ROBUST CONCEPT EXPLORATION OF PROPULSION SYSTEMS WITH ENHANCED MODEL APPROXIMATION CAPABILITIES
- 1 January 2000
- journal article
- research article
- Published by Taylor & Francis in Engineering Optimization
- Vol. 32 (3) , 309-334
- https://doi.org/10.1080/03052150008941302
Abstract
Improvements in industrial productivity require the creation of a reliable design in the shortest possible time. This is especially significant for designs thai involve computer intensive analyses. The Robust Concept Exploration Method (RCEM) embodies a systematic approach to configuring complex engineering systems in the early stages of product design by introducing quality considerations based on the robust design principle. Approximation techniques are employed in the RCEM to replace intensive analysis programs for saving computational time and cost, thereby increasing the efficiency of the design process. In this paper, the applicability of the RCEM for multiobjective complex systems design is examined by applying it to the propulsion system conceptual design process at Pratt and Whitney. Various approximation techniques are studied and a new strategy is proposed to enhance the existing model approximation techniques embodied in the RCEM.Keywords
This publication has 8 references indexed in Scilit:
- A Robust Concept Exploration Method for Enhancing Productivity in Concurrent Systems DesignConcurrent Engineering, 1997
- A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control FactorsJournal of Mechanical Design, 1996
- A CONCEPT EXPLORATION METHOD FOR DETERMINING ROBUST TOP-LEVEL SPECIFICATIONSEngineering Optimization, 1996
- Approximation in nonhierarchic system optimizationAIAA Journal, 1994
- Neural networks in structural analysis and design: An overviewComputing Systems in Engineering, 1992
- NON-HIERARCHIC SYSTEM DECOMPOSITION IN STRUCTURAL OPTIMIZATIONEngineering Optimization, 1992
- Optimum sensitivity derivatives of objective functions in nonlinear programmingAIAA Journal, 1983
- Principles of geostatisticsEconomic Geology, 1963