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Additive Manufacturing for Large Structures · Topology and process optimization prof. van den...
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Additive Manufacturing for Large Structures
Dr Marcel HermansDr Constantinos Goulas
Prof. Ian Richardson
Department of Materials Science and EngineeringDelft University of Technology
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Contents
• Introduction
• Basic idea• History• Control
• Examples
• Ambitions & Challenges
Images courtesy Cranfield University
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Metal Additive ManufacturingAlso known as
• Additive (Layer) Manufacture (A(L)M)• (Laser) Cladding• Buttering• Digital manufacture• Direct Light Fabrication• Direct Metal Casting (DMC)• Direct Metal (Laser) Deposition (DM(L)D)• Laser Direct Casting or Deposition• Laser casting• Laser cladding • Laser Engineered Net Shaping (LENS)• Lasform• Laser melting• (Metal) Rapid Prototyping• Net shape manufacture• Net shape engineering• Shaped deposition manufacturing• Shaped melting• Selective Laser Melting (SLM)• Shaped Metal Deposition (SMD)• Shape Melting Technology (SMT)• Shape welding• Solid freeform fabrication (SFF)
Very Simply
Melting ⇒ Welding
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Basics of metal AM systems
For a single axisymmetric energy source at maximum melting efficiency build rate depends on the square of the layer height
Build
rate
kg/
hr
layer height (mm)1 2
1
4
0.1
0.01
0.225
0.5 3
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WAAM
Blown powder
Powder bed
High build rate wire processes
Resolution depends on the exact width to height ratio and on several other factors but is usually about 1.5 times the layer height
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Metal Additive Manufacture - History
• 1926 Baker – patented “The use of an electric arc as a heat source to generate 3D objects depositing molten metal in superimposed layers”
• 1971 Ujiie (Mitsubishi) Pressure vessel fabrication using SAW, electroslag and TIG, also multi-wire with different wires to give functionally graded walls
• 1983 Kussmaul used Shape Welding to manufacture high quality nuclear structural steel (20MnMoNi5 5) parts – deposition rate 80kg/hr – total weight 79 tonnes
This idea has been around awhile!
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• 1993 Prinz and Weiss patent combined weld material build up with CNC milling – called Shape Deposition Manufacturing (SDM)
• 1994-99 Cranfield University develop Shaped Metal Deposition (SMD) for Rolls Royce for engine casings, various processes and materials were assessed – still in production
800 mm
Metal Additive Manufacture - History
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Images courtesy Cranfield University
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Arc Based Deposition Processes
Gas Metal Arc
Gas Tungsten Arc
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Deposition Gas Metal Arc Welding
Globular transfer
Short circuiting transfer Pulsed transfer
Streaming transfer
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Thermal History
3 mm10 mm30 mm50 mm
70 mm
Properties depend on material composition and thermal history (time, temperature, cooling rate).
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Microstructure field
Increased travel speedCross section, steel weldFusion Zone, Heat Affected Zone
Seijffers
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Microstructure field
• Solidification
• Uni-directional heat flow
• Metallurgical effects (solidification microstructure, segregation, solid state transformations, grain size, precipitation, tempering, etc..)
R. SeijffersAISI316L/GTAW
Transverse crossSection
Heat flow
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No cooling
Cooling during deposition
CoolingInterpass time 7 s, 16 layers
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Wire Arc Additive Manufacturing (WAAM)
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Video & Images courtesy Cranfield University
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Courtesy: DAMEN & RAMLAB
WAAMpeller Project
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WAAMpeller Project
Place video here pleaseand check the sound level
Please set to start on click
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Courtesy: RAMLAB
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Total weight: 410 kg
• Weight Hub/Cap/Shaft/: 48kg/~5kg/~20kg = 73 kg
• Total welded wire ~ 337 kg
• Total build time: ~300 hours at ~1,6 kg/hour
WAAMpeller project
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Courtesy: RAMLAB
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Courtesy: DAMEN & RAMLAB
WAAMpeller Project
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H. Meigh, Cast and wrought aluminium bronzes, properties, processes and structure. Leeds: Maney Publishing, 2000.
Nickel Aluminum Bronze - Microstructure
• α phase: Cu-rich, FCC• β phase: Cu-rich, BCC
(HCP-martensite)
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β
• α phase: Cu-rich, FCC• β phase: Cu-rich, BCC
(HCP-martensite)• !" : 20-50 μm
Nickel Aluminum Bronze - Microstructure
H. Meigh, Cast and wrought aluminium bronzes, properties, processes and structure. Leeds: Maney Publishing, 2000.
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• α phase: Cu-rich, FCC• β phase: Cu-rich, BCC
(HCP-martensite)• !" : 20-50 μm• !# : 5-10 μm
Nickel Aluminum Bronze - Microstructure
H. Meigh, Cast and wrought aluminium bronzes, properties, processes and structure. Leeds: Maney Publishing, 2000.
β
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• α phase: Cu-rich, FCC• β phase: Cu-rich, BCC
(HCP-martensite)• !" : 20-50 μm• !# : 5-10 μm• !$ : lamellar form
Nickel Aluminum Bronze - Microstructure
H. Meigh, Cast and wrought aluminium bronzes, properties, processes and structure. Leeds: Maney Publishing, 2000.
β
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• α phase: Cu-rich, FCC• β phase: Cu-rich, BCC
(HCP-martensite)• !" : 20-50 μm• !# : 5-10 μm• !$ : lamellar form• !% : 2 μm
Nickel Aluminum Bronze - Microstructure
H. Meigh, Cast and wrought aluminium bronzes, properties, processes and structure. Leeds: Maney Publishing, 2000.
β
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WAAM CuAl8Ni6 - Microstructure
As Cast WAAM deposit
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Anisotropy in mechanical properties of 3D-Printed Bronze
TD WD BDDirections
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• Hooks: critical part of large offshore construction cranes
• Safe Working Loads (SWL): ranging from 100 – 10000 tons
• Conventional production: forging, casting
• Size range: 1m – 5.5m
Case: Large offshore crane hooks
Cast Ramshorn (2-prong) hook
• With size, both delivery time and material quality challenges increase
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Case: Large offshore crane hooks
Cast 4-prong hook
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Weight approx. 1000 kg
Width approx. 1.1 m
Case: Large offshore crane hooks
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AM Technical Challenges• Control of defects
• Extended models for more complex shapes
• Improved process monitoring and error prediction
• Improve process accuracy at smaller length scales
• Integrated machining
• Commercial software
• Commercial hardware
• Turn-key operation
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AM Scientific Challenges• Predict temperature and stress fields
• Influence of energy source• Influence of fluid flow
• Predict and control microstructures• Multiple heating and cooling cycles
• On the basis of the microstructure and thermal-mechanical history, predict mechanical properties
• Build the predictions into the optimisation models to determine build process, strategy etc.
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Offer a new materials-centric approach to additive manufacturing, focusing on large-scale components
Integrate design, microstructure and material properties through physically based models, delivering a unique capability to produce properties on demand
Provide the fundamental knowledge necessary for development and exploitation at the large scale
Additive Manufacturing for Extra Large Components (AiM2XL)
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Controlled and Graded Microstructures
BD
=2000 µm; Map6; Step = 5 µm; Grid1849x129
Zone 2: 950 WCoarse grain
Inconel 718 – laser powder deposition
Popovich et al. 2017
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The AiM2XL Programme
Project 1: Microstructure based topology optimisation for additive manufacturing of very large metal components (1PhD+2PDEng)
prof. van Keulen, TUD
Project 5: Sensing and adaptive Control for quality assurance during large scale additive manufacturingof metal components (1PhD+2PDEng)
RL1
Microstructure-properties relationship
RL3Microstructure prediction and
control
RL2
RL1Topology and
process optimization
prof. Römer, U. Twente
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The AiM2XL Programme
Project 3: Microstructure prediction and composition control for the development of tailored properties in additively manufact-ured metallic components (2PhD+1 PDEng)
dr. Hermans, TUD
Project 4: Local and global scale prediction and control of residual stresses and distortion in additively manufactured components (2PhD)
RL2
Microstructure-properties relationship
RL3Microstructure prediction and
control
RL2
RL1Topology and
process optimization
prof. van den Boogaard, U. Twente
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The AiM2XL Programme
Project 2: From structure to properties for large-scale additive manufacturing by wire deposition (2PhD)
prof. Geers, TUE
Project 6: From structure to Properties for large-scale additive manufacturing by powder deposition(1PD)
prof. Pei, U. Groningen
RL3
Microstructure-properties relationship
RL3Microstructure prediction and
control
RL2
RL1Topology and
process optimization
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Fast reeving socket
Marine rudder
Tailhook
Dem
onst
rato
rs
Exploitation
Prod
ucts
Basi
c re
sear
ch
PDEng + Researchers at RAMLAB
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Thank you for your attention!
Questions?
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AiM2XL
1. Properties on demand
Account for path, speed and power variations at the design optimisation stage
Develop optimisation strategies for multiple criteria, including process flow and post processing treatments
2. Topology optimization
Control properties by adapting thermal-mechanical conditions
3. Enhance local microstructures
and properties 4. Tailor graded microstructures
Develop gradient deposition conditions (composition / properties) to avoid sharp interfaces
Scientific Challenges
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AiM2XL
5. Control stress and distortionModel the influence of large numbers of heating/cooling cycles on thermal history and work hardening throughout a component
Establish adaptive closed loop process control to realise on-line product quality control
6. Adaptive closed loop process
control
Develop orientation-dependent strength and fracture behaviour models
7. Investigate material and
component properties
8 Demonstrators
Produce demonstators to explore the accuracy of model predictions
Scientific Challenges
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WAAM - Process features (1)Inclined torch (CMT)
Angled and horizontal walls
Straight near net shape Ti
thin wall
Machined intersections
Medium complexity 2D part
Weight efficient structure
With mixed materials
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Images courtesy Cranfield University
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WAAM Example part - Titanium Spar• 1.2 m long, welded
titanium spar
• 37 hours from digital model to completed part
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Images courtesy Cranfield University
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WAAM - Example part - Landing gear rib
Before(kg)
After(kg)
Buy-to-fly
Waste
Machining 240 21 11.6 91%
AM 24 21 1.15 13%
Deposition time - 24 hoursTitanium
Steel
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Images courtesy Cranfield University
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Additive Manufacturing Met. & Mater. Trans. A, [1073-5623] 44A(2), 968 -977, 2013. Courtesy Cranfield University & UMIST
Titanium deposit
No mechanical deformation
75 kNmechanical deformation
Images courtesy Cranfield University
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-300
-200
-100
0
100
200
300
400
500
-5 0 5 10 15 20 25 30 35 40 45
Long
itudi
nal s
tress
(MPa
)
Distance from top of baseplate (mm)
Contour Method Neutron Diffraction
Residual Stresses
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Courtesy Cranfield University
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Fatigue crack growth rate (Ti alloy)
1x10-9
1x10-8
1x10-7
1x10-6
1x10-5
1x10-4
1 10 100
da/d
n (m
m/c
ycle
)
∆K (MPa √m)
NASA
Control H1
Control H2
Control V1
Control V2
Rolled H1
Rolled H2
Rolled V1
Rolled V2
• Rolling has no negative influence on damage tolerance
• Fatigue crack growth rate is isotropic
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Courtesy Cranfield University
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Additive Manufacturing - challengesAM construction is currently process driven and many
limitations exist, including:
Porosity Control
High Residual Stresses
Excessive Distortion
Poor Repeatability
Lack of Predictability
Lack of Reliable Property Control
Variable Process Stability
Lack of Feedstock homogeneity
Absence of Process – Property Models
Difficulties with Up-scaling
Anisotropy
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Courtesy: DAMEN & RAMLAB
WAAMpeller Project