Three-Objective Optimization For The Design Of Mechanical Component Using Evolutionary Numerical Simulation Approach

Abstract

The mechanical component design is an iterative, manual and often tedious task, as many real-world engineering design problems involving constraints and complex relationships among several design variables and multiple design objectives. Traditional approaches for solving multiobjective engineering design optimization problems typically scalarize the multiple objectives into a single objective, thus transforming the original multiple objective design problem into a single objective problem with a single solution. However, the known drawbacks of these traditional approaches have motivated researchers and practitioners to seek alternative techniques that yield a set of compromised engineering design solutions called Pareto optimal solutions rather than a single solution. Furthermore, these techniques involve the optimization not only of multiple objectives simultaneously, but also conflicting objectives, where improving one objective degrades the performance of one or more of the other objectives. This research describes a proposed bio-inspired numerical simulation approach that addresses the shortcomings of existing approaches for mechanical design optimization. In this study, we selected to optimize simplified form of cooling channel of a gas turbine blade with turbulators (ribs). The proposed design approach identifies a set of tradeoff design solutions to select from based on design engineer preferences.

Publication Date

1-1-2016

Publication Title

52nd AIAA/SAE/ASEE Joint Propulsion Conference, 2016

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.2514/6.2016-4959

Socpus ID

85088774505 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85088774505

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