Optimization Methods for Finite Element Analysis and Design

Ishaan R. Kale

ISBN 10: 1032932104 / ISBN 13: 9781032932101

Published by CRC Press, 2025

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Optimization Methods for Finite Element Analysis and Design describes recent developments in Finite Element Methods (FEM). It gives a brief introduction of the applications of AI-based nature-inspired metaheuristic algorithms and machine learning (ML) at various stages of FEM. The book covers a range of state-of-the-art application areas including medical equipment, structural analysis and machinery products.It explores the applications of optimization and ML techniques in mesh smoothing, quality improvement and Laplacian and Taubin smoothing. The book also discusses the optimization of cable nets and steel frames using nature-inspired metaheuristic methods.

Seller Inventory # 9781032932101

Bibliographic Details

• Title: Optimization Methods for Finite Element Analysis and Design
• Publisher: CRC Press
• Publication Date: 2025
• Language: English
• ISBN 10: 1032932104
• ISBN 13: 9781032932101
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 15D millimeters 260 millimeters width by 183 millimeters height by 15 millimeters depth
• Weight: 567 grams

About this title

Synopsis

Optimization Methods for Finite Element Analysis and Design describes recent developments in Finite Element Methods (FEM). It gives a brief introduction of the applications of AI-based nature-inspired metaheuristic algorithms and machine learning (ML) at various stages of FEM. The book covers a range of state-of-the-art application areas including medical equipment, structural analysis and machinery products.

It explores the applications of optimization and ML techniques in mesh smoothing, quality improvement and Laplacian and Taubin smoothing. The book also discusses the optimization of cable nets and steel frames using nature-inspired metaheuristic methods.

About the Author

Ishaan R Kale holds a Ph.D. in Nature-Inspired Optimization Techniques from Symbiosis International University. He received his MEng in Mechanical Design Engineering from Maharashtra Institute of Technology, Pune University and BEng from North Maharashtra University. His research interest includes Design Engineering, Constraint Handling, Metaheuristic Optimization Algorithms and Hybrid Metaheuristics.

Sujin Bureerat received the B.Eng. degree in Mechanical Engineering from Khon Kaen University, Thailand, and the Ph.D. degree in Engineering from Manchester University, United Kingdom. He is a Professor with the Department of Mechanical Engineering, Khon Kaen University. His research interests include: multidisciplinary design optimization, metaheuristics, aeroelasticity, and aircraft design.

Ravipudi Venkata Rao is a renowned mechanical engineering academic specializing in optimization techniques, design, and manufacturing. With significant contributions to nature-inspired metaheuristic algorithms, he has authored numerous books and research papers, influencing fields like structural optimization, computational mechanics, and intelligent manufacturing systems worldwide.