MITESD_77S10_pres03 (1)

MITESD_77S10_pres03 (1) - SUPERSONIC BUSINESS JET Design...

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Unformatted text preview: SUPERSONIC BUSINESS JET Design Space Exploration and Optimization Josiah VanderMey Hassan Bukhari MIT 16.888/ESD.775 Overview Problem Formulation Motivation and Challenges Objectives and Constraints Model and Simulation Model Overview and Description Benchmarking and Validation Optimization Algorithms and tuning Post Optimality Analysis Multi-Objective and Tradeoff Analysis Conclusions and Recommendations 2 Problem Formulation Motivation and Challenges 3 Motivation Large potential market for a Supersonic Business Jet 1 ,2 Fast transportation for executives who travel frequently and are able to afford more expensive transportation (20-50% reduction in travel time) 3 Business aircraft less sensitive to economic fluctuations Application outside of solely business executives MEDEVAC Airfreight Military Challenges High speed flight aerodynamics Very expensive aircraft to own and operate 1 Because of increasing environmental awareness, the focus for the design of this aircraft must include environmental concerns in addition to traditional performance and economic metrics. 4 Overland flight with minimal sonic boom Engine must meet noise and emissions standards Problem Formulation Objectives and Constraints 4 Objective Statement : Design a highly profitable supersonic business jet that complies with noise and performance regulations required to operate out of commercial airports Outputs from system model divided into constraints or objectives based on their potential impact on profits (objectives) or compliance with regulations (constraints) Objective Name Take-off Gross Weight (lbs) TOGW Fuel Weight (lbs) FUELWT Average Yeild per Revenue Passenger Mile ($/mi) DPRPM Acquisition Cost (Million $) ACQCST Type Variable Name Min Max Take-off Field Length (ft) TOFL 11,000 Landing Field Length (ft) LANDFL 11,000 Approach Speed (kts) APPSPD 155 Approach Angle of Attack (deg) AANGLA 12 Fuel Volume Ratio (available/required) FRATIO 1.0 Delta Sideline Noise SNOISE 10 Delta Flyover Noise FNOISE 10 Delta Approach Noise ANOISE 10 Environmental Constraints Performance Constraints Model and Simulation Overview 5 Inputs Wing and tail geometry Engine Parameters Outputs Objective and Constraints Each output is modeled using a Response Surface Equation (RSE) Linear and interaction terms only ?? = + =1 + = +1 1 =1 Model and Simulation Overview 6 Limitations/Features of RSE 6 Accuracy only guaranteed in a small trust region around sample points Unable to predict multiple extrema Assumes randomly distributed error (not usually the case in computer experiments)-0.05-0.04-0.03-0.02-0.01 0.01 0.02 0.03 0.04 XWING XHT XVT X1LEKN X2LETP X3TETP X4TEKN X5TERT Y1KINK WGAREA HTAREA VTAREA CFG TIT BPR OPR FANMN FPR ETR SAR TOTM FNWTR ACQCST*10^-2 FUELWT*10^-6...
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MITESD_77S10_pres03 (1) - SUPERSONIC BUSINESS JET Design...

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