An Integrated Approach to Modeling and Optimization in Engineering and Science examines the effects of experimental design, mathematical modeling, and optimization processes for solving many different problems. The Experimental Design Method, Central Composite, Full Factorial, Taguchi, Box-Behnken, and D-Optimal methods are used, and the effects of the datasets obtained by these methods on mathematical modeling are investigated.
This book will help graduates and senior undergraduates in courses on experimental design, modeling, optimization, and interdisciplinary engineering studies. It will also be of interest to research and development engineers and professionals working in scientific institutions based on design, modeling, and optimization.
By:
Melih Savran,
Levent Aydin
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions:
Height: 229mm,
Width: 152mm,
Weight: 453g
ISBN: 9781032782799
ISBN 10: 103278279X
Pages: 329
Publication Date: 30 December 2024
Audience:
Professional and scholarly
,
Undergraduate
Format: Hardback
Publisher's Status: Active
Chapter 1. Introduction Chapter 2. Design of Experiment, Mathematical Modeling, and Optimization Chapter 3. Comparison of ANN and Neuro Regression Methods in Mathematical Modeling Chapter 4. Evaluation of R2 as Model Assessment Criteria Chapter 5. Questioning The Adequacy Of Using Polynomial Structures Chapter 6. The Effect of Using the Taguchi Method in Experimental Design on Mathematical Modeling Chapter 7. Comparison of Different Test and Validation Methods Used in Mathematical Modeling Chatper 8. Comparison of Different Model Assessment Criteria used in Mathematical Modeling Chapter 9. Comparison of the Effects of Experimental Design Methods on Mathematical Modeling Chapter 10.Special Functions in Mathematical Modeling
Melih Savran earned a BS degree in mechanical engineering at Manisa Celal Bayar University in 2013. He earned MS and PhD degrees in mechanical engineering at İzmir Katip Çelebi University in 2017 and 2023, respectively. He continues to work as a researcher at the same university. His research areas include mechanics of solids, design and mathematical modeling, machine learning, stochastic optimization, and hybrid natural/synthetic composites. He has international publications on stochastic optimization and modeling in engineering, including book chapters, journal articles, and conference papers. Levent Aydin is an Associate Professor of Mechanical Engineering at İzmir Katip Çelebi University. He earned a PhD degree in mechanical engineering at İzmir Institute of Technology in 2011. His main research interests are stochastic optimization, mechanics of solids, biocomposites, biosensors, advanced engineering mathematics, hybrid neuro regression, and artificial intelligence modeling. Dr. Aydin has written more than 100 international publications on stochastic optimization and modeling in engineering, including book chapters, journal articles, and conference papers. He is also a consultant for many industrial research and development projects of international engineering firms. Dr. Aydin is the founder of the Optimization, Modeling and Applied Math Research Group (OMA-RG). He is the editor or author of Designing Engineering Structures Using Stochastic Optimization Methods, Bioelectrochemical Interface Engineering, Hybrid Natural Fiber Composites, Vegetable Fiber Composites and Their Technological Applications, and Fiber Technology for Fiber-Reinforced Composites.