Optimization can be mathematically defined as seeking the maximum or minimum of a function of usually several variables. In engineering terms, optimization seeks to obtain the "best" possible design where the "best" could mean a highly fuel efficient car, a low cost refrigerator and so on. In each of the above examples, the device must first "work" and satisfy certain conditions known as "constraints". In the light of the above, it is clear that optimization lies at the root of engineering and every engineer is "expected" to optimize the system(s) he/she designs! However, optimization has been largely neglected in thermal sciences. This is reflected by the scarcity of good texts on this subject, save a few, despite the ever increasing importance of design and optimization in thermal systems. Other major factors that stunted the growth of the field were the requirement of computational resources in terms of computing power and the availability of software to confront challenging optimization problems. These are no longer relevant in this day and age as the world has seen an explosive growth in both computing power and optimization methods and tools. Hence, the stage is set for the engineer to seek the optimum in thermal sciences, instead of just being content with having a design that "works". Keeping this in mind, this new text proposes to introduce the general principles involved in system design and optimization as applicable to thermal systems, followed by the methods to accomplish them. The book will feature several surprising examples and will follow a conversational style. The book will, for the first time, introduce contemporary techniques like Genetic Algorithms, Simulated Annealing, ANN and Bayesian Inference in the context of optimization of thermal systems. There is a separate chapter devoted to inverse problems in thermal systems, which will be another unique feature in the textbook. Examples and problems in every chapter will clarify the concepts and methods presented and end-of-chapter problems will supplement the material presented and enhance the learning process. Contents 1. Introduction to design and system design 2. System Simulation 3. Curve fitting 4. Optimization-Basic ideas and formulation 5. Lagrange multipliers 6. Search methods 7. Linear programming and Dynamic Programming 8. Non-traditional optimization techniques 9. Inverse problems Bibliography Random number table Index Printed Pages: 328. Bookseller Inventory #
Synopsis: Used - Like New
Title: Essentials of Thermal System Design and ...
Publisher: Ane Books Pvt. Ltd 0
Book Condition: New
Book Description Condition: New. This is Brand NEW. Seller Inventory # Ahuja-19062018-634