Lessons Learned During Solutions of Multidisciplinary Design Optimization Problems
Author(s) -
Surya N. Patnaik,
Rula M. Coroneos,
Dale A. Hopkins,
Thomas Lavelle
Publication year - 2002
Publication title -
journal of aircraft
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.64
H-Index - 94
eISSN - 1533-3868
pISSN - 0021-8669
DOI - 10.2514/2.2959
Subject(s) - multidisciplinary design optimization , multidisciplinary approach , computer science , aerospace engineering , aeronautics , mathematical optimization , engineering , mathematics , sociology , social science
Optimization research at NASA Glenn Research Center has addressed the design of structures, aircraft and airbreathing propulsion engines. During solution of the multidisciplinary problems several issues were encountered. This paper lists four issues and discusses the strategies adapted for their resolution. (a) The optimization process can lead to an inefficient local solution. This deficiency was encountered during design of an engine component. The limitation was overcome through an augmentation of animation into optimization. (b) Optimum solutions obtained were infeasible for aircraft and air-breathing propulsion engine problems. Alleviation of this deficiency required a cascading of multiple algorithms. (c) Profile optimization of a beam produced an irregular shape. Engineering intuition restored the regular shape for the beam. (d) The solution obtained for a cylindrical shell by a sub-problem strategy converged to a design that can be difficult to manufacture. Resolution of this issue remains a challenge. The issues and resolutions are illustrated through six problems: (1) design of an engine component, (2) synthesis of a subsonic aircraft, (3) operation optimization of a supersonic engine, (4) design of a wave-rotor-topping device, (5) profile optimization of a cantilever beam, and (6) design of a cylindrical shell. The combined effort of designers and researchers can bring the optimization method from academia to industry.
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