Multi-Response Optimization of Electrothermal Micromirror Using Desirability Function-Based Response Surface Methodology

Muhammad Saleem; Umar Farooq; Umer Izhar; Umar S Khan

doi:10.3390/mi8040107

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Multi-Response Optimization of Electrothermal Micromirror Using Desirability Function-Based Response Surface Methodology

Journal article

Open access

Peer reviewed

Multi-Response Optimization of Electrothermal Micromirror Using Desirability Function-Based Response Surface Methodology

Muhammad Saleem, Umar Farooq, Umer Izhar and Umar S Khan

Micromachines, Vol.8(4), pp.1-19

2017

DOI: https://doi.org/10.3390/mi8040107

PMCID: PMC6189808

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Abstract

bimorph

optimization

Micro-Electro-Mechanical Systems (MEMS)

desirability function

response surface models

biomedical

micromirror

The design of a micromirror for biomedical applications requires multiple output responses to be optimized, given a set of performance parameters and constraints. This paper presents the parametric design optimization of an electrothermally actuated micromirror for the deflection angle, input power, and micromirror temperature rise from the ambient for Optical Coherence Tomography (OCT) system. Initially, a screening design matrix based on the Design of Experiments (DOE) technique is developed and the corresponding output responses are obtained using coupled structural-thermal-electric Finite Element Modeling (FEM). The interaction between the significant design factors is analyzed by developing Response Surface Models (RSM) for the output responses. The output responses are optimized by combining the individual responses into a composite function using desirability function approach. A downhill simplex method, based on the heuristic search algorithm, is implemented on the RSM models to find the optimal levels of the design factors. The predicted values of output responses obtained using multi-response optimization are verified by the FEM simulations.

Details

Title: Multi-Response Optimization of Electrothermal Micromirror Using Desirability Function-Based Response Surface Methodology
Authors: Muhammad Saleem (Author) - National University of Sciences and Technology
Umar Farooq (Author) - National University of Sciences and Technology
Umer Izhar (Author) - Central Queensland University
Umar S Khan (Author) - National University of Sciences and Technology
Publication details: Micromachines, Vol.8(4), pp.1-19
Publisher: MDPI AG
Date published: 2017
DOI: 10.3390/mi8040107
ISSN: 2072-666X
PMID: PMC6189808
Copyright note: © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Organisation Unit: School of Science, Technology and Engineering
Language: English
Record Identifier: 99548508802621
Output Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Chemistry, Analytical; Instruments & Instrumentation; Nanoscience & Nanotechnology; Physics, Applied