1st Edition

An Integrated Approach to Modeling and Optimization in Engineering and Science

By Melih Savran, Levent Aydin Copyright 2025
    280 Pages 45 B/W Illustrations
    by CRC Press

    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 data sets 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 would also be of interest to R&D engineers and professionals working in scientific institutions based on design, modeling, and optimization.

    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             

    Biography

    Melih Savran received the B.S. degree in mechanical engineering from Manisa Celal Bayar University in 2013. He received the M.S. and Ph.D. degrees in mechanical engineering from 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 received his PhD degree in Mechanical Engineering from 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. He has 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 R&D projects of international engineering firms. Dr. Aydın is the founder of "optimization, modeling and applied math research group" (OMA-RG). Below are some examples of books that Dr. Aydın is the editor and/or author of.

    * Designing Engineering Structures Using Stochastic Optimization Methods

    * Bioelectrochemical Interface Engineering

    * Hybrid Natural Fiber Composites

    * Vegetable Fiber Composites and their Technological Applications

    * Fiber Technology for Fiber-Reinforced Composites