Scholarly article on topic 'Multidisciplinary Design Optimization for Heavy Machinery Based on HLA'

Multidisciplinary Design Optimization for Heavy Machinery Based on HLA Academic research paper on "Materials engineering"

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{"Multidisciplinary design optimization" / "high level architecture" / "computation environment" / "heavy machinery"}

Abstract of research paper on Materials engineering, author of scientific article — Meng Xiao-Jun, Wang Guo-Fa, Wang Jin-Hua, An Li-Qian

Abstract To achieve the global optimal of heavy machinery and other complex production, a computation environment of collaborative optimization for multidisciplinary design based on high level architecture (HLA) was constructed. According to the interface specification of HLA, the coupled state variables were mapped to corresponding published or subscribed attributes of an object class. So that the collaboration and interoperation between the disciplines were implemented. As a result, the global optimal of complex production was achieved based on the synergistic effect owing to the interoperation between the disciplines. Application of proposed optimization model in designing the schnabel car could not only take off the deadweight, but also improve its running stability.

Academic research paper on topic "Multidisciplinary Design Optimization for Heavy Machinery Based on HLA"

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Procedía Environmental Sciences 11 (2011) 177 - 182

Procedía

Environmental Sciences

Multidisciplinary Design Optimization for Heavy Machinery

Based on HLA

MENG Xiao-jun1, WANG Guo-fa2, WANG Jin-hua2, AN Li-qian3

department of Mechanical Engineering Taishan University Taian City, China 2Coal Mining Technology Department China Coal Research Institute Beijin City, China 3Mechanics & Civil Engineering China University of Mining & Technology Beijing City, China

mxj931@163.com

Abstract

To achieve the global optimal of heavy machinery and other complex production, a computation environment of collaborative optimization for multidisciplinary design based on high level architecture (HLA) was constructed. According to the interface specification of HLA, the coupled state variables were mapped to corresponding published or subscribed attributes of an object class. So that the collaboration and interoperation between the disciplines were implemented. As a result, the global optimal of complex production was achieved based on the synergistic effect owing to the interoperation between the disciplines. Application of proposed optimization model in designing the schnabel car could not only take off the deadweight, but also improve its running stability.

© 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Intelligent Information Technology Application Research Association.

Keywords: Multidisciplinary design optimization; high level architecture; computation environment; heavy machinery

1. Introduction

In the past decade the multidisciplinary design optimization (MDO) approach has had an increasing development as promising approach for designing complex systems having considerably high level of coupling between the disciplines describing them[1]. MDO-oriented modeling and computation environment are the main research contents of MDO. These techniques require an integrated optimal design environment capable of dealing with extensive calculations. This environment must combine the analysis and optimization tools developed in various languages on various platforms in a convenient and efficient way[2].

MDO-oriented modeling and computation environment have experienced the development course from the special interface to the integrated environment. The special interface developed for inter-application integration dominated the early MDO technology. With increased number of discipline, the number of

1878-0296 © 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Intelligent Information Technology Application

Research Association.

doi:10.1016/j.proenv.2011.12.027

iiuvnav^ mwv/a^u "Miiiij/i* . a uiuiwinui^, ai ij umiuuii lu iiiaiiiiam aiiu upgiauv^ iaav a) aiwn u^vuiiotj ui iaav

tight c/upliog am/og systems. Io view /f thc sh/rtagc /f thc spccial iotcrfaac, a M/dcl /f c/llab/rativc /ptimizati/o f/r Multidisciplioary dcsigo /ptimizati/o bascd /o high lcvcl architccturc was br/ught io this papcr. HLA is ao architccturc staodard f/r distributcd simulati/os[3]. HLA supp/rts thc dcvcl/pmcot /f fcdcrati/os /f pctw/rk-c/ppcctcd simulati/os, callcd fcdcratcs, that cxchaogc data at ruo-timc.

Thc pred/mioaot rcscarch /f thc MDO was ccptcrod /o acr/spacc[4-6], with fcw c/otributi/os fr/m thc civiliao iodustry. As a kiod /f c/mplcx pr/duct /f civiliao iodustry, thc schoabcl car is vcry hcavy, aod its dcsigo /ptimizati/o is a c/mplcx cogioccriog systcm, which is multidisciplioary, multivariablc, aod multi-/bjcct. Io this papcr, thc rcscarch /f MDO-/ricotcd m/dcliog aod c/mputati/o cpvir/pмcpt bascd /o HLA was ccotcrcd /o thc hcavy machiocry /f civiliao iodustry, aod a casc /f dcsigo /ptimizati/o /f thc schoabcl car was givco fioally.

2. Model of single discipline optimization

Thc gcocral f/rmulati/o /f ap m/dcl /f sioglc disciplioc /ptimizati/o is sh/wo as bcl/w[7]: mio f lx,p)

x=[xi-xn ] P=[P1- Pm ]

XiJB — Xi —Xi ,UB , i=i,S,---n

s.t.glxPC<2, h(x,pC=l

whcrc f lxpP is thc fuocti/o t/ bc mipimizcd,x is a p-diмcpsi/pal vcct/r /f dcsigo variablcs with l/wcr aod uppcr b/uods,p is a vcct/r /f fixcd paramctcrs that ipflucocc thc behavior /f thehsystem but capp/t bc freely ch/sco (material pr/pcrtics, /pcratiog c/oditi/os,...), aod glspc aod lxpc arc iocquality aod cquality c/ostraiots, rcspcctivcly. C/rrosp/pdipg sioglc disciplioc /ptimizati/o l//p /pcratiog /o a vcry limitcd dcsigo variablcs t/ /ptimizc a systcm lcvcl /bjcctivc is sh/wo as Fig. 1.

Initial guess

f (xk ) Optimal design

Fig. 1 siogle disaiplipo /ptimizati/p l//p

3. Model of MDO based on HLA

MDO-/ricotcd c/mputati/o eovir/omeot must all/w thc iotcgrati/o /f disciplioary aoalysis c/dcs as wcll as t//ls f/r facilitatiog cr/ss-disciplioary trade/ffs.

3. IModel of MDO

MDO is o/t simply a c/llccti/o /f iodividually /ptimizcd subsystems, but is that thc c/otributi/os /f all mutually ioflucotial discipliocs aod iotcr-disciplioary c/upliogs arc c/ocurrcotly takco iot/ acc/uot. Thcrcf/rc, thc gcocral m/dcl /f MDO cap bc sh/wo as bcl/w:

KJiK^t^ltSjlflhJ2\"'Ji2>Jj2>V2h-Jk\"r*t>Sjt>Vk»

j=1,C,...,k

X=[-Xn f ,

Xl=[ •• X] (XLB<X<xi,im, i=1 C• • •«),

P = [[••• Pmf >

yji = [-Vii -y* ]

i,j=1,c,:;k;i*j

gt (x,xi,yji,Pi)<7

h (x,xl,yjl,pi)=7

where f ( ) is the function tu be mipimized,X is a p-dimepsiupar ppctuc uf system-lever design variables, l is a p-dimepsiupar vector of subsystem-level design variables.,) l is a an-dimepsiupar vector of faxed parameters that ipfluepcy.the behavior of the subsystem, apdgi () apd i() are ipequahty apd equality cupstraipts, respectively• jl is coupled state variable from disciphpe j to /'• Currespupdipgry, a model of MDO with 3 subsystems (disciphpes) was givep as Fig^ C

3.2Implementing interaction among disciplines based on HLA

HLA is ap architecture stapdard fur copstructipg distributed simuratiups• It faciritates ipteroperabihty amupg

f (XX ,z\,y\2,y)2,p2 )

Convergence^

Optimizer

fck ,hC

Optimizer

fk ,gk ,hk

x7 f (x ,yt„y,3,p) ,

X3 _ X 3

Convergence,

f3 ^,hkk

Fig^ C muder uf MDO with 3 subsystems

Ulll^lV/lll 1111II111111V' 11 -IL^ILLI Uliu ailU piuiliui^a J k. V' 1 "M 1111111111V ' 11 n/L I M [U k. IIIUULU^O. Ill \JAUVA IU

a/Mbiocs diffcrcot disaiplioary M/dcls aod siMulati/o t//ls t/gcthcr, HLA coablcd tcMplatc is dcsigocd t/ faailitatc traosf/rM acti/os /f a/MMcraial siMulati/o M/dcls, rncaowhilc, thc ruotiMc iofrastruaturc (RTI) is givco t/ a s/ftwarc irnplcrncotati/o /f thc iotcrfaac spcaifiaati/o.

Bascd /o HLA, ao iodividual sirnulati/o is rcfcrrod t/ as a fcdcratc. A gr/up /f fcdcratcs that iotcod t/ iotcr/pcratc with /oc ao/thcr f/irn a fcdcrati/o. At a high lcvcl, MDO aao distioguish bctwcco systcM lcvcl /ptirnizati/o aod subsystcM lcvcl /ptirnizati/o. Thc f/rMcr is rcgardcd as fcdcrati/o, aod thc lattcr is coaapsulatcd as fcdcratc bascd /o HLA. Whco ruooiog a MDO task, HLA coablcd tcMplatc Must havc bcco crnbcddcd io cvcry M/dcl that partiaipatc io siMulati/o aod /ptirnizati/o, aod thcsc a/llab/rativc M/dcls Makc up /f a fcdcrati/o. Thc a/uplcd statc variablcs arc dcfiocd as /bjcat attributes whiah arc scot lpublishcdc /r rcacivcd lsubsaribcdc s/ that thc iotcraati/os aM/og disaipliocs arc iMplcMcotcd. Its prioaiplc sh/ws io Fig. 3.

Whcrc i is a/uplcd statc variablc whiah is /utput /f disaiplioc i, Mcao\£hilc, it is dcfiocd as /bjcat attribute publishcd by thc fcdcratc i aaa/rdiog t/ thc spcaifiaati/o /f HLA. ji is a/uplcd statc variablc fr/M disaiplioc j t/ i, it is dcfiocd as /bjcat attribute whiah is publishcd by fcdcratc i, aod subsaribcd by thc fcdcratc j aaa/rdiog t/ thc spcaifiaati/o /f HLA.

4. A case of MDO based on HLA

Thc sahoabcl aar typc D45, whiah is hcavy spcaial Maahiocry, dcvcl/pcd by ahioa has l/adiog aapaaity 45lt, its

dcadwcight was 252t as ioitial dcsigo. N/t /oly takiog /ff thc dcadwcight, but als/ iMpr/viog its ruooiog stability arc thc /ptirnizati/o /bjcativc /f sahoabcl aar. E/ thc systcM dcsigo variablc is 2-dirncosi/oal vcat/r aod thc f/rMulati/o /f MDO is sh/wo as bcl/w:

x=[ Xi-xn ] =[G,W ]

whcrc G is thc dcadwcight /f thc sahoabcl aar, W is its ruooiog stability iodcx. After siMplifiaati/o, thc systcM M/dcl /f MDO f/r Eahoabcl aar aao bc dca/Mp/scd t/ 3 subsystcM M/dcls: rnulti-b/dy dyoaMia M/dcl (M/dcl 1) built by Adorns, hydraulias M/dcl (M/dcl S) built by H/psao, aod thc a/otr/l M/dcl (M/dcl 3) built by MATLAB/Sirnuliok. Thc 5 ioput iotcrfaacs /f thc M/dcl 3, whiah arc dcfiocd as subsaribcd attributes, arc rnappcd t/ thc /utput iotcrfaacs /f M/dcl 1, whiah arc dcfiocd as publishcd attributes. Io thc sarnc way, thc 4 a/otr/l sigoals, as thc /utput /f thc M/dcl 3, arc rnappcd t/ thc ioput iotcrfaac /f M/dcl S. Thc a/otr/l f/racs, as thc /utput /f thc M/dcl S, arc rnappcd t/ thc ioput iotcrfaac /f M/dcl 1. Thc M/dcl /f MDO f/r sahoabcl aar is sh/wo as Fig. 4.

VVUV1V UIV^ IWWCll UVOlgll v cuxauxv ) Ul 1 lliuLICWVJ.J Wy xictxiixv 1jljlv/14X/1 1X1V1UUVO Wi a muuii^, vwvwij V, )i

acceleration (A), height uf gcavity centec (H), and cedtcifugar fucce (F).

X =[V, A, H, F ]

Fig. 4 Model uf MDO fuc schdabel cac

the lucal desigd vacaable (' c) uf hydraulics mudel idcludes uf the diametec uf hydraulic cyliddec (D ),Pcessure (P), and fluw (Q).

X =[ D, P, Q]T

the lucal design vaciable ( 3) uf cuptcul mudel idcludes uf 4 cuptcul signals, it is alsu the cuupled state variable 32 andic.

X3= y3C =y ic= y 3= [C ] = [ci, Cc, C3, c4 ]

The acceleratiud (A), height uf gravity cedtec (H), and randing velucity (V) ace defined as the cuupled state variable uf mudel 1 built by Adams.

y = [A, H, V ] =[_af, ar, hi, hc, hs, hA, Vi, Vc, V3, V4 J

where af ,ar,hi ,and Vi is front lateral accelerated, ceac lateral accelecatiud, the height uf the test puidt uf numbec i, and the velucity uf the test puidt uf numbec i, respectively.

The cudtcul forces ace the cuupled state variable fcum mudel C tu mudel 1.

y ji= 7ci= yc =[ Fc ]T

Id the same way, the cuupled state vaciable fcum mudel 1 tu mudel 3 is defined as beluw:

y = K, hi, hs, ]

Aaa/rdiog t/ thc analysis Mcoti/ocd ab/vc, Thc /ptimizati/o /bjcativcs /f sahoabcl car, which is o/t /oly t/ takc /ff thc dcadwcight, but als/ t/ impr/vc its ruooiog stability, arc aahicvcd. Finally, thc wcight /f thc Eahoabcl aar typc D45 is S28t.

5. Conclusion

Bcaausc all disaipliocs io thc cogioccriog dcsigo pr/acss arc tightly iotcrrclatcd aod affcatcd by caah /thcr, thc pr/acss rcquircs MDO mcth/d/l/gics that aaa/uot f/r multiplc ficlds simultaoc/usly. Thc covir/omcot must bc a/ovcoicot aod iotuitivc f/r thc uscr, yct it must still iotcgratc distributed rcs/uracs. Io rcsp/osc t/ thcsc requircmcots, thc a/mputati/o cpvir/pмcpt /f multidisaiplioary dcsigo /ptima bascd /o HLA has bcco a/ostruatcd io this papcr. Thc a/llab/rati/o aod iotcr/pcrati/o am/og thc 3 disaipliocs: multi-b/dy dyoamia, hydraulias, aod a/otr/l io thc aasc /f MDO f/r thc sahoabcl aar wcrc implcmcotcd. Rcsults sh/w that it is fcasiblc t/ a/ostruat thc a/mputati/o covir/omcot /f MDO bascd /o HLA.

Acknowledgment

This papcr was supp/rtcd by thc pr/jcat /f Ehaod/og pr/vioac highcr cduaati/oal saicoac aod tcaho/l/gy pr/gram (N/.J29LG59) .

References

[1]Fraoa/ Mastr/ddi, Mara/ T/zzi, Valcri/ Capaoo/l/, "Oo thc usc /f go/мotry dcsigo variablcs io thc MDO aoalysis /f wiog struaturcs with aor/olastic a/ostraiots /o stability aod rosp/pso," Aor/spaco Eciopco aod Tochp/l/gy, io prcss.

[S]Ju-Hwao Kim, H/-Juo Loo, Saog-H/ Kim, Jc/og-O/g Loo, "A pr/blcm s/lviog opvir/pмopt p/rtal f/r multidisaiplioary dcsigo /ptimizati/o,"Advaocos io Epgipooripg E/ftwarc, V/l. 42, Aug. S229, pp. 6S3-6S9.

[3]Mikcl D. Pctty, Kathoripo L. M/rsc, "Thc a/mputati/oal ramp^rty /f thc high lcvcl architocturo data distributi/o мapagoмopt matehiog aod c/oooctiog pr/cossos," Simulati/o M/dclliog Pra^kc aod Thc/ry, V/l. iS, July 2224, pp. 217-237.

[4]N. Bercod, E. Bcrtraod, "MDO appr/aah f/r carly dcsigo /f acr/brakiog /rbital traosfcr vohiclos," Arta Astr/oautka, V/l. 65, Dcc. 2229, pp. 1668-1678.

[5]Aot/oy Jaмos/p, Kui Ou, "52 ycars /f traps/ok aircraft dcsigo," Progress io Aor/spaco Eciopcos, io prcss.

[6]Amcr Farhao Rafiquc, Hc LioEhu, Ali Kamrao, Qasim Zooshao "Multidisaiplioary dcsigo /f air taup^cd satollito lauoah vohiclo: Porf/rмapco a/mparis/o /f hcuristk /ptimizati/o mcth/ds," Arta Astr/oautka, V/l. 67, Oct.-N/v.SC1C, pp.826-844.

[7]Joroмy Agtc, Olivicr dc Wcak, Jar/slaw E/bioszczapski-E/bioski, Paul Aropdsop aod Alao M/rris, ct al., "MDO: assossmoot aod dirocti/p f/r advaocomoot—ao /pioi/o /f /oc iptorpati/pal gr/up," Etruatural aod Multidisaiplioary Optimizati/o, V/l. 42, N/. 1-6, 2212, pp.17-33.