MIeS Class ss Projects -Al pl pplications g88 Tools Silent Aircraft Design(air Constellation Design Generic Technical Computing Environments General Aviation Conceptual Interferometers(Howell) Matlab, Mathematica, Maple, Excel Design(Vincent, Chan) Hybrid Constellations(Chan Performance and Financial Shah, Samuels, Underwood) ptimization of Aircraft(Peoples Constellation Reconfiguration C, C++, Fortran, (Java), Visual Basic Schuman) (Scialom, Verani) UAV sensor MSDO Artificial Gravity Fluent NASTRAN, Solidworks ProE placement(Jourdan) Satellite(Kuwata ary CAe code Compressor design Ground Infrastructure (land) Connectivity Data Exchange Codes Marine Corporate Facilities(Kalligeros DOME(MIT)/CO(Oculus), ICEmaker, ISIGHT(Fiper) pplications(water) Sensor Network for structural A Optimization Health Monitoring ( Yu) Sail Boat Optimization (Willis) ISIGHT, CPLEX, Excel Plug-Ins, Matlab Toolboxes, AMPL Vehicle Suspension Optimization Offshore Wind Turbine support (Gray, Wronski) ptimization (Withee) Radio Telescope Array(Cohanim Massachusetts Institute of Technology -Prof de Weck and Prof Wacox Massachusetts institute of Technology.Prof. de Weck and Prof. willcox AlAA MDO TC View Deal with design models of realistic size and fidelity. that will not lead to erroneous conclusions Analysis and Formulations and Organization and Cultur Reduce the tedium of coupling variables and results Software from disciplinary models, such that engineers don't MD Training spend 50-80% of their time doing data transfer Data and software MD process de-/ re- composition Allow for creativity, intuition and"beauty, while lity resu leveraging rigorous, quantitative tools in the design process. Hand-shaking: qualitative vs quantitative Data visualization in multiple dimension Human interface Incorporation of higher-level upstream and MD analysis and eds at 1998 downstream system architecture aspects in early design: staged deployment, safety and security, environmental sustainability, platform design etc Massachusetts Institute of Technology -. de Weck and Prof Wilcox Massachusetts Institute of Techmology.Prof de Weck and Prof Willcox17 Massachusetts Institute of Technology - Prof. de Weck and Prof. Willcox Class Projects Class Projects – Applications (2003) Applications (2003) Aircraft Systems Design Spacecraft and Constellation Design Marine Applications Ground Infrastructure and Vehicles (air) (water) (land) (space) MSDO - Interferometers (Howell) - Hybrid Constellations (Chan, Shah, Samuels, Underwood) - Constellation Reconfiguration (Scialom, Verani) - Artificial Gravity Satellite (Kuwata) - Corporate Facilities (Kalligeros) - Sensor Network for Structural Health Monitoring (Yu) - Vehicle Suspension Optimization (Gray, Wronski) - Radio Telescope Array (Cohanim) - Silent Aircraft Design (Benveniste, Lei, Manneville) - General Aviation Conceptual Design (Vincent, Chan) - Performance and Financial Optimization of Aircraft (Peoples, Schuman) - UAV sensor placement (Jourdan) - Compressor design (Dorca, Perrot) - Sail Boat Optimization (Willis) - Offshore Wind Turbine support optimization (Withee) 18 Massachusetts Institute of Technology - Prof. de Weck and Prof. Willcox Tools • Generic Technical Computing Environments - Matlab, Mathematica, Maple, Excel • Programming Languages for Simulation - C, C++, Fortran, (Java), Visual Basic • Special Purpose CAD/CAE - Fluent, NASTRAN, Solidworks, ProE,... • Multidisciplinary CAE codes - FEMLAB • “Connectivity” Data Exchange Codes - DOME (MIT)/CO (Oculus), ICEmaker, iSIGHT(Fiper) • Optimization - iSIGHT, CPLEX, Excel Plug-Ins, Matlab Toolboxes, AMPL 19 Massachusetts Institute of Technology - Prof. de Weck and Prof. Willcox Challenges of MSDO • Deal with design models of realistic size and fidelity that will not lead to erroneous conclusions • Reduce the tedium of coupling variables and results from disciplinary models, such that engineers don’t spend 50-80% of their time doing data transfer • Allow for creativity, intuition and “beauty”, while leveraging rigorous, quantitative tools in the design process. Hand-shaking: qualitative vs. quantitative • Data visualization in multiple dimensions • Incorporation of higher-level upstream and downstream system architecture aspects in early design: staged deployment, safety and security, environmental sustainability, platform design etc... 20 Massachusetts Institute of Technology - Prof. de Weck and Prof. Willcox AIAA MDO TC View Analysis and Approximations Analysis and Approximations Organization and Culture Organization and Culture Design Problem Formulations and Solutions Design Problem Formulations and Solutions Information Processing and Management Information Processing and Management Cost-fidelity trade-off Cost-fidelity trade-off MD analysis and sensitivity analysis MD analysis and sensitivity analysis SD analysis and sensitivity analysis SD analysis and sensitivity analysis Parametric product data models Parametric product data models High-fidelity results inclusion High-fidelity results inclusion Approximations Approximations Design problem formulation Design problem formulation MD optimization MD optimization SD optimization SD optimization Optimization procedures Optimization procedures Optimization algorithms Optimization algorithms Problem de- /re- composition Problem de- /re- composition Software engineering Software engineering MD computing MD computing Human interface Human interface MD environment MD environment Data visualization, storage, management Data visualization, storage, management Data and software standards Data and software standards MD Training MD Training MD in existing organization MD in existing organization MD in integrated product teams MD in integrated product teams MD process insertion MD process insertion * Based on Special Session on Industry Needs at 1998 AIAA/MA&O