@inproceedings{e5136aa522754ef293b73f0dfeeaeb61,
title = "Shape optimization of microchannels using surrogate modelling",
abstract = "To minimize the computational and optimization time, a numerical simulation of 3D microchannel heat sink was performed using surrogate model to achieve the optimum shape. Latin hypercube sampling method was used to explore the design space and to construct the model. The accuracy of the model was evaluated using statistical methods like coefficient of multiple determinations and root mean square error. Thermal resistance and pressure drop being conflicting objective functions were selected to optimize the geometric parameters of the microchannel. Multi objective shape optimization of design was conducted using genetic algorithm and the optimum design solutions are presented in the Pareto front. The application of the surrogate methods has predicted the performance of the heat sink with the sufficient accuracy employing significantly lower computational resources.",
author = "Ali, {Muhammad Ansab} and Khan, {Tariq S.} and Saqib Salam and Hajri, {Ebrahim Al}",
note = "Publisher Copyright: {\textcopyright} American Society of Mechanical Engineers (ASME). All rights reserved.; ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018 ; Conference date: 09-11-2018 Through 15-11-2018",
year = "2018",
doi = "10.1115/imece2018-87780",
language = "British English",
series = "ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)",
booktitle = "Heat Transfer and Thermal Engineering",
}