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Effect of Process Parameters in Electric Discharge Machining of AZ31 Magnesium Alloy Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Parametric Optimization of Cracked Cantilever Beam Using Genetic Algorithm

Authors : Mihir Kumar Sutar, Sarojrani Pattnaik, Pawan Kumar Modi

Published in: Trends in Manufacturing and Engineering Management

Publisher: Springer Singapore

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Abstract

This paper presents a smart crack detection system using genetic algorithm (GA) for a cantilever beam. The accuracy of prediction is optimized by performing parametric optimization of the first three natural frequencies. The three modes of natural frequencies are obtained from the experimental procedures and are optimized to reduce the percentage of error in predicting the relative crack position and crack depth from a fixed position. Comparison of analytical method is in agreement with the experimental values as the error percent between the experimental and predicted values is below 10%.

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previous chapter Optimization of Laser Trepanning Parameters for Mild Steel by Taguchi Response Surface Methodology (T-RSM)
next chapter Study of the Influence of Reinforcement Parameters on Thermal Conductivity of Magnesium-Based MMCs Through Taguchi’s Orthogonal Array Approach
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Metadata
Title
Parametric Optimization of Cracked Cantilever Beam Using Genetic Algorithm
Authors
Mihir Kumar Sutar
Sarojrani Pattnaik
Pawan Kumar Modi
Copyright Year
2021
Publisher
Springer Singapore
Book
Trends in Manufacturing and Engineering Management

Print ISBN: 978-981-15-4744-7

Electronic ISBN: 978-981-15-4745-4

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-4745-4_79

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