Heuristic technique for multi-objective optimisation of engine cylinder fins

Abstract

In this paper, we perform an analysis of an engine fin array, of the conventional circular type, for both heat dissipation and fin material cost. The set of designs proposed are non-dominated in nature and serves both objectives reasonably. The Non-dominated Sorting Genetic Algorithm (NSGA-II) is used to optimise the factors affecting the heat transfer and the material cost. The bore radius, fin thickness, fin length, number of fins, and velocity of air around the fins are taken as parameters for the multi-objective optimisation. The Steady State Thermal module of ANSYS 19.0 software is used to compute the fitness function, which is an integral part of GA. This work aims at developing an integrated solution technique by combining the ANSYS software with Genetic Algorithm (GA) which will increase the accuracy and speed in obtaining the results. The results attained show that the proposed method offers an efficient and robust optimisation technique.