SOLIDWORKS OPTIMIZATION

7/30/2019 SOLIDWORKS OPTIMIZATION

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SolidWorks Optimization

SUMMARY

Optmzaton the cacuaton o eght, te, cot, eecton, natu

equence, an tempeatue acto, hch ae epenent on vaab

uch a menon, oa an etant, matea, an manuactun

equement. The chaenge that e eom no thee nput at

the eay tage o the egn poce.

Th pape eve ome ey concept n optmzaton, too no avaabe o FEA-ven optmzaton, an then ocue on ho egn

engnee can get the mot out o optmzaton n the ay-to-ay o

w h i t e p A p

npato


2/9s O l i d w O r k s O P T i M i Z AT i O N

degn optmzaton can nceae

the vaue o a pouct by mpovng

t peomance thn t opeatng

envonment.

inroducon o omzaon

Ove the pat ecae, egn engnee have eane to ue an tut uch

compute-ae engneeng (CAE) too a fnte eement anay (FEA),

computatona u ynamc (CFd), an moton muaton a mpotant a

to poucng bette egn ate. They no that uch too hep them e

pat, aembe, an pouct that thtan the toughet evce eybea them.

Hoeve, pouct egne to meet ot cae cenao may not be the

bet egn o the ea e envonment. To meet aety an tength

equement, they may be oveengneee an too heavy o the pupoe,

o excevey fcut an coty to manuactue. degn engnee ho an

to get coe to egnng the bet an mot poftabe pouct o the un

ton nee to tae the next CAE tep n pouct eveopmentoptmzaton.

Omzaon for dsgn ngnrs

degn optmzaton can nceae the vaue o a pouct by mpovng t pemance thn t opeatng envonment, an by eucng the cot o pouc

t by eucng the amount o matea ue to mae t.

The egn engnee , by efnton, on the oeont o pouct eveopmen

Toay, uch an engnee aeay ama th egn anayan that

mean he o he aeay ha at han the bac noege eque o pe-

omng optmzaton, an ony nee optmzaton too to tae the next tep

By empoyng optmzaton, the egn engnee nceae h noege

o h pouct behavo an mpove upon the egn, he aheng to the

ata obtane om pevouy compete anaye.

Figure 1:

Open end Wrench FOr OptimizatiOn

Buldng blocks of omzaon

The poce o optmzaton ha thee majo component:

Objectve

Contant

Vaabe

At t mpet, the optmze egn hou ethe maxmze o mnmze the

objectve by changng the vaabe he eepng ctca epone thn

efne contant.


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Objective

The objectve the pupoe o hch optmzaton beng peome. Fo

exampe, a company eeach ho that t gan a compettve avan-

tage by poucng the ghtet o eat expenve pouct, then mnmzng

eght o cot become the objectve o the optmzaton. such a cae ca

nge objectve optmzaton.

Engnee equenty have to ea th mutobjectve optmzaton. Thee, ho

eve, can ca o geate eouce than may be avaabe on a ay ba. i

egn engnee can efne h pobem efnton to a nge objectveo on

objectve at a tmethe optmzaton poce become eae.

in the majoty o cae, engnee ho o th tuctua epone have

eght mnmzaton a an objectve. in u o appcaton, the mot comm

objectve ae mnmzng peue op an tubuent enegy, o maxmzng

veocty.

Constraints

Contant bng eaty nto optmzaton. The cantevee beam exampe

hon n Fgue 2 a cae n pont. i the optmzaton pobem ee et up

an uncontane eght mnmzaton tuy, the optmzaton pogam ou

mmeatey chooe the mnmum matea conton aoe by the meno

vaabe. in the ea o, hoeve, mot pat have uch othe opeatona

equement a tength o tne. Thu t mpotant o the engnee to

chooe contant that efne the acceptabe behavo o the pat thn t

ytem. The contant he chooe ae typcay thoe aoabe n a nge

tatc, equency, o thema anay.

Figure 2:

minimum Weight beam may deFlect excessively.

Design variables

in an optmzaton tuy, the engnee nee to be abe to change the egn

paamete he hope to fn the bet o evea pobe egn confgua-

ton. Thoe paamete ae the egn vaabe. They may be menon, o

the numbe o ntance n a patten, o matea popete, o oa, png

tneo any othe apect o a egn that may have a etectabe bet

vaue o coneaton.

Vaabe can be contnuoumeanng that the vaabe can have any vaue

beteen a pecfe mnmum an maxmum. Mot menona vaabe a

nto the contnuou categoy.

s O l i d w O r k s O P T i M i Z AT i O N

i the egn engnee can efne

h pobem efnton to a nge

objectveo one objectve at a

tmethe optmzaton poce

become eae.


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They can ao be cetemeanng that the vaabe ha a efne et o

pobe vaue. The mpet om o cete vaabe an on-o o ye-no

vaabe. Fo exampe, the peence o ac o a e o atene ft nto the

cete vaabe categoy. Othe exampe ncue the ntance o a patten

O, o ntance, a puey o hee may have any hoe numbe o poe

but not 3.2 o 4.7.

sheet-meta gage pove an exampe o a vaabe that may a nto ethe

categoy. Geneay, the gage thcne ha peefne vaue, but t a com

mon pactce to pecy thcne a a contnuou vaabe an then oun u

o on to the neaet gage thcne.

The eecton o vaabe a vey mpotant tep n ettng up an optm

ton tuy. i the engnee eect too many vaabe, o too e, the ee

tvene o the anay can be hampee. Too many vaabe, o too ag

a ange o them, may mae t fcut o the pogam to etemne the

mot appopate confguaton o the egnepecay hen conen

eatve mnma an maxma. On the othe han, the egne pove t

e vaabe, o too nao a ange o them, the ucce o the tuy m

be unneceay mte.

The mot eabe metho o eectng vaabe popey e n peomng

nta entvty tue on the vaou pobtea poce that be

cue n the next ecton.

tools for roduc omzaon

FEA-ven optmzaton epeent a gong eeach fe n engneeng.

Athough many pogam an technque ae avaabe o peomng t, ta

tue, entvty tue, an hape optmzaton ae the mot commony utoay. The to mot equenty ue metho o hape optmzaton ae ga

ent each an egn o expement (doE). The atte bae on epone

uace cacuaton, an eut n obut outonthat , eectve n the

boaet ange o pobe evce conton ove the e o the pouct.

Trade studies

Tae tue ae teatve expoaton o atenatve egn confguaton. F

exampe, the egn engnee can a a b o emove one to ean the eut

ng mpact on peomance.

Tae tue can be hghy vauabe o at evauaton o mutpe opton, toetemne hch, any, o the pobe change to a pat mght have the mo

mpact. Becaue the numbe o combnaton o eatue can be unmte, t

mpotant to eco the teaton an the coeponng epone to avo

upcaton o o. Ue o sowo have an exceent too o managn

tae tuy teaton n the Confguaton utty.

Once the pobe change have been quafe, an ome hon a othy

moe tuy, the egne can empoy a entvty tuy to nvetgate the va

abty o the eevant menon o egn eatue.

i the engnee eect too many

vaabe, o too e, the eectvene

o the anay can be hampee.



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Omzaon Soldworks

sowo smuaton ue a doE-bae optmzaton metho. To un apobem, the engnee pove the maxmum an mnmum vaue o h

menona egn vaabe, an then chooe a stana o Hgh Quaty

optmzaton. The stana appoach o on the aumpton that the objec

tve epone cuve beteen the mt vaue nea, an cacuate ony the

epone at thee vaue. The Hgh Quaty optmzaton tae nto account t

pobty o a econ oe epone beteen the mt, an evauate a m

e vaue a e a the exteme. Fgue 7 ho automatc egn teaton

peome o an automotve upenon a the ze o thee fet vae.

th cae, egn contant not to excee the ye tength o the matea

une tatc oang.

The sowo smuaton optmzaton tuy pouce a nge vaue ep-

eentng an optma confguaton o each vaabe. To get the geatet

egee o accuacy th th metho, the engnee hou efne the ange

vaue o each vaabe an un a econ optmzaton o a entvty tuy

By ong o, the optmzaton pogam gve hm at an eectve ng

nto mpovng h pouct an eachng an optma egn.

sentvty tue can pont the

engnee to the mot gncant

paamete a e a the ange

o vaue havng the mot mpact

on the objectve.


FiGUrE 5:

A rOBUsT OPTiMiZATiON

AlGOriTHM CAN dETErMiNE

OPTiMAl dEsiGN dirECTiON.

FiGUrE 6:

sENsiTiViTY PlOT wiTH MUlTiPlE

MiNiMA

FiGUrE 7:

OPTiMiZATiON OF sPiNdlE sHAPE

wiTH VAriABlE FillET rAdiUsEs


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t bs m for omzaon runs

The engnee ho unetae optmzaton get the bet vaue out o the

technoogy by peomng optmzaton n the eay tage o the egn po

ce. A a egn pogee, t ten to become moe an moe compex,

an change become moe fcut to evauate an mpement.

At the conceptua tage o a egn, the engnee can ue optmzaton to ma

ue the bae egn ha the ght matea, a thcne, tenng eatu

atenng metho, an the e. stue have hon that 80 pecent o a

pouct cot efne n the ft 20 pecent o the egn poce. To ma

ue a compettve pouct peom a ee, t othhe to expoe op

ma confguaton at the eaet tage o pouct eveopment.

depte the mpotance o peomng optmzaton eay n the egn cyce,

t ha a pace ate n the egn poce a e, hee the engnee can ue

t to hep fx pobem o mpove nvua eatue.

t CAD and analyss conncon for omzaon

Eveythng cue above ee to FEA-ven optmzatonan vey ote

FEA epenent upon the CAd pogam n hch the egn ha been ce-

ate. The CAd ytem vey mpotant to optmzaton a e, becaue the

metho o ceatng moe, menonng cheme, an embee eaton-

hp aect the egne abty to expoe egn atenatve.

A the engnee ceate h moe, he hou cone menonng that

ao eatue that have pevouy benefte om optmzaton to be mof

thout caung any moe ebu eo.

Fo optmzaton, pannng ctca. A egne may cove beneft n ce-atng a CAd moe to be ue excuvey o optmzaton, an then ue the

nomaton gathee om the poce to compete a CAd moe o etan

an poucton. The compexty o the pat an o the tuctue hou gue

hm n choong the eatue to tuy.

Gng mos ou of omzaon

Engnee pannng to ue optmzaton a a too o mpovng egn an

pouct nee to cea the mn o any peconceve ea o hat cont-

tute optma. Much moe can be eve by ettng the optmzaton pogam

pove nght, an then by unetanng the vaou mpcaton o the a

The open-mne egne may fn that the optmzaton too oe evea

pobe outon to the pobem, outon that nee to be conee n g

o manuactung nee an efcence to obtan the bet an mot poftab

pouct at the en o the ay.

The engnee ho unetae

optmzaton get the bet vaue

out o the technoogy by peomng

optmzaton n the eay tage o

the egn poce.



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Figure 8:

rObOtic arm FOr nasas mars explOratiOn rOver (mer) missiOn

Succss omzaon

Alliance Space Systems

Aance space sytem, inc. (Asi), Paaena, Caona, egn an manua

tue mechanca ytem, obotc, tuctue, an mechanm o paceca

an centfc ntument. Mot notaby, Asi ceate the obot am ue on

the hghy ucceu spiritan Opportunity ove eveope by NAsA o t

Ma Expoaton rove (MEr) mon.

Asi ue ntegate sowo smuaton otae to tet an optmze the

egn o pat an aembe. we ee eachng o evey gam o egh

evey mmete o pace, ay Bett lnene, ecto o engneeng at A

Becaue ou anayt ha ue sowo smuaton o te an them

anay, they ee abe to bactop ou egne an coaboate efcenty

optmze the egn. The team a abe to euce the ma o the obotc a

by 20 pecent, the automotve equvaent o the pace neee o a ca engan tanmon, he eepng eo to e than one pecent. we ee a

but t pouce a hghe quaty, moe nnovatve egn.

Kadant Johnson

kaant Johnon (omey The Johnon Copoaton), Thee rve, Mchgan

egn an manuactue avance poce conto ytem, otay jont,

yphon an heatng ytem, an eate component o u an heat tan

e equpment ue n poce nute. Aan ive, ecto o pouct eve

opment, an h team ee chaenge to optmze the egn o a otay jon

an yphon aemby ue n the ye ecton o hgh-pee papemangmachne. refnng an aeay o egn ung han cacuaton an ext

FEA otae ou have been too tme-conumng to unetae. The team

neee a ne engneeng outon to ave tme an gan geate etun on t

egn nvetment.


Engnee pannng to ue optmza-

ton a a too o mpovng egn

an pouct nee to cea the

mn o any peconceve ea

o hat conttute optma.


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Figure 9:

syphOn assemblies Were Optimized at the JOhnsOn cOrpOratiOn.

The company ue sowo smuaton to anayze an optmze each o th

component pat, an tace moe concept n a eaonabe amount o tme

an th ee egn teaton. The eut a a tonge, moe uabe, anghte aemby eveope n a acton o the noma eveopment tme. w

oun sowo smuaton to be a vey obut pacage. it hepe u ache

a o ou egn objectve, on cheue, ive eate. They acheve a 40 pe

cent to 50 pecent eght eucton on each o thee poject an ee abe

coeate the pecte epone to phyca tetng. That eucton a e

eut o ung sowo to optmze the egn, he a.

Concluson

degn optmzaton can nceae the vaue o a pouct by mpovng t pe

omance thn t opeatng envonment, an by eucng the cot o po

ucng t by eucng the amount o matea ue to mae t. By empoyng

optmzaton, the egn engnee nceae h noege o h pouc

behavo an mpove upon the egn.

w w w . s o l i d w o r k s . c

soWo of soWo cooo. a o o o o of ow. 2008 d s. a mkOptWpeng0608

soWo cooo300 b acoo, ma 01742 usapo: 1 800 693 9000O us: +1 978 371 5011e: [email protected]

SOLIDWORKS OPTIMIZATION

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