Material Selection Lecture

62
BMFB 3323 Materials Selection SEM II 2010/2011 BMFB 3323 SEM II 2014/2015 Lecture 2 THE DESIGN PROCESS THE B!SIC Lecture 2  Materials Selection: THE DESIGN PROCESS & THE BASIC

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Transcript of Material Selection Lecture

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BMFB 3323Materials SelectionSEM II 2010/2011

BMFB 3323 SEM II 2014/2015 Lecture 2 THE DESIGN PROCESS THEB!SIC

Lecture 2

 Materials Selection:THE DESIGN PROCESS & THE BASIC

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•  Materials Attributes:

e.g. Mechanical, thermal, electrical, !tical an" chemical

!r!ertie#, c#t an" a$aila%ilit&, !rce##ing characteri#tic# an" theen$irnmental cn#e'uence# ( it# u#e.

e.g. )en#it&, #trength, , re#i#tance t crr#in.

•  Process Attributes :

e.g. *he material# it can han"le, the #ha!e it can ma+e, their #ie,!reci#in an" the ecnmic %atch #ie -the num%er ( unit# that it an

ma+e m#t ecnmicall&.

 

REF"ECTION#

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To develop a strategy for selecting materials and

process that is design-led.

Using translation, screening, ranking and documentation

as a tool in selection strategy

"E!RNING O$TCOMES

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• “)e#ign i# the !rce## ( tran#lating a ne i"ea r a mar+e" nee"

int "etaile" in(rmatin (rm hich a !r"uct can %e ma"e -M.F.

 #h%&

•  Engineering "e#ign i# the !rce## ( "e$i#ing a #&#tem,

cm!nent, r !rce## t meet "e#ire" nee"#.

•  *he "e#ign !rce## cn#i#t# ( #e$eral #te!#, each ha# certain

characteri#tic# an" certain ta#+# t %e !er(rme":

 ecgni#ing a nee" -!r%lem

 )e(ining the !r%lem

 E#ta%li#hing #!eci(icatin#

 athering in(rmatin

INTROD$CTION

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THE DESIGN PROCESS

A systematic problem solving strategy, with criteria and

constraints, used to develop many possible solutions to

solve a problem or satisfy human needs and to narrowdown the possible solutions to one final choice

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TPES O! DESIGN

• New idea working principle !fromscratch"Original design

• #mprovements of e$isting product• e.g% &ars, consumer products !mobile

phones, cameras etc'"

Adaptive/Development

Design

• &hange in scale or dimensions withoutchanging the function

• e.g% desktop (& to laptop computerVariant Design

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THE DESIGN !LO" CHART

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THE DESIGN F"O% CH!RT

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MATERIALS DATA IN THE DESIGNPROCESS

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MATERIALS DATA IN THE DESIGNPROCESS

The design process may notseem as logical ) linear as it is.

The design process is completeonly when a compatible pathfrom “need* to “specification*can be identified.

The key + /#0##T1.

&2s3 &oncepts

2s3 mbodiments of &2s

42s3 4etailed reali5ations of 2s

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Metals

Ceramics

MATERIALSComposites

Polymers

lat ! S"eetS#APES

Prismatic

$%D

Casting

Mo&lding

PROCESSESPo'der Met"ods

Mac"ining

At each stage of thedesign, decisions needto be made aboutwhat to make it out of(Materials),and how to make it(Processes and

S"apes)

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*) Concept&al

4esign proceed by developing concepts to

perform the function

At this stage, all options are open

The designer considers alternatives concepts

and ways

THE DESIGN PROCESS

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+) Em,odiment

Take the promising concepts and seeks to analy5e their

operation at an appro$imate level.

#nvolves selecting materials, si5ing components,

e$amining the implications for performance and cost.

The embodiment stage ends with a feasible layout

Then passed to the detailed design stage

THE DESIGN PROCESS

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$) Detail

6pecifications for each component are drawn up.

7ptimi5ation methods are applied to ma$imi5e

performance.

inal choice of material and process are made

THE DESIGN PROCESS

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• #teration, looping back to e$plorealternatives, is an essential part of thedesign process.

• Think of each of the many possible

choices that could be made as an arrayof blobs in design space as suggested inthe fig.

• Then the design process becomes one ofcreating paths, linking compatible blobs,until a connection is made from the top!88market need22" to the bottom!88product specification22".

• 7nce a path is found, it is alwayspossible to make it look linear andlogical process.

• Thus a key part of design, and ofselecting materials for it, is  flexibility, the ability to explore alternatives

quickly.

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DESIGN TOO"S !ND M!TERI!"SD!T! 

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!#NCTION$ MATERIAL$SHAPE$ AND PROCESS

unction dictates the choice of bothmaterial and shape.

(rocess is influenced by the material3 byits formability, machinability, weldability,heat-treatability, and so on.

(rocess obviously interacts with shape9the process determines the shape, thesi5e, the precision and the cost.

The interactions are two-way3:.6pecification of shape restricts the choice

of material and process

;.6pecification of process limits thematerials you can use and the shapes they

can take

Functin, material, #ha!e an"

!rce## interact.

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E%a'le o( )esi*n 'rocess+,,Nee) - Conce't - E.o)ient

ConceptsNeed 

Embodiments

Direct pull  Levered pull Spring assisted pull  Geared pull 

  "e$ice i#

re'uire" t all

acce## t ine in

a cr+e" %ttle

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Detail

E.o)ient -Detail

Embodiment

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S&mmary

The key part of design and of selecting materials is

fle$ibility, the ability to e$plore alternatives <uickly

=eeping the big picture as well as the details in focus.

THE DESIGN PROCESS

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CASE ST#D :/, Coolin* 'o0er electronic

>icrochips, particularly those for power electronics,get hot. #f they get too hot, they cease to function.

?hat is the need@

A scheme for removing heat frompower microchips.

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6tep :34evise concepts to meet the need.

To remove heatfrom power

microchips

CASE ST#D :/, Coolin* 'o0er electronic

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To remove heatfrom powermicrochips

&:3 &onduction

&;3 &onvection

&3 vaporation

&B3 Cadiation

Concept 

CASE ST#D :/, Coolin* 'o0er electronic

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6tep ;36ketch an embodiment of all of them.

To remove heatfrom power

microchips

&:3 &onduction

&;3 &onvection

&3 vaporation

&B3 Cadiation

CASE ST#D :/, Coolin* 'o0er electronic

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To removeheat from

powermicrochips

&:3&onduction

>assive, with sufficient heat capacity to absorbheat over work cycle

&ompact, re<uiring back-up by coupling toconvection, evaporation or radiation

&;3&onvection

ree convection not re<uiring fan or pump

orced convection with fan or pump

&3vaporation

Unconfined, such as a continuous spray ofvolatile fluid

&onfined, utilising heat-pipe technology

&B3Cadiation

Cadiation to ambient, using high emissivitycoatings

Cadiation to cooled surface, from high emissivity

surface to highly absorbent surface

Concept Embodiment  

CASE ST#D :/, Coolin* 'o0er electronic

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ist three things that you are very clearof.

ist three things that you feel ha5y about.

ist three things that you need further

clarification.

THE DESIGN PROCESS

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BMFB 3323Materials SelectionSEM II 2010/2011

BMFB 3323 SEM II 2014/2015 Lecture 3 THE B!SIC

Lecture 1

 Materials Selection:THE BASIC

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6election involves seeking the best matchbetween the property-profiles of the materialsand that re<uired by the design.

The selection task involves3

a" #dentifying the desired attribute profile and then

b" &omparing it with those of real engineering

  materials to find the best match.

THE B!SICS OF M!TERI!"SSE"ECTION

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THE B!SICS OF M!TERI!"SSE"ECTION

M!TERI!"S SE"ECTION

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All Materials

Translate Design re-&irements

Screen &sing constraints

Ran. &sing o,ective

See. s&pporting in0ormation

inal MaterialC"oice

M!TERI!"S SE"ECTIONSTR!TEG& 

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The selection strategy

• ?hat does component do@unction

• ?hat non-negotiable conditions must be

met@• #s an essential condition that must be met,

usually e$pressed as a limit on a material orprocess attribute.

&onstraints

• ?hat is to be ma$imi5ed or minimi5ed@• #s a <uantity for which an e$treme value !a

ma$imum or minimum" is sought, fre<uentlycost, mass or volume.

7bDective

• ?hat parameters of the problem is thedesigner free to change.ree Eariable

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1) Translation

• Converting the design requirements into a prescription for

selecting a material and a process to shape it.

• Any engineering component has one or more functions,

subject to constraints, have one or more objectives

1'

Translation

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• Certain parameters can be adjusted in order to optimize the

objective free variables).

• !unction, constraints, objectives and free variables Table 1)

define the boundary conditions for selecting a material.

• The first step in relating design requirements to material properties is a clear statement of function, constraints,

objectives and free variables.

1'

Translation

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Table 1: Function, constraints, objectives

and free variablesFunction What does component do? to support a load, to contain a pressure, to

transmit heat, and so forth. This must beachieved

n#traint# hat nn6negtia%lecn"itin# mu#t %e met7

that certain dimensions are fixed, that thecomponent must carry the design loads without

 failure, that it insulates or conducts, that it can

 function in a certain range of temperature andin a given environment, and many more.

8%9ecti$e hat i# t %e maimie" rminimie"7

to make it as cheap as possible, perhaps, or aslight, or as safe, or perhaps some combinationof these.

Free;aria%le hat !arameter# ( the!r%lem i# the "e#igner (ree tchange

 parameters can be adjusted in order to optimizethe objective – the designer is free to varydimensions that are not constrained by designrequirements and, most importantly, free tochoose the material for the component.

THE SELECTION STRATEGY 

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 THE SELECTION STRATEGY

&onstraints

#s an essential

condition thatmust be met,usually e$pressedas a limit on amaterial orprocess attribute.

7bDective

#s a <uantity forwhich an e$tremevalue !a ma$imumor minimum" issought, fre<uently

cost, mass orvolume.

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 THE SELECTION STRATEGY

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Assume that you were an &7 for &apAyam &ompany, how do you select thebest candidate to be your secretary@

Assume that you wanna buy a netbook,how would you decide which brand to gofor@

Disc(ss in)airs#

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6trategy for materialselection involves fourmain steps3

:" Translating;" 6creening

" Canking

B" 4ocumentation

THE B!SICS OF M!TERI!"SSE"ECTION

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6trategy :3 Translating

Translating design re<uirement into function, constraints, objectives & free

variables.

unction@ &onstraints@

7bDective@ ree

variables@

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unction

&onstraint

7bDective

reeEariable

6trategy :3 Translating

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&ase 6tudies3 7ffice scissors

 A material is re<uired to manufacture officescissors. (aper is an abrasive material, and scissorssometimes encounter hard obstacles like staples.ist function and constraints% set the obDective to“minimi5e cost* and the free variables to “choice of

material*.

Elements inDesignRe-&irement

E1planation

unction

&onstraints

7bDective

ree variables

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 A material is re<uired to manufacture office scissors.(aper is an abrasive material, and scissors sometimesencounter hard obstacles like staples. ist functionand constraints% set the obDective to “minimi5e cost*and the free variables to “choice of material*.

Elements inDesignRe-&irement

E1planation

unction 6cissors

&onstraintsF Gigh hardnessF Ade<uate toughness3 =:c H :I> (a.m J

F Kood wear resistanceF Able to be forged

7bDective >inimi5e cost

ree variables &hoice of material

&ase 6tudies3 7ffice scissors

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A material is re<uired for a heat e$changer toe$tract heat from geo-thermally heated, saline,water at :;Lo& !and thus under pressure". istfunction and constraints% set the obDective to“minimi5e cost* and the free variables to “choice ofmaterial*.

Elements in DesignRe-&irement

E1planation

unction

&onstraints

7bDective

ree variables

&ase 6tudies3 Geat $changer

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6trategy ;3 6creening

Unbiased selection + consider all materialsto be candidates

liminate candidates that cannot do theDob at all because their attributes lies

outside the limits (refer to constraints)

&onstraints@

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6trategy 3 Canking

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6trategy 3 Canking

#dentifying the candidates that remain ) orderingthose that can do the Dob best

>aterial inde$3

a" The property or property group thatma$imi5es performance for a given design

b" (rovide criteria of e$cellence that allowranking of materials by their ability toperform well in the given application

c" >aterial indices are generally e$pressed so 

that a ma$imum value is sought

&onstraints setproperty limits.

7bDectives definematerial indices,for which we seek

e$treme values.

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6trategy 3 Canking

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6trategy 3 Canking

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&onventional method + employ selectionmatri$

$ample3 6haft

2ey re-&irements3

L GC& hardnessGigh impact strengthA minimum fatigue

strengthGigh stiffnessow cost

Selection candidates3

(rehard B:BL steel&ase hardened :L;L

steel

:M-B (G stainless steelTitanium A:BE

L:-T aluminum&LLL yellow brass

6trategy 3 Canking

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6trategy 3 Canking

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Candidate materials

(art structurere<uirements

0rass &LLLAluminumL:-T

TitaniumTiA:BE

6tainless steel:M-B (G

&arbon steel:L;L

(rehardenedsteel B:BL O

LGC&

L GC& minimum I :L :L P :L

L ksi endurance

limitB.B ;. :L Q. B.B :L

&harpy Eeeimpact H:I ft lb

P M :L :L :L :L

Gigh elasticmodulusR!/ factor"

:P!$"

:L!.$"

:P!$"

;M!Q$"

L!:L$"

L!:L$"

Custproof P P :L :L

>aterial costSlb

Q L.I I :L Q

Treatmentmachining costs S

:L :L :L I I I

?ill last I years :L :L :L :L :L :L

Score Q.B IQ. MP.I P. PL.B PM

<10 i# %e#t

6trategy 3 Canking

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4ocumentationCanking6creeningTranslating

?hy @

  =el!# narr the #hrt6li#t t a (inal chice  4iffers greatly from the structured property data  )e#cri!ti$e / gra!hical / !ictrial > ca#e #tu"ie# ( !re$iu#

u#e# ( the material, "etail# ( it# crr#in %eha$iur in

!articular en$irnment#, in(rmatin ( a$aila%ilit&/!ricing,e!erience ( it# en$irnmental im!act#.

  6ource3 handbooks, suppliers2 data sheets, &4-based datasources, www.

6trategy B3 4ocumentation

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6trategy B3 4ocumentation

The selection strategy3 &ars

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Requirements

expressed as 

Constraints and

Objectives

Data:

Perormance

!conom"

What car?  ratin#

Final selection

Comparison en#ine

  $creenin#

  Ran%in#

  Documentation

Ma%e and Model

Dimensions

&umber o doors

Fuel t"pe

Po'er Fuel consumption

CO( ratin# ))

Mid si*e amil" saloon

+ doors

(,, - horse po'er 

Least cost of ownership

Deliver" time

$ervice requenc"

&earest dealer 

Warrant"

The selection strategy3 &ars

The selection strategy3 >aterials

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Desi#n requirements:

expressed as 

Constraints and

Objectives

Data:

Material attributes

Process attributes

Documentation

Final selection

Comparison en#ine   $creenin#   Ran%in#

  Documentation

Densit"

Price

Modulus

$tren#th

Durabilit"Process compatibilit"

More)).

Able to be molded

Water and /0 resistant

$ti enou#h

$tron# enou#h

 As light as possible

 As cheap as possible

The selection strategy3 >aterials

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Understanding &heck

?hy do we need to do screening ) ranking@

?hat is the difference between screening ) ranking@

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The 0asics of >aterial 6election

ist three things that you are very clear of.

ist three things that you feel ha5y about.

ist three things that you need further clarification.

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Tutorial:Translation: constraints an)

o.ecti3es:. A material is re<uired for the windings of an electric

air-furnace capable of temperatures up to :LLLo&.Think out what attributes a material must have if it isto be made into windings and function properly in afurnace. ist the function and the constraints% set theobDective to “minimi5e cost* and the free variables to“choice of material*.

;.A material is re<uired for a heat e$changer to e$tractheat from geo-thermally heated, saline, water at:;Lo& !and thus under pressure". ist function andconstraints% set the obDective to “minimi5e cost* andthe free variables to “choice of material*.

Ans0er:

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 Ans0er:Translation: constraints an)

o.ecti3es

Ans0er

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 Ans0er:Translation: constraints an)

o.ecti3es

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4o we achieve our obDective for today2s lesson@

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Why are all these steps necessary?

Without screening and ranking- the candidate-poo is

enor!ous and the "ou!e o# docu!entation

o"er$he!ing%

Screening-ranking steps ha"e identi&ed a s!anu!'er o# potentia candidates( So that detaied

docu!entation can 'e sought #or these #e$ aone(

!aking the task "ia'e%

 )ocu!entation heps narro$ the short-ist to a &na

choice( ao$ing a de&niti"e !atch to 'e !ade

'et$een design re*uire!ents and !ateria

attri'utes%

S$MM!R&