Design and Analysis of Thermal Systems

個数：

Design and Analysis of Thermal Systems

Das, Malay Kumar/ Panigrahi, Pradipta K.

ウェブストア価格 ¥13,959（本体¥12,690）
CRC Press（2025/07発売）
外貨定価 US$ 66.99
ポイント 126pt

オンデマンド(OD/POD)版です。キャンセルは承れません。

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製本 Paperback:紙装版/ペーパーバック版／ページ数 408 p.
言語 ENG
商品コード 9780367503260
DDC分類 621.4025

Full Description

Thermal systems are essential features of all domestic and industrial applications involving heat and fluid flow. Focusing on the design of thermal systems, this book bridges the gap between the theories of thermal science and design of practical thermal systems. Further, it discusses thermodynamic design principles, mathematical and CFD tools that will enable students as well as professional engineers to quickly analyze and design practical thermal systems. The major emphasis is on practical problems related to contemporary energy- and environment-related thermal systems including discussions on computational fluid dynamics used in thermal system design.

Features

Exclusive book integrating thermal sciences and computational approaches

Covers both philosophical concepts related to systems and design, to numerical methods, to design of specific systems, to computational fluid dynamics strategies

Focus on solving complex real-world thermal system design problems instead of just designing a single component or simple systems

Introduces usage of statistics and machine learning methods to optimize the system

Includes sample PYTHON codes, exercise problems, special projects

This book is aimed at senior undergraduate/graduate students and industry professionals in mechanical engineering, thermo-fluids, HVAC, energy engineering, power engineering, chemical engineering, nuclear engineering.

1. Introduction. 2. Modeling and Simulation Basics. 3. Exergy for Design. 4. Material Selection. 5. Heat Exchanger. 6. Piping Flow. 7. Artificial Intelligence for Thermal Systems. 8. Numerical Linear Algebra. 9. Ordinary Differential Equations. 10. Numerical Differentiation and Integration. 11. Partial Differential Equations. 12. Computational Fluid Dynamics. 13. Electrochemical Systems. 14. Inverse Problems.