Simulation With Entropy In Engineering Thermodynamics
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Simulation with Entropy in Engineering Thermodynamics
Author: Jean Thoma
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-04-27
It is with great pleasure that we present this book to the public. In principle it is about thermodynamics, especially the simulation of thermo?uid systems. In popular opinion, thermodynamics is considered to be highly abstract and di?cult to comprehend with its many symbols. We endeavor to show the reader how simple and beautiful thermodynamics really is. To achieve this simplicity we apply two innovations: Forus,entropyisasubstance-likeconcept,akindofthermalcharge,analogous to the well-known electric charge, and not the abstract and incomprehensible Clausius integral. This is by no means a new idea: apart from Sadi Carnot himself, people such as Callendar (1911), Job (1971), Falk (1976) and Fuchs (1996) all adopt the same point of view. We stress where thermal charge is analogous with electric charge and also point out the di?erences between them. To represent thermal systems we use Bondgraphs (BG), which are admirably suited to this purpose. They allow us to avoid many complex equations with numerous subscripts and superscripts. Of course, literature on BG abounds, including three books by present co-author Prof. Thoma and several other books published by Springer. We use BG more as a means to clarify the nature of physical variables and theiranalogiesinother?eldsratherthanfromtheviewpointofelectronicdata processing. For example, the di?erence between c (speci?c heat at constant v volume)andc (speci?cheatatconstantpressure)iscommontoallmultipo- p Cs; and BG make this very clear.
Engineering Thermodynamics: Simulation with Entropy
Author: Keenan Murphy
language: en
Publisher: Clanrye International
Release Date: 2023-09-19
Thermodynamics is a branch of physics that deals with matter and conversion of energy. Engineering thermodynamics is a subject of mechanical engineering that involves applying the principles of thermodynamics to engineering design of processes, devices, and systems, which involve effective utilization of energy and matter. Conversion between heat and work is fundamental in engineering thermodynamics. Entropy refers to a measurable physical characteristic and a scientific concept that is connected to a state of uncertainty, unpredictability or disorder. It is utilized in a variety of fields, including the principles of information theory, classical thermodynamics, and the microscopic description of nature in statistical physics. Entropy is central to the second law of thermodynamics, which asserts that the entropy of isolated systems left to unstructured expansion cannot decrease over time. This is due to the isolated systems always reaching thermodynamic equilibrium with the highest entropy. Different scenarios involving entropy production such as optimizing power and waste heat reduction can be studied by taking the help of simulation tools. This book aims to shed light on some of the unexplored aspects of engineering thermodynamics and the latest researches on simulation with entropy. It will serve as a valuable source of reference for graduate and postgraduate students.
Advances in the Modelling of Thermodynamic Systems
Thermodynamics is a common field of study involving many different specialties including physics, chemistry, geology, and cosmology. Thermodynamics is incredibly useful for manmade industrial processes related to material studies, renewable energy, and more. It is essential for professionals to stay current with the developments in thermodynamic systems, as thermodynamics proves vital for understanding natural macroprocesses related to geology, areology, and cosmology. Advances in the Modelling of Thermodynamic Systems discusses the recent advances in modeling of thermodynamic systems as well as the state-of-the-art manmade industrial processes and natural processes taking place on Earth and beyond. It reveals an interdisciplinary vision of thermodynamics from the minuscule to the immense. Covering topics such as entropy generation, linear modeling, and statistical analysis, this premier reference source is an essential resource for engineers, chemists, physicists, mechanics, geologists, cosmologists, students and educators of higher education, libraries, researchers, and academicians.