1. System Analysis towards System Optimization & Multi-disciplinary Design Optimization K Sudhakar Amitay Isaacs SK Sane J Jayaraman PM Mujumdar ARDB Centre for Systems Design & Engineering Department of Aerospace Engineering Indian Institute of Technology Bombay October 13, 2003

2. Multi Disciplinary Analysis (MDA) towards System Optimization & Multi-disciplinary Design Optimization K Sudhakar Amitay Isaacs SK Sane J Jayaraman PM Mujumdar ARDB Centre for Systems Design & Engineering Department of Aerospace Engineering Indian Institute of Technology Bombay October 13, 2003

3. CASDE - Activities MTech in Systems Design & Engineering Courses of study: –System Modeling & Simulation $ –Optimization for Engineering Design $ –Multi-disciplinary Design Optimization # (MDO) –Applied Mechatronics $ (hands on course) –Statistical Methods for Analysis & Design –Systems Engineering Principles $ $ Also available as short courses # Coordinates a Special Interest Group on MDO (SIG-MDO)

4. Systems Engineering Process System represents system under design & development Super-system represents operational scenario for the systems under design & development. Requirements to lower level Context Solution from lower level Super System Sub System

5. Systems Engineering Process Requirements to lower level Context Solution from lower level Super System Sub System System represents system under design & development Super-system represents operational scenario for the systems under design & development.

6. Systems Engineering Process Requirements to lower level Context Solution from lower level Super System Sub System Level-3 Analysis Level-2 Analysis Level-1 Analysis Level – 1 : Good understanding of system; knowledge base, heuristic; Computationally less expensive; Usually not available for new systems. Level – 3 : Physics based modeling; computationally intensive, applicable to new systems (V&V?)

7. Systems Engineering Process Requirements to lower level Context Solution from lower level Super System Sub System Level-3 Analysis Level-2 Analysis Level-1 Analysis Focus of CASDE

8. CASDE Activities Research activity –High fidelity models in design loop ( CFD,..) –Multi-Disciplinary Analysis (MDA) leading to Multi-disciplinary Design Optimization (MDO) Level-3 Analysis Level-2 Analysis Level-1 Analysis MDO Studies –Hypersonic Vehicle (DRDL) –Combat Aircraft (ADA) –Launch Vehicle (VSSC)

9. System Optimization / Design Design Problem Statement –Not always readily available –Not easy to reconstruct –Need for capturing problem as we go along Optimization: –System parameterization, x –Objectives; Optimize : f 1 (x), f 2 (x),.... –Constraints; Equality : h 1 (x), h 2 (x),.... = 0 Inequality : g 1 (x), g 2 (x),....  0 Multi Disciplinary Analysis  f 1 (x),., h 1 (x),., g 1 (x),.

10. System Optimization / Design Multi Disciplinary Analysis Capability Strengths exist in disciplinary analysis Focus on Analysis for Design Capture knowledge with traceability Focus on verification / validation

11. System Optimisation / Design Need for a group to Capture design problems Define needs for Analysis for Design Extract / Establish traceability Perform Verification / Validation Explore design methodologies SIG-MDO is doing this informally # MSO-DMES gives hopes of formalizing this #

12. System Optimisation / Design (Contd.) IT Enabled Design Environment –Stress on digital models –Need for distributed environment –Support to system designer for abstracting –Enabling disciplinary authority / control –MDO Frameworks! Optimization Technology –Goes beyond theory –Goes beyond S/W packages –Guided search to improve than hunt for optima

13. System Level Analysis InputsOutputs Analysis

14. System Level Analysis Parameters Performance -ilities Operational aspects Acq Cost, LCC, Etc. Analysis

15. System Level Analysis Parameters-ilities Performance Operational aspects Acq Cost, LCC, Etc. Perf Model -ilities Model Cost etc. Model

16. System Level Analysis Parameters -ilities Performance Perf Model -ilities Model Operational Aspects, Cost, Etc. Cost etc. Model Additionalparameters Additionalparameters

17. Design Problem Design an Air-Breathing Hypersonic Vehicle Cruise : M=6.5 at H = 30-35 km Constraints –Dimensional constraints on overall length, height and width –Take-off gross weight –Intake entry conditions –Control deflection within allowable values –Vehicle drag to be less than thrust deliverable

18. Parameterization of HSTDV Body Design variables X D : {  1,  2,  3,  n_plan,  wc, w fac_pl, t fac_pl,, H cruise }

19. Hypersonic Vehicle – Discipline Interactions Ext. Compression Model : AM1 Ext. Configuration Model : AM2 Aero Model : AM3 Trim Model : AM4 Thrust Model : AM5 Performance Model : AM6 Y1: l 1, l 2, l 3, h 1, h 2, h 3 Y2: m a, M I, , p st Y3: (X,Y,Z) Y4: TOGW, C.G., Vol, Fuel mass Y5: C N, C m, C A Y6: TOGW_up,  T,  T, D Y7: Th_deliv, L p, M p Y8: Cruise Range 11 22 33  n_pl  w_c SWSW STST H cr Input variable Analysis Model Output  n_pl, S W  1…, H cr Variables not shared Shared variables Y1 Y1… Response from AM1 required as input in AM2

20. System Level Analysis OutputsParameters A-2 A-4 A-1 A-5 A-3 Requirements: Abstraction at centralized system level Distribution of analysis modules Help in setting up MDA Control of individual modules with experts Tools (Optimisers, DOE, RSM,..) MDO Framework

21. MDO Framework is an important infrastructure for design Do MDO Framework exist? –iSIGHT, –Phoenix integration, –etc Most design offices are migrating to MDO Framework

22. System Engineering Processes Mr J Jayaraman MDO Framework for System Optimization Mr. Amitay Isaacs Contd....