Approximate multi-objective optimization of a wall-mounted monitor bracket arm considering strength design conditions

Jaehyeok Doh; Jongsoo Lee

doi:10.3795/KSME-A.2015.39.5.535

Approximate multi-objective optimization of a wall-mounted monitor bracket arm considering strength design conditions

Jaehyeok Doh, Jongsoo Lee

Department of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

In this study, an approximate multi-objective optimization of a wall-mounted monitor bracket arm was performed. The rotation angle of the bracket arm was determined considering the inplane degree of freedom. We then formulated an optimization problem on maximum stress and deflection. Analyses of mean and design parameters were conducted for sensitivity regarding performance with orthogonal array and response surface method (RSM). RSM models of objective and constraint functions were generated using central composite (CCD) and D-optimal design. The accuracy of approximate models was evaluated through R² value. The obtained optimal solutions by non-dominant sorting genetic algorithm (NSGA-II) were validated through the finite element analysis and we compared the obtained optimal solution by CCD and D-optimal design.

Original language	English
Pages (from-to)	535-541
Number of pages	7
Journal	Transactions of the Korean Society of Mechanical Engineers, A
Volume	39
Issue number	5
DOIs	https://doi.org/10.3795/KSME-A.2015.39.5.535
Publication status	Published - 2015 May

Bibliographical note

Publisher Copyright:
© 2015 The Korean Society of Mechanical Engineers.

All Science Journal Classification (ASJC) codes

Mechanical Engineering

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10.3795/KSME-A.2015.39.5.535

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abstract = "In this study, an approximate multi-objective optimization of a wall-mounted monitor bracket arm was performed. The rotation angle of the bracket arm was determined considering the inplane degree of freedom. We then formulated an optimization problem on maximum stress and deflection. Analyses of mean and design parameters were conducted for sensitivity regarding performance with orthogonal array and response surface method (RSM). RSM models of objective and constraint functions were generated using central composite (CCD) and D-optimal design. The accuracy of approximate models was evaluated through R2 value. The obtained optimal solutions by non-dominant sorting genetic algorithm (NSGA-II) were validated through the finite element analysis and we compared the obtained optimal solution by CCD and D-optimal design.",

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Approximate multi-objective optimization of a wall-mounted monitor bracket arm considering strength design conditions

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