MULTIDISCIPLINARY OPTIMIZATION IN TURBOMACHINERY DESIGN

Abstract

This paper investigates particular aspects of performing multidisciplinary optimizations in different turbomachinery design steps. The differences in the optimization approaches and used methods in preliminary and final design steps are shown. An optimization environment is developed, which supports multidisciplinary turbomachinery design. The general concept and components are explained. Some of the implemented methods and tools, which are used particularly in multidisciplinary optimization, are presented. Examples show the potential of the proposed methods. Pareto-optimization enables multi-objective optimizations, very important in preliminary design steps. Various objectives are optimized concurrently. An entire set of Pareto-optimal solutions, design variants, can be computed. Response surfaces promise to accelerate the entire design process.