, quick generation of a cut and tabbing pattern, and simulation of the final folded geometry.

Programmable Folding explores design possibilities of geometry on multiple levels and delivers a final product whose design is embedded in the generated folding pattern. This thesis simplifies complex geometrical problems of approximating an irregular surface, while simultaneously investigating typology, assembly logic and structural performance.

Page 9: Programmable Folding: Computational Design with an Embedded Assembly Logic

“All designers fold.

That is, all designers crease, pleat, bend, curve or wrap two-dimensional sheets of material, and by these processes of folding, create three-dimensional objects... Since almost all objects are made from sheet materials (such as fabric, plastic, sheet metal or cardboard), or are fabricated from components used to make sheet forms (such as bricks - a brick wall is a sheet form), folding can be considered one of the most common of all design techniques.”

-Paul Jackson, origamist

Page 10: Programmable Folding: Computational Design with an Embedded Assembly Logic

ORIGAMI

When most people think of origami, the first image that comes to mind is that of a folded paper crane or a child’s “cootie-catcher.” While these are the most simple and common uses for folding paper, the same fundamental geometrical concepts can be applied in a much more complex manner. With careful programming, it is possible to achieve irregular surfaces and forms that could be applied in an architectural context.

While a great deal of intricacy can be achieved in origami surfaces, Programmable Folding examines the inherent geometric complexities of folding and demonstrates that origami does not allow for easy asymmetrical manipulation of patterns. While some patterns such as Figure 01.01 have the freedom to bend and form around sub-structures, it is not possible to create a rigid surface without additional support.

Page 11: Programmable Folding: Computational Design with an Embedded Assembly Logic

Figure 01.01 Work by Thomas Diewald, applying Ron Resch’s classic origami pattern to create architectural surfaces.

Page 12: Programmable Folding: Computational Design with an Embedded Assembly Logic

12

KIRIGAMI

Deriving inspiration from the University of Pennsylvania Astronomy & Physics Department, this research builds on the question of how to create three-dimensional forms from flat sheet materials. Try to wrap a sphere, and soon the geometrical problems become increasingly complicated. No amount of folding can change a flat sheet of paper to have more “intrinsic” curvature.

Kirigami, like origami, is the art of folding paper, but with strategic cuts. This small addition has allowed artists, scientists, and designers to create complex curvature and shapes that have never before been possible with a single sheet. Kirigami is an elegant solution to imbue surfaces with more or less curvature based on simple geometric principles.

As seen in Figure 01.02, by removing material from a sheet and folding it, it is possible to fold a flat sheet and achieve zero, positive, or negative Gaussian curvature. These fundamentals will later be extrapolated to create more complex curvature and surface approximations.

Page 13: Programmable Folding: Computational Design with an Embedded Assembly Logic

13

切り紙Kirigami:

“kiru” = to cut, “kami” = paper

Figure 01.02 Simple kirigami

Page 14: Programmable Folding: Computational Design with an Embedded Assembly Logic

14

Page 15: Programmable Folding: Computational Design with an Embedded Assembly Logic

15

AIMCHAPTER 02

Page 16: Programmable Folding: Computational Design with an Embedded Assembly Logic

16

AIM

Architecture mainly consists of planar elements, with sheet materials being the most common base of building design. In the past, architecture has kept a clear division between architectural skin and structure. The substructure is independent from the cladding, and the two do not necessarily have a relationship.

The aim of this thesis is to bridge the gap between skin and structure. It investigates the potentials of a light-weight, flat-pack, rigid panel system that has structural and spatial capabilities. This type of system would have a differentiated pattern with an embedded assembly technology.

This thesis investigates the fundamentals of kirigami patterns, seeing what parameters are flexible and which rules must not be broken. Connections between folds are programmed within the plastic sheets, so no added materials are needed for the joints. By programming the underlying geometry and intrinsic curvature, the resulting kirigami patterns are used to investigate potential design systems that apply this logic to architectural design.

Page 17: Programmable Folding: Computational Design with an Embedded Assembly Logic

17

Figure 2.01 Kirigami fold pattern for monkey saddle geometry

Page 18: Programmable Folding: Computational Design with an Embedded Assembly Logic

18

Page 19: Programmable Folding: Computational Design with an Embedded Assembly Logic

19

CONTEXTCHAPTER 03

Page 20: Programmable Folding: Computational Design with an Embedded Assembly Logic

20

ORIGAMI FOLDINGIn order to create a bespoke folding system, it is first necessary to understand classic origami folds and their architectural capabilities. Ron Resch’s patterns give a high degree of variability as well as potential structural capacity, while folds like those of Yoshimura and Miura Ori have the ability to flat pack in multiple configurations.

Although many of these folding patterns have interesting architectural implications formally, most of the patterns are impossible to manipulate asymmetrically for they must retain symmetry in order for the global system to function.

Rigidity

Deployability

Folds Flat

Variability

Yoshimura

Ron Resch

Ron Resch

John Mckeever

Ben ParkerBen Parker

Miura Ori

Miura Ori Paul Jackson

Hans Buri

Paul Jackson

Page 21: Programmable Folding: Computational Design with an Embedded Assembly Logic

21

Rigidity

Deployability

Folds Flat

Variability

Yoshimura

Ron Resch

Ron Resch

John Mckeever

Ben ParkerBen Parker

Miura Ori

Miura Ori Paul Jackson

Hans Buri

Paul Jackson

Figure 03.01 Common origami folding patterns

Page 22: Programmable Folding: Computational Design with an Embedded Assembly Logic

22

triangle base

quad base

hex base

objects

3-D surface approximation

KIRIGAMIWith the simple addition of a few strategic cuts, kirigami allows the generation of intricate fold patterns with substructure bases of triangles, rectangles, or even hexagons. While it is possible to create objects or flat patterns, Programmable Folding focuses on the possibilities of approximating complex curvature. The process of manipulating kirigami geometry patterns will be explored further in design research development.

Page 23: Programmable Folding: Computational Design with an Embedded Assembly Logic

23

triangle base

quad base

hex base

objects

3-D surface approximation

Figure 03.02 A wide array of kirigami variations, as explored by Mike Tanis

Page 24: Programmable Folding: Computational Design with an Embedded Assembly Logic

24

Page 25: Programmable Folding: Computational Design with an Embedded Assembly Logic

25

STATE OF THE ARTCHAPTER 04

Page 26: Programmable Folding: Computational Design with an Embedded Assembly Logic

26

FOLDING IN ARCHITECTUREMany architectural works have been inspired by origami, whether in shape or in function. In looking at precedents, Theoperability, asymmetry, and potential reconfigurability of the systems are related to one another in Figure 04.01. Note that most are symmetrical, becasue of the difficulty of generating variable patterns.

Figure 04.01 Origami Inspired Precedents

Static

Operable Actuated

Manual

Asymmetrical Panels

Reconfigurable

Bowoos Pavilion Shenzhen International Airport Cruise Terminal Yokohama

Hoberman Arch | Salt Lake City Actuated Rigid Plates | Erik Hull Appended Space | Mohamad Al KhayerResonant Chamber | RVTR Ron Resch Origami

Novi Sad | Origami Forum

Enoc Armegnol Folded Chair

Canary Warf Kiosk | Make Architecture Evolution Door | Klemens Torggler Woodskin | MammaFotogramma

Fold Plate Hut | Osaka

Page 27: Programmable Folding: Computational Design with an Embedded Assembly Logic

27

Static

Operable Actuated

Manual

Asymmetrical Panels

Reconfigurable

Bowoos Pavilion Shenzhen International Airport Cruise Terminal Yokohama

Hoberman Arch | Salt Lake City Actuated Rigid Plates | Erik Hull Appended Space | Mohamad Al KhayerResonant Chamber | RVTR Ron Resch Origami

Novi Sad | Origami Forum

Enoc Armegnol Folded Chair

Canary Warf Kiosk | Make Architecture Evolution Door | Klemens Torggler Woodskin | MammaFotogramma

Fold Plate Hut | Osaka

Page 28: Programmable Folding: Computational Design with an Embedded Assembly Logic

28

ASYMMETRIC FOLDING PATTERNS & CORRUGATION

PARAMETRIC MIURA ORIBecause of the geometrical complexities inherent in origami, it is extremely difficult to manipulate a symmetrical pattern locally without making an unfoldable pattern. Here, Tachi looks at asymmetrically adjusting patterns to create complex curvature. Figure 04.02 shows a simple manipulation of the classic Miura Ori fold pattern to create asymmetrical double-curvature. Because of the Kawasaki-Justin Theorem, the sum of the mountain and valley folds around a vertex must equal zero to make a flat folding pattern. This severely limits the geometrical possibilities for asymmetrically manipulating classic origami folds.

FREE FORM ORIGAMI TESSELLATIONTomohiro Tach is one of the only origamists to research complex, asymmetrical forms from single sheets. As illustrated in Figure 04.02, based on generalizations of Ron Resch’s patterns, Tachi demonstrates how to fold a sheet of stainless steel into a freeform origami tessellation.

ORIGAMI CORRUGATIONTessellated Group develops mechanically folded sheet material and utilizes them as structure for double-layer systems. This corrugation improves the typical performance while reducing manufacturing cost and waste. While none of their designs accommodate asymmetrical patterns, Tessellated Group’s products can be applied in a multitude of industries, ranging from architecture to aerospace to construction and packaging.

Figure 04.02 Pattern for variable curvature

θ1θ3

θ2

θ4

θ1 + θ3 = θ2 + θ4

Kawasaki-Justin Theorem

Page 29: Programmable Folding: Computational Design with an Embedded Assembly Logic

29

Figure 04.03 Free-form origami tessellation

Figure 04.04 Industrial origami

Page 30: Programmable Folding: Computational Design with an Embedded Assembly Logic

30

KIRIGAMI RESEARCH IN PHYSICSPhysicists Randall Kamien and Toen Castle at the University of Pennsylvania are investigating how to approximate a curved surface with kirigami. Their work is based on French researchers’ study of how sunflower seeds cover the dome of the sunflower. The seeds have a precise pattern of 5, 6, or 7 sided; this natural variation allows for the seeds to pack evenly around the dome.

While origami uses the technique of “tucking” to hide excess material in the final shape, kirigami addresses these limits and removes the material completely, allowing folding without any excess material. Kamien and Castle have simplified these principles into unique patterns, each with their own spatial and structural potentials. By introducing a step in the modules, they can approximate curves much like that of a voxel.

Figure 04.05 Sunflower Lattice of Seeds. Blue, red, and green cells are pentagons, hexagons and heptagons, respectively

Figure 04.06 Variation within single 5/7 kirigami module

Page 31: Programmable Folding: Computational Design with an Embedded Assembly Logic

31

Figure 04.07 Projected stepping pattern of a ziggurat, along with cut pattern

Figure 04.08 Left: A duopotent lattice of sixons in the flat state, where grey hexagons denote excised regions of paper. Right: the two folded state configurations of the duopotent sheet

Page 32: Programmable Folding: Computational Design with an Embedded Assembly Logic

32

Page 33: Programmable Folding: Computational Design with an Embedded Assembly Logic

33

METHODSCHAPTER 05

Page 34: Programmable Folding: Computational Design with an Embedded Assembly Logic

34

METHODS

COMPUTATIONAL KIRIGAMIProgrammable Folding develops a robust computational model that uses the principles of Gaussian curvature as a substructure to kirigami cut patterns in order to approximate curvature. Strategic, computationally determined cuts imbue the pattern with intrinsic curvature that will allow the flat pattern to take its pre-determined shape once assembled.

FABRICATIONProgrammable folding utilizes 0.5mm x 800mm x 1200mm plastic sheets to express the full geometrical possibilities of computational kirigami. These plastic sheets allow enough flexibility for incremental folding for assembly. Additionally, the plastic is structural enough to withstand the plastic deformation along the dashed fold lines. A flexible material was specifically chosen as rigid kirigami would require simultaneous actuation of all folds. Furthermore, a rigid structure would be comprised of multiple materials within the joints, which requires more assembly instruction and materials.

The Zünd cut plotter allows Programmable Folding to be realized at a real architectural scale. Because of the sheet limitations of the laser cutter, the cut plotter is the best option for taking advantage of full polypropylene sheets with as little waste as possible.

FOLDINGInstead of adding additional material to join the kirigami edges, Programmable Folding takes advantage of the kirigami cut outs and programs the tabs into the material that would normally be removed as waste. One set of tabs closes the holes, while the other reciprocally locks each module into the other to create a more rigid structure.

Figure 05.01 Zero, positive, and negative Gaussian curvature

Zünd Knife CutterUniversal Cutting Tool: cuts material up to 5mm

Bed size: 1500mmx3000mm

0.5mm PolypropyleneSheets: 800x1200mm

4.5m²

1m²

Page 35: Programmable Folding: Computational Design with an Embedded Assembly Logic

35

Zünd Knife CutterUniversal Cutting Tool: cuts material up to 5mm

Bed size: 1500mmx3000mm

0.5mm PolypropyleneSheets: 800x1200mm

4.5m²

1m²

Figure 05.02 Fabrication tools and flexible material

Figure 05.03 Tabbing and reciprocally interlocking modules

Page 36: Programmable Folding: Computational Design with an Embedded Assembly Logic

36

GAUSSIAN CURVATUREGaussian curvature is the basis for programming material with intrinsic curvature. It is the product of both principle curvatures at any given point, which is equal to the intrinsic curvature. By looking into typology of curvature with tessellation and adding or subtracting the number of vertices around a node, it is very simple to manipulate and program a surface’s resulting Gaussian curvature. If the vertex has 5 instead of 6 vertices, the corresponding surface has positive Gaussian curvature while adding a 7th results in a saddle-like negative curvature shape.

This basic theorem is the underlying logic for parametrically manipulating generic kirigami folding patterns. After understanding the different typologies that can be created with simple manipulation of node vertices and developing a tool to easily do so, it is possible to use this logic as a sub-structure and generate more controlled, geometrically complex kirigami.

Figure 05.04 Positive and negative Gaussian curvature by adding and removing vertices

(+) Gaussian curvature

(-) Gaussian curvature

Θ > 360Σ

Θ < 360Σ

no Gaussian curvatureΘ = 360Σ

{3;5}

{3;7}no gaussian curvature

(+) gaussian curvature

(-) gaussian curvature

Page 37: Programmable Folding: Computational Design with an Embedded Assembly Logic

37

(+) Gaussian curvature

(-) Gaussian curvature

Θ > 360Σ

Θ < 360Σ

no Gaussian curvatureΘ = 360Σ

{3;5}

{3;7}no gaussian curvature

(+) gaussian curvature

(-) gaussian curvature

Figure 05.05 Positive and negative Gaussian curvature applied to kirigami patterns

Page 38: Programmable Folding: Computational Design with an Embedded Assembly Logic

38

DIGITAL METHODSProgrammable Folding utilizes a robust computational model to analyze global formations and irregular surfaces. This model takes an irregular input surface, approximates its underlying Gaussian curvature, and creates a flat sub-structure for the kirigami based on the required intrinsic curvature. After running the kirigami pattern through a kangaroo script, the necessary cut outs are determined and a flat-pack folding pattern can be generated. All folding and cut lines, along with tabbing, are pre-programmed and the final pattern is ready for production.

Page 39: Programmable Folding: Computational Design with an Embedded Assembly Logic

39

base geometry for global curvature program local curvature

OUTPUT

COMPUTATIONAL MODEL

triangulated surface approximation & percent deviation flat kirigami fold pattern sheet specs required for construction

:

Page 40: Programmable Folding: Computational Design with an Embedded Assembly Logic

40

Page 41: Programmable Folding: Computational Design with an Embedded Assembly Logic

41

DESIGN RESEARCH DEVELOPMENT

CHAPTER 06

Page 42: Programmable Folding: Computational Design with an Embedded Assembly Logic

42

w1h1

w2

h2

w3

w1h1

w2

h2

w3

SIMPLE KIRIGAMI MODULES

I explored a few simple modules of kirigami and parametrized the variables. It is important to note that not all variables can be changed without inserting additional folds. These are some of the study models I fabricated in an effort to have a better understanding of the folds, cuts, and relationship between panels, and how to produce more or less curvature.

Module 1

Page 43: Programmable Folding: Computational Design with an Embedded Assembly Logic

43

Page 44: Programmable Folding: Computational Design with an Embedded Assembly Logic

44

h1

h2

h3

d2

w2

d1

w1

h1

h2

h3

d2

w2

d1

w1

SIMPLE KIRIGAMI MODULES

This series of experiments investigates triangular cuts and “glide” modules. Here I discovered that not all parameters can be modified without folding implications. Some of the tests show gaps in the folded module and begin to reveal the parameters of kirigami that cannot as easily be manipulated without consequences.

Module 2

Page 45: Programmable Folding: Computational Design with an Embedded Assembly Logic

45

Page 46: Programmable Folding: Computational Design with an Embedded Assembly Logic

46

h1

h2

d1h3

h1

h2

d1h3

Module 3

SIMPLE KIRIGAMI MODULES

These hexagonal cuts are a variation of Module 1, with two additional “relief” folds on each side to allow synclastic or anticlastic bending between modules.

Page 47: Programmable Folding: Computational Design with an Embedded Assembly Logic

47

Page 48: Programmable Folding: Computational Design with an Embedded Assembly Logic

48

right angle slit

obtuse slit

tapering edges

widening edges

wide slitacute slit

KIRIGAMI FUNDAMENTALS

After numerous studies with the basic kirigami cuts and folds, some key principles of kirigami can be abstracted. For example, a right angle between a cut will produce a vertical panel, while making it larger or smaller will change the relationship to the lower panel.

Changing width between mountain and valley folds will influence a module’s height, while manipulating the width of the cut will simply change the dimensions between modules. Finally, changing angle between the mountain and valley folds to be smaller or larger will result in an downward or upward curvature (respectively) between modules.

Page 49: Programmable Folding: Computational Design with an Embedded Assembly Logic

49

right angle slit

obtuse slit

tapering edges

widening edges

wide slitacute slit

Page 50: Programmable Folding: Computational Design with an Embedded Assembly Logic

50

MANIPULATING KIRIGAMI MODULES

SYMMETRICAL QUAD PATTERNThese modules are arranged in a simple quad pattern with slight variations in order to understand their relationship to one another. These studies look at the resolution of panelization and experiment with changing single folds from mountain to valley. A single fold can change the global pattern from flat, to cylindrical, to undulating.

ASYMMETRICAL QUAD PATTERNTaking some of the knowledge from module placement manipulation, the next step is to move around and rotate the modules. While moving a module up and down is simple and successful, module rotation is less so as it creates many unforeseen issues that are much more mathematically complicated to solve. The diagrams on the next page explain these limits.

Page 51: Programmable Folding: Computational Design with an Embedded Assembly Logic

51

Page 52: Programmable Folding: Computational Design with an Embedded Assembly Logic

52

MODULE MANIPULATION

Further investigation in global configurations requires a more in-depth look at translation of modules. While moving a module up, down, and side to side, the kirigami cut remains unchanged because all edge cut sides remain equal.

However, if a rotation is made, the cut edges are no longer equal and must be adjusted to compensate for the additional length. This also involves the addition of another crease to alleviate any tension between plates and subsequently complicates the kirigami pattern.

module rotation

module translation

unlimited translation

unequal edge lengths need to be compensated for

Page 53: Programmable Folding: Computational Design with an Embedded Assembly Logic

53

module rotation

module translation

unlimited translation

unequal edge lengths need to be compensated for

Page 54: Programmable Folding: Computational Design with an Embedded Assembly Logic

54

SIXTON PATTERN

Hexagonal patterns allow much more freedom when designing a global pattern as the geometry of triangles is embedded in the global pattern as well. These studies attempt to examine at synclastic and anticlastic surfaces, and investigate how one could potentially approximate curvature and sustain variation within the patterns.

Page 55: Programmable Folding: Computational Design with an Embedded Assembly Logic

55

Page 56: Programmable Folding: Computational Design with an Embedded Assembly Logic

56

SURFACE DECONSTRUCTION

These surfaces have the opposite approach of previous tests, as they begin with the surface design, decompose the curvature and slope, and apply the learned fundamentals of kirigami modules. After the surface is decomposed, a kirigami cut pattern is arranged with rigid plates sandwiching a thin sheet of flexible plastic to act as a hinge. The mitred joints inform the angle between two adjacent plates, and rubber bands act as the actuation to pull the structure into its final configuration.

Page 57: Programmable Folding: Computational Design with an Embedded Assembly Logic

57

polypropelyene for live hinge

wood sandwich panels

mitre joint for flexibility with stops

held in place with tension

Global Form Deconstruction

Figure 06.01 Joint possibility with multi-material kirigami

Figure 06.02 Sandwich assembly with rigid kirigami

Page 58: Programmable Folding: Computational Design with an Embedded Assembly Logic

58

RIGID KIRIGAMIThis prototypical model is constructed of two layers of wood panels, sandwiching a sheet of polypropylene plastic between them. Mitred joints, similar to the Woodskin project, allow folding between panels with a specific programmed angle. The final configuration is held in place with rubber bands to simulate tension cables and small bolts.

Page 59: Programmable Folding: Computational Design with an Embedded Assembly Logic

59

Page 60: Programmable Folding: Computational Design with an Embedded Assembly Logic

60

Figure 06.03 Folding and unfolding of rigid kirigami

Page 61: Programmable Folding: Computational Design with an Embedded Assembly Logic

61

Page 62: Programmable Folding: Computational Design with an Embedded Assembly Logic

62

KIRIGAMI TRIPLET COMBINATION

Kirigami cuts can also be combined into double-layered structures in many base forms: triangles, squares, and hexagons. These “triplets” result in more complex forms that create an interesting sandwiching structure. The structural capabilities of these modules have enormous amount of potential for thick plate systems, and they can be varied to approximate curvature.

After extensive research into the kirigami modules and potentials, this Programmable Folding focuses on the triangle triplets, as they allow easy surface approximation and eliminate planarity issues of quads and hexagons.

Figure 06.02 Kirigami double-layer structural potentials

section and axon of kirigami triplet double-layer structure

formulating kirigami triplet

section and axon of kirigami triplet double-layer structure

formulating kirigami triplet

Page 63: Programmable Folding: Computational Design with an Embedded Assembly Logic

63

Figure 06.01 Potential kirigami triplet combinations

Page 64: Programmable Folding: Computational Design with an Embedded Assembly Logic

64

MANIPULATING TRIANGLE RATIOS

One of the two methods for creating curvature in kirigami is to take advantage of the triangle relationship of each side of the sandwich structure. By subtly adjusting these ratios of upper and lower triangles, one can control the intensity and location of curvature. Because the triangles are being adjusted symmetrically around their center, there is very little additional computation that needs to be applied to create a working kirigami pattern.

:

:

Figure 06.02 Changing top and bottom triangle ratios to achieve varying levels of curvature

Page 65: Programmable Folding: Computational Design with an Embedded Assembly Logic

65

:

:

:

Page 66: Programmable Folding: Computational Design with an Embedded Assembly Logic

66

APPROXIMATING OVERALL CURVATURE

Based on the relationship between the top triangle, bottom triangle, and depth of the pattern, one can calculate the curvature at any specified point. This subdivision is important to the resolution and aesthetic of the final design. These simple angle calculations are embedded within Programmable Folding’s computational design tool so that geometrical constraints predict unfoldable kirigami patterns.

Figure 06.03 Calculating curvature at a specific point

θ = 180 - 2θ( )

H

H

H

= tan = 180 - 2-1

max

W1

W1

W2 -W2W1

W2

-W2

W1

ΔHΔW

θ

θ totalθ maxθ

θ

θ

100

50

100

25

100

10

maxmaxmax

Based on the relationship between the top triangle, bottom triangle, and depth of the pattern, one can calculate the curvature at any specified point.

CALCULATING THE ANGLE BETWEEN SEGMENTS:Based on the relationship between the top triangle, bottom triangle, and depth of the pattern, one can calculate the curvature at any specified point.

CALCULATING THE ANGLE BETWEEN SEGMENTS:

θ = 233° θ = 208° θ = 191°

Page 67: Programmable Folding: Computational Design with an Embedded Assembly Logic

67

θ = 180 - 2θ( )

H

H

H

= tan = 180 - 2-1

max

W1

W1

W2 -W2W1

W2

-W2

W1

ΔHΔW

θ

θ totalθ maxθ

θ

θ

100

50

100

25

100

10

maxmaxmax

Based on the relationship between the top triangle, bottom triangle, and depth of the pattern, one can calculate the curvature at any specified point.

CALCULATING THE ANGLE BETWEEN SEGMENTS:Based on the relationship between the top triangle, bottom triangle, and depth of the pattern, one can calculate the curvature at any specified point.

CALCULATING THE ANGLE BETWEEN SEGMENTS:

θ = 233° θ = 208° θ = 191°

Page 68: Programmable Folding: Computational Design with an Embedded Assembly Logic

68

connection panels become increasingly skewed

1D CURVATURE

All of the previous kirigami studies have investigated double curvature (dome) and zero curvature (flat surfaces). In manipulating kirigami to curve in one direction, it is impossible to do so without scaling the triangles unevenly. Figure 06.05 and Figure 06.06 demonstrate the only ways to create a 1D curvature with equilateral triangle kirigami.

Figure 06.04 explains the geometrical problems with 1D kirigami curvature. The desired inside and outside layers are represented by the cylinders nested inside each other. However, the inside cylinder must be scaled in three dimensions instead of only two. While the kirigami works for the first few layers, one moves up the cylinder, the connection between inside and outside triangles become more and more skewed. Furthermore, unrolling the geometry (Figure 06.05) creates a pattern that requires additional joining. Figure 06.06 utilizes truncation as an alternative solution, although the truncation forms additional holes within the folded pattern that cannot be closed.

These experiments were a crucial turning point in the research for Programmable Folding, as it quickly became evident that a much more robust computational tool was necessary to program the required kirigami cuts.

Figure 06.04 Diagram of internal scaling that must happen in order to achieve one dimensional curvature

Page 69: Programmable Folding: Computational Design with an Embedded Assembly Logic

69

connection panels become increasingly skewed

Figure 06.05 Approximating 1 dimensional curvature with without truncation

Figure 06.06 Approximating 1 dimensional curvature with truncation

Page 70: Programmable Folding: Computational Design with an Embedded Assembly Logic

70

MANIPULATING TRIANGLE RATIOSAs seen in the previous research development and in Figure 06.07, it is possible to create double curvature by having a consistent ratio of top to bottom triangles in a kirigami sandwich structure.

The next step is to program local curvature by asymmetrically manipulating the top and bottom sides. In Figure 06.09, the top side of the triangles are scaled from one end of the pattern to the other. This creates zero curvature on one end, and gradually transitions into double curvature.

Figure 06.08 uses the same approach, but scales the triangles on each side inversely to each other, creating a simple double curvature. While triangle scaling to achieve curvature works when applied gradually, further computational tools are required when working with more complex surfaces.

Figure 06.07 Consistent triangle ratios

:

:

Page 71: Programmable Folding: Computational Design with an Embedded Assembly Logic

71

:

::

:

:

::

:

Figure 06.08 Change triangle ratios with indirect proportions

Figure 06.09 Change triangles with single attractor on one side

Page 72: Programmable Folding: Computational Design with an Embedded Assembly Logic

72

ASYMMETRICAL MANIPULATIONS

After thoroughly investigating symmetrical scaling of triangles to create curvature in kirigami sandwich structures, Programmable Folding looks to asymmetrical manipulation. Because adjacent, connecting edges of kirigami have to be equal, it is necessary to relax modified geometry to create a foldable pattern.

Remember the complex problems with one dimensional curvature? By asymmetrically scaling one side of the sandwich structure and relaxing the geometry with kangaroo, it is possible to create a one dimensional curvature from one sheet without truncation.

Page 73: Programmable Folding: Computational Design with an Embedded Assembly Logic

73

Figure 06.10 Asymmetrical manipulation and edge relaxation

:

:

Page 74: Programmable Folding: Computational Design with an Embedded Assembly Logic

74

KIRIGAMI RULES

After achieving a wide range of variability in kirigami, there are two rules which cannot be broken. As shown in Figure 06.11, the edge lengths must be equalized after asymmetrically manipulating the triangles. This is to ensure that the kirigami pattern can fold and have all the seams match. Figure 06.12 shows the geometric limits of manipulating the pattern, and how the scaling of triangles past the limits of adjacent triangles is not possible.

Figure 06.11 Edge length correction to ensure foldability

Page 75: Programmable Folding: Computational Design with an Embedded Assembly Logic

75

Figure 06.12 Over-manipulation of kirigami pattern

Page 76: Programmable Folding: Computational Design with an Embedded Assembly Logic

76

SADDLE SHAPEAfter experimenting with manipulating kirigami in one dimension, I applied the same logic to scale the pattern in two dimensions. This scaling, after cut out lengths are equalized, exhibits negative Gaussian curvature and folds into a saddle shape.

Figure 06.13 Manipulating the pattern in two dimensions

Page 77: Programmable Folding: Computational Design with an Embedded Assembly Logic

77

Figure 06.14 Simple saddle prototype

Figure 06.15 Saddle simulation. Highlighted: direction of triangle scaling

Page 78: Programmable Folding: Computational Design with an Embedded Assembly Logic

78

MANIPULATING KIRIGAMI SUB-STRUCTUREApart from manipulating kirigami triangle ratios, it is possible to determine general forms by modifying the hexagonal sub-structrue. This catalogue shows the wide range of curvature possible by simply changing a simple vertex. The research proposal will use ths as one of the methods for approximating curvature.

Figure 06.16 Mesh substructure catalogue and resulting fold geometry

1x_quad_highres1x_quad_lowres

1x_decagon_highres1x_decagon_lowres

1x_octagon_highres1x_octagon_lowres

1x_dodecagon_lowres

1x_quad, 1x_octagon_lowres

1x_heptagon, 1xpentagon_lowres 1x_heptagon_highres

1x_quad, 1xoctagon_highres

3x_octagon_highres

Page 79: Programmable Folding: Computational Design with an Embedded Assembly Logic

79

1x_quad_highres1x_quad_lowres

1x_decagon_highres1x_decagon_lowres

1x_octagon_highres1x_octagon_lowres

1x_dodecagon_lowres

1x_quad, 1x_octagon_lowres

1x_heptagon, 1xpentagon_lowres 1x_heptagon_highres

1x_quad, 1xoctagon_highres

3x_octagon_highres

Page 80: Programmable Folding: Computational Design with an Embedded Assembly Logic

80

Figure 06.17 Monkey saddle base pattern

MANIPULATING KIRIGAMI SUB-STRUCTUREBuilding on the research of kirigami sub-structures, this monkey saddle is formed by replacing the central hexagon of a pattern with an octagon. The extra two vertices program the flat pattern with negative Gaussian curvature. This rest of the kirigami triangles are applied normally, relaxed into a foldable pattern, and assembled.

Figure 06.18 Flat folding pattern folding into a monkey saddle

Page 81: Programmable Folding: Computational Design with an Embedded Assembly Logic

81

Figure 06.19 Monkey saddle folding simulation

Page 82: Programmable Folding: Computational Design with an Embedded Assembly Logic

82

JOINT DETAIL TESTSThe joint details went through a number of iterations beginning with the paper models. A system of tabs was developed out of necessity to assemble intricate models more quickly. After experimenting with different scales and secondary materials, I settled on a 2-2-tabbing joint system. The first “2” refers to the number of tabs per side, to add stability to the edges. The second “2” refers to the number of adjacent modules that each module is connected to. After the module interlocks its two open sides together, it locks into the next module. The second one, in turn, is locked into the third and the third is locked back to the first. This reciprocal tabbing system balances structural stability and assembly time.

Figure 06.20 2-2 tabbing system

Page 83: Programmable Folding: Computational Design with an Embedded Assembly Logic

83

Figure 06.21 Single, large tabs

Figure 06.23 Zip tie joining experiments

Figure 06.22 Two tabs per side (final design)

Page 84: Programmable Folding: Computational Design with an Embedded Assembly Logic

84

Figure 06.24 Size comparison of sample prototypes and their volume

SURFACE RESOLUTIONOne interesting discovery during the design research phase was playing with the scale and resolution of kirigami fold patterns. The monkey saddle pattern used slightly less than a full sheet of polypropylene (because of its symmetric nature and asymmetry of the plastic sheet). The next prototype takes 1/6th of the monkey saddle pattern and scales the resolution up. Despite the difference in triangle numbers, both prototypes take up approximately the same area, only with differing thicknessess.

800mm

400mm

1200mm

600mm

400mm 400mm

large prototypeaverage triangle length: 120mm

original polypropylene sheet

monkey saddle prototypeaverage triangle length: 40mm

Page 85: Programmable Folding: Computational Design with an Embedded Assembly Logic

85

Figure 06.25 Monkey saddle pattern (400mm x 400mm x 40mm)

Figure 06.26 1/6th of monkey saddle pattern (400mm x 600mm x 120mm)

Page 86: Programmable Folding: Computational Design with an Embedded Assembly Logic

84

Page 87: Programmable Folding: Computational Design with an Embedded Assembly Logic

85

RESEARCH PROPOSALCHAPTER 07

Page 88: Programmable Folding: Computational Design with an Embedded Assembly Logic

86

DESIGN GENERATIONThe overall design is generated from the two driving factors that have been explored in the design research phase: approximating curvature from bespoke mesh sub-structures and manipulating local curvature with top and bottom triangle ratios.

First, the desired surface is approximated and unrolled into a flat pattern. Here we apply the first shape determining method: a hexagonal mesh is generated with an octagon at the curvature centroid to create negative curvature. Then the mesh is relaxed and the user chooses the boundary conditions of the final form.

After the base mesh is finalized, a basic kirigami triangle pattern is applied. From there, the second tool for manipulating curvature is applied. Based on attractor points, one can program in local positive or negative curvature. Next, the pattern is run through kangaroo to equalize neighboring edge lengths. Once complete, the lines are connected to make the familiar kirigami pattern. After applying dashing and tabbing, the pattern is ready for production.

Figure 07.01 Site planes generate design

equilaze lines

generate kirigami pattern from base triangleslocally manipulate curvature

check line lengths

generate kirigami triangles from mesh base generate kirigami pattern cut sheet specs

mesh pattern based on desired general form

user-determined boundary condition

unrolled site conditions

central vertex

ceiling-wall

wall-wall

stair-wall

stair-ceiling

Page 89: Programmable Folding: Computational Design with an Embedded Assembly Logic

87

equilaze lines

generate kirigami pattern from base triangleslocally manipulate curvature

check line lengths

generate kirigami triangles from mesh base generate kirigami pattern cut sheet specs

mesh pattern based on desired general form

user-determined boundary condition

unrolled site conditions

central vertex

ceiling-wall

wall-wall

stair-wall

stair-ceiling

Page 90: Programmable Folding: Computational Design with an Embedded Assembly Logic

88

INSTALLATION PROPOSALThe final architectural installation of Programmable Folding exhibits the control that is achievable by asymmetrically manipulating kirigami fold patterns. It will comprise of ~25 sheets of 0.5mm polypropylene, which, when assembled, has a volume of over 2 m². The design exhibits a response to pre-existing site conditions, filleting the wall corner and making a nice transition from the half-floor staircase into a wall element. Its specific curvature is possible by both manipulation of kirigami geometry substructure, as well as programmed local curvature based on triangle ratios. This prototype showcases the full control that Programmable Folding has achieved and provokes further questions about design opportunities and architectural space potentials of kirigami.

Page 91: Programmable Folding: Computational Design with an Embedded Assembly Logic

89

Page 92: Programmable Folding: Computational Design with an Embedded Assembly Logic

90

Page 93: Programmable Folding: Computational Design with an Embedded Assembly Logic

91

DISCUSSIONCHAPTER 08

Page 94: Programmable Folding: Computational Design with an Embedded Assembly Logic

92

DISCUSSION

GEOMETRICAL CONSTRAINTSAs seen in the mesh base catalogue, there are a few geometries that are not compatible with kirigami triangle patterns. The next step in this research would be to branch out, investigating other geometries and understanding the full constraints. With a wider range of geometries, a more detailed catalogue can be developed and then the full understanding of architectural implications of kirigami would be realized.

JOINTSAlthough it is not a problem in larger sheets, smaller folding patterns do not have the tabbing strength to combat the internal forces. To the right is an example from the monkey saddle prototype: even though the geometry works to keep all folds planar, the tabs are simply not strong enough at the center vertex where all the material forces are concentrated. It is possible, here, to introduce apertures to release the stress. This method acts as a design driver, and allows the general viewer to understand the base mesh logic with a cursory glance.

Figure 08.01 Problematic mesh bases, usually caused by odd numbered vertices or the addition of too many

verticies next to each other

1x_quad, 1x_octagon_lowres 1x_heptagon_highres 3x_octagon_highres

Page 95: Programmable Folding: Computational Design with an Embedded Assembly Logic

93

Figure 08.02 Center vertex of monkey saddle prototype

Page 96: Programmable Folding: Computational Design with an Embedded Assembly Logic

94

Page 97: Programmable Folding: Computational Design with an Embedded Assembly Logic

95

OUTLOOKCHAPTER 09

Page 98: Programmable Folding: Computational Design with an Embedded Assembly Logic

96

EMBEDDED ASSEMBLY INTELLIGENCEAlthough Programmable Folding’s final installation is incrementally folded, one possible avenue for further research is different kinds of actuation. Figures 9.01-9.04 demonstrate the possibilities of actuation explored in various engineering, architecture, and biology research. These actuators range from heat, robots, electricity or light.

Although Programmable Folding utilizes a flexible plastic because of its’ ability to incrementally fold, it is extremely relevant to investigate thick, rigid materials when applying kirigami to larger, architectural scales. These would require some kind of simultaneous actuation, as they are not flexible enough for incremental folding. This design opportunity serves as a driver to further embed the assembly process within the programmed fold patterns. Integrating such intelligence would challenge the traditional design process and existing tools, and speculates on the potential of large scale deployable, folded structures.

Figure 09.01 Self-deploying origami stent grafts

Page 99: Programmable Folding: Computational Design with an Embedded Assembly Logic

97

Figure 09.02 Robotic folding

Figure 09.03 Electrical programmable matter Figure 09.04 Origami-enabled deformable silicon solar cells

Page 100: Programmable Folding: Computational Design with an Embedded Assembly Logic

98

industrial design temporary shelters permanent, structural design space

ARCHITECTURAL SYSTEM & FUNCTIONAs an outlook, I would like to consider the design implications of kirigami in a varying range of architectural systems. Whether applied to industrial design, temporary shelters, or full-scale permanent structures, kirigami’s spatial and structural capabilities can be implemented across multiple scales. More complex fold patterns, a higher degree of control, and varying thicknesses are all topics to be further explored. Using kirigami as a design driver for localized system differentiation, one can discover new functional roles and material possibilities of deployable sheet material in design and architecture.

Page 101: Programmable Folding: Computational Design with an Embedded Assembly Logic

99

industrial design temporary shelters permanent, structural design space

Page 102: Programmable Folding: Computational Design with an Embedded Assembly Logic

100

Page 103: Programmable Folding: Computational Design with an Embedded Assembly Logic

101

ACKNOWLEDGMENTS:

Tutors:David Correa

Oliver David KriegBenjamin Felbrich

Achim MengesJan Knippers

University of PennsylvaniaPhysics & Astronomy Department:

Toen Castle, Randall Kamien

RoboFold : Ema & Gregory Epps

Design & Development:Djordje Stanojevic

Boyan MilhalovKenryo Takahashi

Emily ScoonesMaria Yablonina

Yuliya Baranovskaya Georgi Kaslachev

Fabrication: Colin O’Keefe

Josh FewSasha Mballa

Bruno KnychallaLeonard Balas

Becca Jaroszewski

My family:Donna Stamps

Danny NoneakerDon StampsPat Stamps

Page 104: Programmable Folding: Computational Design with an Embedded Assembly Logic

102

REFERENCESN. M. Benbernou, E. D. Demaine, M. L. Demaine, and A. Ovadya (2011). “Universal Hinge Patterns for Folding Orthogonal Shapes in Origami.” A K Peters Ltd., pp. 405-419.

H. Buri, Y. Weinand (2010). “Origami: Folded Plate Structuctures.”Laboratory for timber constructions IBOIS, - Ecole Polytechnique Fédérale Lausanne, EPFL Lausanne, Switzerland.A. Byoungkwon, N. Benbernou, E. Demaine, D. Rus (2011). “Planning to Fold Multiple Objects from a Single Self-Folding Sheet.”

T. Castle et al. (2014). “Making the Cut: Lattice Kirigami Rules.” Phys. Rev. Lett. 113, 245502.

G. Epps et al (2015). “Foldable = Makable.” www.curvedfolding.com.

B. Felbrich. (2013). “Bionics in Architecture: Experiments with Multi-Agent Systems in Irregular Folded Structure.” Tutors: S. Wiesenhütter, D. Lordick

J. Gattas, W. Wu, Z. You. “Miura-Base Rigid Origami Parameterizations of First-Level Derivative and Piecewise Geometries.” Department of Engineering Science: University of Oxford.

F. Gioia, D. Dureisseix, R. Motro, B. Maurin (2014). “Design and Analysis of a Foldable/Unfoldable Corrugated Architectural Curved Envelope.” Università Politecnica delle Marche

E. Hawkes, B. An, N. M. Benbernou, H. Tanaka, S. Kim, E. D. Demaine, D. Rus, and R. J. Wood (2010). “Programmable Matter by Folding.” Proceedings of the National Academy of Sciences.

Hoberman, C. (1988). “Reversibly Expandable Three-Dimensional Structure.” United States Patent, No. 4,780,344.

K. Kuribayashi, K. Tsuchiya, Z. You, D. Tomus, M. Umemoto, T. Ito, M. Sasaki (2005). “Self-Deployable Origami Stent Grafts as a Biomedical Application of Ni-rich TiNi Shape Memory Alloy Foil.”

Y. Klein, E. Efrati, and E. Sharon (2007). “Shaping of Elastic Sheets by Prescription of Non-Euclidean Metrics,” Science 315 1116-1120.

P. Jackson(2011). “Folding Techniques for Designers: From Sheet to Form.” Laurence King Publishing Ltd. London, United Kingdom.

R.J. Lang (1996). A Computational Algorithm For Origami Design.” Proceedings of the Twelfth Annual Symposium on Computational Geometry (ACM, New York), pp. 98–105.

L. Mahadevan and S. Rica (2005). “Self-Organized Origami.” Science 307, 1740.

S. Miyashita, D. Rus (2013). “Multi-Crease Self-Folding by Uniform Heating.” Computer Science and Artificial Intelligence Laboratory: MIT.

B. Mihaylov (2014). “Encoded Surfaces: Topological Design of Woven Hybrid Textiles.” ICD Diploma

McNeel. “Grasshopper – Generative Modelling for Rhino.” http://grasshopper.rhino3d.com/

K. Miura (1985). “Method of Packaging and Deployment of Large Membranes in Space.” Proceedings of the 31st Congress of the International Astronautical Federation, IAF-80-A 31, (American Institute for Aeronautics and Astronautics, New York, 1980), pp. 1-9.

J.H. Na et al. (2014). “Programming Reversibly Self-Folding Origami with Micro-patterned Photo Crosslinkable Polymer Trilayers.” Adv. Materials 27, 79-85.

C. Onal, R. Wood, D. Rus (2011). “Towards Printable Robotics: Origami-Inspired Planar Fabrication of Three-Dimensional Mechanisms.” 2011 IEEE International Conference on Robotics and Automation.

J. Paulose, B.G. Chen, and V. Vitelli (2015). “Topological Modes Bound to Dislocations in Mechanical Metamaterials.” Nature Phys. 11, 153-156.

Piker, Daniel (2009). “Origami Electromagnetism.” https://spacesymmetrystructure.wordpress.com/2009/03/24/origami-electromagnetism/

H. Pottmann, A. Asperl, M. Hofer, A. Killian, D. Bentley (2007). “Architectural Geometry.” Bentley Institute Press: Exton, PA.

J.F. Sadoc, J. Charvolin, and N. Rivier (2013). “Phyllotaxis on Surfaces of Constant Gaussian Curvature.” J. Phys. A: Math. Theor. 46, 295202.

M. Schenk (2011). “Folded Shell Structures.” University of Cambridge: Doctoral Thesis. Supervisor: S.D. Guest

M. Schenk, S. D. Guest. (2011). “Origami Folding: A Structural Engineering Approach.”

Page 105: Programmable Folding: Computational Design with an Embedded Assembly Logic

103

J. L. Silverberg et al. (2014). “Using Origami Design Principles to Fold Reprogrammable Mechanical Metamaterials.” Science 345 647-649 (2014).

J.L. Silverberg, et al. (2015). “Origami Structures with a Critical Transition to Bi-stability Arising from Hidden Degrees of Freedom.” Nature. Mat. 14, 389-393.

D. Sussman, Y. Cho, T. Castle, T. Gong, E. Jung, S. Yang, R. Kamien (2015). “Algorithmic Lattice Kirigami: A Route to Pluripotent Materials.”

R. Tang, H. Huang, H. Tu, H. Liang, M. Liang, Z. Song, Y. Xu, H. Jiang, H. Yu (2014). Origami-enabled deformable silicon solar cells. Applied Physics Letters 104.

Tachi (2009). “Generalization of Rigid-Foldable Quadrilateral-Mesh Origami.” Journal of the International Association for Shell and Spatial Structures.

T. Tachi (2013). “Freeform Origami Tessellations by Generalizing Resch’s Patterns.” Proceedings of the ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. University of Tokyo.

T. Tachi (2013). “Interactive Form-Finding of Elastic Origami.” University of Tokyo.

T. Tachi (2009). “Simulation of Rigid Origami.” In Origami: The Fourth International Conference on Origami in Science, Mathematics, and Education.

T. Tachi (2010). Freeform Variations of Origami , J. Geometry and Graphics 14, 203-215.

M. Tolley, S. Felton, S. Miyashita, L. Xu, B. Shin, M. Zhou, D. Rus, R. Wood (2013). “Self-Folding Shape Memory Laminates for Automated Fabrication.” Z. You (2014). “Folding Structures Out of Flat Materials: Reconfigurable machines and internally structured materials can be created through folding.” Materials Design: Vol. 345, Issue 6197.

Page 106: Programmable Folding: Computational Design with an Embedded Assembly Logic

104

LIST OF FIGURESFigure 01.01 http://thomasdiewald.com/blog/?p=743

Figure 03.01 Folding Techniques for Designers: From Sheet to Formhttps://spacesymmetrystructure.files.wordpress.com/2009/01/foldingpatterns.pdfFolding Techniques for Designers: From Sheet to FormFolding Techniques for Designers: From Sheet to Formhttps://spacesymmetrystructure.files.wordpress.com/2009/01/foldingpatterns.pdfFolding Techniques for Designers: From Sheet to Formhttp://www.detail.de/architektur/themen/origami-faltkunst-fuer-tragwerke-000497.htmlhttps://farm8.staticflickr.com/7028/6684347075_b272005316.jpghttps://spacesymmetrystructure.files.wordpress.com/2009/01/foldingpatterns.pdfhttps://spacesymmetrystructure.files.wordpress.com/2009/01/foldingpatterns.pdfhttp://blog.novedge.com/2014/05/the-edge-michele-calvano-and-the-architecture-of-folded-surfaces.html

Figure 03.02 https://instagram.com/hyperqbert/

Figure 04.01http://www.evolo.us/architecture/bowoos-bionic-research-pavilion-is-inspired-by-marine-biodiversity/http://laughingsquid.com/wp-content/uploads/2014/02/the-evolution-door-a-clever-door.jpg http://www.a10.eu/news/headlines/sculptural_object_novi_sad.html http://www.archdaily.com/362951/woodskin-the-flexible-timber-skin/http://2.bp.blogspot.com/_Je8B4--Ky9E/S52NTUSBoII/AAAAAAAAADI/5bzAN2vZ_sE/s1600-h/olafur_eliasson2-1.jpg https://vimeo.com/89379866www.rvtr.comhttp://www.eric-hull.com/appended-space/http://www.evolo.us/architecture/bowoos-bionic-research-pavilion-is-inspired-by-marine-biodiversity/http://thedesigninspiration.com/articles/shenzhen-baoan-international-airport-expansion-t3/ http://www.eikongraphia.com/?p=324http://www.pleatfarm.com/2009/12/21/folded-plate-hut-in-osaka/

Figure 04.03 T. Tachi (2013). “Freeform Origami Tessellations by Generalizing Resch’s Patterns.” Proceedings of the ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. University of Tokyo.

Figure 04.02 https://spacesymmetrystructure.wordpress.com/2009/03/24/origami-electromagnetism/

Figure 04.04 http://www.tessellated.com/

Figure 04.05 http://www.wired.com/2015/01/quanta-curves-from-flatness-kirigami/

Figure 04.06, - Figure 04.08 D. Sussman, Y. Cho, T. Castle, T. Gong, E. Jung, S. Yang, R. Kamien (2015). “Algorithmic Lattice Kirigami: A Route to Pluripotent Materials.”

Figure 05.04 https://en.wikipedia.org/wiki/Gaussian_curvature

Figure 09.01 K. Kuribayashi, K. Tsuchiya, Z. You, D. Tomus, M. Umemoto, T. Ito, M. Sasaki (2005). “Self-Deployable Origami Stent Grafts as a Biomedical Application of Ni-rich TiNi Shape Memory Alloy Foil.”

Figure 09.02 www.robofold.com

Figure 09.03 E. Hawkes, B. An, N. M. Benbernou, H. Tanaka, S. Kim, E. D. Demaine, D. Rus, and R. J. Wood (2010). “Programmable Matter by Folding.” Proceedings of the National Academy of Sciences.

Figure 09.04 R. Tang, H. Huang, H. Tu, H. Liang, M. Liang, Z. Song, Y. Xu, H. Jiang, H. Yu (2014). Origami-enabled deformable silicon solar cells. Applied Physics Letters 104.

Page 107: Programmable Folding: Computational Design with an Embedded Assembly Logic

105

Page 108: Programmable Folding: Computational Design with an Embedded Assembly Logic

106

Page 109: Programmable Folding: Computational Design with an Embedded Assembly Logic

107

Page 110: Programmable Folding: Computational Design with an Embedded Assembly Logic

108

ABSTRACT:The aim of this thesis is to bridge the gap

between skin and structure. Programmable Folding explores computationally

manipulating the geometry of kirigami folding patterns in order to approximate

complex double curvature. These differentiated patterns can be translated

to flat-pack sheets with an embedded assembly logic. By programming the

underlying geometry and intrinsic curvature, the resulting kirigami patterns investigate potential design systems of how this logic can be applied to architectural design.

KEY WORDS:folding – pattern – flat-pack –

double-layer – kirigami - computational geometry – plastic – corrugation