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Among all aspects of engineering, design is the most important step in developing a new product. A systematic approach to managing design issues can only be accomplished by applying mathematical optimization methods. Furthermore, due to the practical issues in engineering problems, there are limitations in using traditional methods. As such, stochastic optimization methods such as differential evolution, simulated annealing, and genetic algorithms are preferable in finding solutions in design optimization problems. This book reviews mechanical engineering design optimization using stochastic methods. It introduces students and design engineers to practical aspects of complicated mathematical optimization procedures, and outlines steps for wide range of selected engineering design problems. It shows how engineering structures are systematically designed. Many new engineering design applications based on stochastic optimization techniques in automotive, energy, military, naval, manufacturing process and fluids-heat transfer, are described in the book. For each design optimization problem described, background is provided for understanding the solutions. There are very few books on optimization that include engineering applications. They cover limited applications, and that too of well-known design problems of advanced and niche nature. Common problems are hardly addressed. Thus, the subject has remained fairly theoretical. To overcome this, each chapter in this book is contributed by at least one academic and one industrial expert researcher.

Mathematical Background Levent Aydin, H.Seçil Artem, and Selda Oterkus Stochastic Optimization Methods H. Irem Erten, H.Arda Deveci, and H. Seçil Artem Mathematica and Optimization Melih Savran, Harun Sayi, and Levent Aydin Design and Optimization of Glass Reinforced Composite Driveshafts for Automotive Industry Melih Savran, Ozan Ayakdaş, Levent Aydin, and M. Eren Dizlek Dual Mass Flywheel Optimization Ümmühan Gümüş, Levent Aydin, Okan Yazici, and Samet Kabacaoğlu Wind Turbine Optimization by using Stochastic Methods Ebru Düz, Levent Aydin, Selda Oterkus, and Mahir Tosun Development of Optimum Hydrogen Storage Vessels Harun Sayi, Ozan Ayakdaş, Levent Aydin, and H. Seçil Artem Optimization of Surface Roughness in Slicing Process of Silicon Ingots Savas Ozturk, Nilay Kucukdogan, Levent Aydin, and Ayşe Seyhan Design and Optimization of Permanent Magnet Synchronous Generators Erhan Nergiz, Levent Aydin, Durmuş Uygun, Nilay Kucukdogan, and Yucel Cetinceviz Design Optimization of an Offshore Wind Turbine H. Irem Erten, Levent Aydin, Selda Oterkus, Erkan Oterkus, and H. Seçil Artem Structural optimization of bulk carrier bottom stiffened panels by using multiple nonlinear regression model Mehmet Sari, İlhan Tatar, Levent Aydin, Selda Oterkus, and Erkan Oterkus Optimization of Weld Bead Geometry for TIG Welding Process Fatih Turhan, Cansu Yildirim, and Levent Aydin Geometrical Optimization for a Cold Extrusion Process Sezgin Yurtdas, Levent Aydin, Cenk Kilicaslan, and H.Irem Erten Aerodynamic Optimization of a Compressor Rotor Using Genetic Algorithm Orçun Kor, and Sercan Acarer Heat Transfer Optimization by Multiple Nonlinear Neuro-regression Approach for Ground Source Heat Exchanger Şahin Güngör, and Murat Aydin Thermal Optimization of Lightweight and Micro-porous Clay Bricks for Building Applications Savas Ozturk, Mucahit Sutcu, Levent Aydin, and Osman Gencel

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