Optimization Methods for Finite Element Analysis and Design describes recent developments in Finite Element Methods (FEM). The book covers a range of state-of-the-art application areas including medical equipment, structural analysis, and machinery products.
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.
Chapter 1: A Brief Review of Different Optimization and Machine Learning
Techniques for Mesh Refinement.
Chapter 2: Bridging Theory and Practice in
Mesh Smoothing Techniques.
Chapter 3: Static Deformation of Cable Nets: The
Conic Programming Approach.
Chapter 4: Design and Analysis of Gas Turbine
Rotor Blade with Film Cooling for Aeronautical Applications.
Chapter 5:
Optimal Design of Frame Structures Based on the Finite Elements Analysis
Using Fuzzy Jaya Algorithm.
Chapter 6: Total Potential Optimization Using
Metaheuristic Algorithms for Analysis of Structural Systems.
Chapter 7:
Optimal Design of Heat Exchanger Systems Using Marathon Runner Algorithm.
Chapter 8: Cohesive Zone Modeling of Epoxy Bonded Composite Lap Joints under
Cyclic Loading
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.
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