f" William W. Follett MDO Project Lead Raj Rajagopal RDCS Project Lead ::_. Rocketdyne Propulsion and Power _i:i _ Boeing- Canoga Park _i"i! : . Presented at: mW_._?_"_-_ _ Air Force Research Lab (AFRL) Electronic Prototyping Review _!{_,._ Boeing - SeattJe _4i_:_! : July2s2oo_ AGENDA • Vision • Approach ji.i!;_i • Optimization and Robust Design ',i • Knowledge Based Systems _- • Collaborative Technologies _) • Examples __ :.,- S.gmmary i ',_ _ ,_,._, . - -'J ,_C C _: _I_!_ - _ :::" f 'Real time" analysis enable rap_ RPPengineers work fluently with design, multidisciplinary anaiysis collaborators across the globe, providing complete mission predictions & thebest so_Jtions bycombining manufacturing worldwide resources simulations Automated Reasoning Expert systems capture design knowledge. Automated data analysis, optimization, androbust design : generate new knowledge. t( SseMmDsOanCapurean Expand Design Knowledge Approach _i!ntegrate design technologies into state of the art design systems B_: -- Reduce time & cost required to create new products _! Capture engineering expertise ,_2 Provide users with design environments customized to their problem _l_p_._¢_n t__ hhology thrusts: •-tii'fiization ar_l Robust Design OllaDoratlve_ iecnnologles __r,'__:_;/_'-._:_'_ ..., ': -;,.. Technology Thrust: Robust Design Challenge: Reduce De_,elopment Coxt Traditional Design Process Robust Design Process Cost Eliminate Failure Modes Engineering Supporl Design Certification Time Time Test-Fail-Fix Cycle Representing 73% of Cost REDUCE BY FACTOR OF 4 RDCS Features - ..... Robust Design Computation System i: <_': .... o,[kflow aids robust design F..ile.....S._.'.s.l_.fi.l....M...o.n.ilo.r............. Help _ables fromdatabases I lilJ_=_-__il_0delsincluda Vadablesl Math[ i_dai'dized andautomated ------ Model! Des-. ii_.I_sls processes _-- Process illgW_ " -_:-_'---_.... , Compute im_m_'_ , ._;'_-,_,x., : Results t _U)[OCesses _SVallaDle _ /.u_J_#meg__omputlng RDCS Probabilistic Analysis - Results Plot Tvr,e t_)p_m:,:ot X_is kabe! I1 Technology Thrust: Optimization Implement Optimization Tools to Support Increased Design Complexit), Technology Thrust: Optimization hnplement Optimization Tools to Support Increased Design Complexi_ Technology Thrust: Knowledge Based Systems • Future role of analysts/designers can become that of i:i:i: owner/developer of expert shells or 'knowledge stations' ., • The expert shells interact with each other '. semi-autonomously IntHelylipgeernstonic DesiPgrnopulsAiodnvisor ExCpaerpttiuseres :__ ",'__;iL-,T----,_"r................. IDA System Architecture -- Engine Analysis Module IDA System Architecture / ' Inner Driver Technology Thrust: C.llab.rative Technologies Collaborative optimization algorithms • Enable MDO among geographically dispersed teams • Address MDO problems of unprecedented size and corpJexrty _,_;_X,• Internet-Based Parallel Processing Tools _. t ° Enable controlled access among design team members to __;._ :. geograp.hically dispersed computational resources ___'},-"_ _:'_:_t,_.:J._•E_a',.-c,dit.a>tLe,,.';; effe.,ct .v.e use of ava lable computat ona resources for ii_a_un_l_e.g., parallel process,ng) l_V, irt0al collocation of personnel .:[[;: '_r_:_:- _:_;_"! _-_ ,.>_: : i:_;:_;'L5_/ ": : - " , BO'_/_O _liul ..... =.lrl....... , ............. AGENDA _<--. • Vision : ° Approach _:- ° Optimization and Robust Design l_i{ ° Expert Systems Collaborative . Technologies _.t._ ?d_ *" " "- ' ,B'OEI.,_ Potential to Reduce RLV Vehicle Weight Demonstrated through Multidisciplinary Optimization" (MDO) IBaseline-OptimizedSingleDisciplineWeight 0.00I MDO J leductionachievedbyMDO ,. °Ref AIAA 97-3374, NASA TM 110326 10 15 CASINO Reduces Cost and Complexity of Aerospike Design by an Order of Magnitude + + Captured Design & Parallel Computing ;I31[ & Automation Analysis Knowledge & Optimization • For 2000: _'_" • $5M added engineeering value | • 4000% return on investment in first _ear • 61% improvement in predicted payload-to-ISS Multidisciplinary Optimization is Now a Design Tool Triprope/lant Nozzle 3-O Supersonic Stator Vane •Maximize thrust and minimize hotspots load reduction, •Match target pressure profiles •90% improvement achieved Jetpump Integrated Development Multidisciplinary Linked Analysis & Design Hydrodynamics analysis blade and environment definition Mechanical design (Pro-E) Pressure application Stress results Model (ANSYS) Impeller C_clc Time Reduced -6 Months to 1V<eek