Design and Optimization of Thermal Systems Episode 1 Part 2 pptx

Preface to the Second Edition

The second edition of this book follows the basic principles, approaches, and

treatment presented in the first edition. The focus is clearly on systems in which

thermodynamics, fluid flow, and thermal transport form the main considerations.

However, the ideas, methodology, and pedagogy are applicable to a wide variety

of engineering systems. The main thrust is to design and optimize systems based

on inputs from simulation and experimental data on materials and on components

that constitute the system. A systematic approach is followed to finally obtain an

optimal design, starting with conceptual design and proceeding through mod￾eling, simulation, and design evaluation to choose a feasible design. Additional

aspects, such as system control, communicating the design, financial consider￾ations, safety, and material selection, that arise in practical systems are also pre￾sented. A wide range of examples from many different applied areas, such as

energy, environment, heating, cooling, manufacturing, aerospace, and transpor￾tation systems, are employed to explain the various elements involved in model￾ing, simulation, and design. Even though there are many significant differences

between such a diversity of systems, the basic approach is still very similar and

can be used for relatively simple systems with few components to large, com￾plex systems with many components and subsystems. A large number of solved

examples and exercises are included to supplement the discussion and to illustrate

the ideas presented in the text.

The book is appropriate as a textbook for engineering senior undergraduate or

first-year graduate level courses in design, as well as for capstone design courses

taught in most engineering curricula. It is also appropriate as a reference book in

courses at this level in heat transfer, fluid mechanics, thermodynamics, and other

related basic and applied areas in mechanical engineering and other engineering

disciplines. The book would also be useful as a reference for engineers working

on a wide range of problems in industry, national labs, and other organizations.

Among the major differences from the first edition is a greater emphasis on

the use of MATLAB® instead of high-level programming languages like Fortran

or C, for numerical modeling and simulation of components and systems. This is

in keeping with the current trend in engineering education where MATLAB has

emerged as the dominant environment for numerical solution of basic mathemati￾cal equations. Several Fortran programs in the first edition have been replaced by

corresponding MATLAB programs or commands. The resulting simplification in

numerical simulation is demonstrated through exercises and examples in MAT￾LAB, which are included to strengthen the presentation. Additional solved exam￾ples and exercises on thermodynamic systems like heating, cooling, and power

systems have been included because of the relative ease of simulating the compo￾nents as lumped and steady. Other simple systems are included in the discussion,

particularly in modeling, to make it easy to explain the basic ideas, which can

then be extended to systems that are more complicated. Additional exercises and

examples are included in all the chapters, as well as additional projects at the

end of the book. Extra information is added at various places, as appropriate; for

instance, in materials and in optimization. Much of the presentation has been

revised and, in several cases, simplified and clarified to make it easier to follow.

The presentation has also been updated to include recent advances in design

and optimization. Among the additional topics included are artificial-intelligence￾based techniques like genetic algorithms, fuzzy logic, and artificial neural net￾works. Response surfaces and other optimization techniques are included in the

discussion, along with effective use of concurrent experimental and numerical

inputs for design and optimization. Multi-objective optimization is particularly

important for thermal systems, since more than one objective function is typically

important in realistic systems, and a detailed treatment is included. Other strate￾gies to optimize the system are presented. Additional references have been added

on these topics, as well as on the others that were covered in the first edition. Previ￾ous references have been updated. The application of these ideas to the optimiza￾tion of thermal systems is reiterated with examples of actual, practical systems.

The material presented in this textbook is the outcome of many years of

teaching design of thermal systems, in elective courses and in capstone design

courses. The inputs from many colleagues and former graduate and undergradu￾ate students have been valuable in selecting the topics and the depth and breadth

of coverage. Discussions with colleagues outside Rutgers University, particularly

at the conferences of the American Society of Mechanical Engineers, have been

important in understanding the instruction and concerns at other universities.

Inputs from reviewers of the first edition were also useful in fine-tuning some

of the presentation. The support and assistance provided by the editorial staff of

Taylor & Francis, particularly by Jessica Vakili, have been valuable in the devel￾opment of the second edition. Finally, I would like to acknowledge the encour￾agement and support of my wife, Anuradha, and of our children, Ankur, Aseem,

and Pratik, as well as Pratik’s wife, Leslie, and son, Vyan, for this effort. It did

take me away from them for many hours and distracted me at other times. Their

patience and understanding is thus greatly appreciated.

Yogesh Jaluria