Using Post-Analyses of Optimisation Processes as an Active Computational Design Tool

Design optimisation techniques have proved to be very effective in the engineering design process. Turbomachinery is one of the fields with distinctive applications of such approaches. Apart from the improved efficiency of the process, significant advancements to the generic behaviour of engineering products have been recorded. Post-analyses of the optimisation processes and the optimal designs can reveal the physical mechanisms responsible for optimal behaviour characteristics, obtainable by no other means. Moreover, these findings can be deployed online in a dynamic way during the progression of the design process, in order to assist and enhance the adeptness of the computational design cycle and the efficacy of the navigation to the design space. In this paper we suggest an approach based on the post-analyses of optimisation using Parallel Coordinates for reducing the dimensionality of the design space without compromising the overall efficiency of the optimisation process and the quality of the Pareto front found for a three-objective turbomachinery test case.