Thermal System Optimization (Record no. 76326)

000 -LEADER
fixed length control field 04058nam a22006375i 4500
001 - CONTROL NUMBER
control field 978-3-030-10477-1
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801214423.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190214s2019 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030104771
-- 978-3-030-10477-1
082 04 - CLASSIFICATION NUMBER
Call Number 621.4021
100 1# - AUTHOR NAME
Author Patel, Vivek K.
245 10 - TITLE STATEMENT
Title Thermal System Optimization
Sub Title A Population-Based Metaheuristic Approach /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2019.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVI, 477 p. 174 illus.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Meta-Heuristics Methods -- Thermal Design and Optimization of Heat Exchangers -- Thermal Design and Optimization of Heat Engines/Heat Pump -- Thermal Design and Optimization of Refrigerating System -- Thermal Design and Optimization of Power Generating Cycles -- Miscellaneous Systems.
520 ## - SUMMARY, ETC.
Summary, etc This book presents a wide-ranging review of the latest research and development directions in thermal systems optimization using population-based metaheuristic methods. It helps readers to identify the best methods for their own systems, providing details of mathematical models and algorithms suitable for implementation. To reduce mathematical complexity, the authors focus on optimization of individual components rather than taking on systems as a whole. They employ numerous case studies: heat exchangers; cooling towers; power generators; refrigeration systems; and others. The importance of these subsystems to real-world situations from internal combustion to air-conditioning is made clear. The thermal systems under discussion are analysed using various metaheuristic techniques, with comparative results for different systems. The inclusion of detailed MATLAB® codes in the text will assist readers—researchers, practitioners or students—to assess these techniques for different real-world systems. Thermal System Optimization is a useful tool for thermal design researchers and engineers in academia and industry, wishing to perform thermal system identification with properly optimized parameters. It will be of interest for researchers, practitioners and graduate students with backgrounds in mechanical, chemical and power engineering.
700 1# - AUTHOR 2
Author 2 Savsani, Vimal J.
700 1# - AUTHOR 2
Author 2 Tawhid, Mohamed A.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-030-10477-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2019.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Thermodynamics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Heat engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Heat transfer.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mass transfer.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electric power production.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mechanical engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Chemistry, Technical.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering Thermodynamics, Heat and Mass Transfer.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical Power Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mechanical Power Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mechanical Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industrial Chemistry.
912 ## -
-- ZDB-2-ENG
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-- ZDB-2-SXE

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