عنوان

Thermal system optimization :

شابک

303010477X

شابک

3030104788

شابک

9783030104771

شابک

9783030104788

شابک اشتباه

3030104761

شابک اشتباه

9783030104764

عنوان اصلي

Thermal system optimization :

نام عام مواد

[Book]

ساير اطلاعات عنواني

a population-based metaheuristic approach /

نام نخستين پديدآور

Vivek K. Patel, Vimal J. Savsani and Mohamed A. Tawhid.

محل نشرو پخش و غیره

Cham, Switzerland :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

[2019]

تاریخ نشرو بخش و غیره

©2019

نام خاص و کميت اثر

1 online resource

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

Intro; Preface; Contents; 1 Introduction; Abstract; References; 2 Metaheuristic Methods; Abstract; 2.1 Genetic Algorithm (GA); 2.1.1 Reproduction; 2.1.2 Crossover; 2.1.3 Mutation; 2.2 Particle Swarm Optimization (PSO) Algorithm; 2.3 Differential Evolution (DE) Algorithm; 2.4 Artificial Bee Colony (ABC) Algorithm; 2.5 Cuckoo Search Algorithm (CSA); 2.6 Teaching-Learning-Based Optimization (TLBO) Algorithm; 2.6.1 Teacher Phase; 2.6.2 Learner Phase; 2.7 Symbiotic Organism Search (SOS) Algorithm; 2.7.1 Mutualism Phase; 2.7.2 Commensalism Phase; 2.7.3 Parasitism Phase

متن يادداشت

2.8 Water Wave Optimization (WWO) Algorithm2.8.1 Propagation Operator; 2.8.2 Refraction Operator; 2.8.3 Breaking Operator; 2.9 Heat Transfer Search (HTS) Algorithm; 2.10 Passing Vehicle Search (PVS) Algorithm; 2.11 Sine Cosine Algorithm (SCA); 2.12 Parameter Tuning of Algorithms; References; 3 Thermal Design and Optimization of Heat Exchangers; Abstract; 3.1 Shell and Tube Heat Exchanger (STHE); 3.1.1 Thermal Model; 3.1.2 Case Study, Objective Function Description, and Constraints; 3.1.3 Results and Discussion; 3.2 Plate-Fin Heat Exchanger (PFHE); 3.2.1 Thermal Model

متن يادداشت

3.2.2 Case Study, Objective Function Description, and Constraints3.2.3 Results and Discussion; 3.3 Fin and Tube Heat Exchanger (FTHE); 3.3.1 Thermal Model; 3.3.2 Case Study, Objective Function Description, and Constraints; 3.3.3 Results and Discussion; 3.4 Regenerative Heat Exchanger (Rotary Regenerator); 3.4.1 Thermal Model; 3.4.2 Case Study, Objective Function Description, and Constraints; 3.4.3 Results and Discussion; 3.5 Plate Heat Exchanger (PHE); 3.5.1 Thermal Model; 3.5.2 Case Study, Objective Function Description, and Constraints; 3.5.3 Results and Discussion; References

متن يادداشت

4 Thermal Design and Optimization of Heat Engines and Heat PumpsAbstract; 4.1 Carnot Heat Engine; 4.1.1 Thermal Model; 4.1.2 Case Study, Objective Function Description, and Constraints; 4.1.3 Results and Discussion; 4.2 Rankine Heat Engine; 4.2.1 Thermal Model; 4.2.2 Case Study, Objective Function Description, and Constraints; 4.2.3 Results and Discussion; 4.3 Stirling Heat Engine; 4.3.1 Thermal Model; 4.3.2 Case Study, Objective Function Description, and Constraints; 4.3.3 Results and Discussion; 4.4 Brayton Heat Engine; 4.4.1 Thermal Model

متن يادداشت

4.4.2 Case Study, Objective Function Description, and Constraints4.4.3 Results and Discussion; 4.5 Ericsson Heat Engine; 4.5.1 Thermal Model; 4.5.2 Case Study, Objective Function Description, and Constraints; 4.5.3 Results and Discussion; 4.6 Diesel Heat Engine; 4.6.1 Thermal Model; 4.6.2 Case Study, Objective Function Description, and Constraints; 4.6.3 Results and Discussion; 4.7 Radiative-Type Heat Engine; 4.7.1 Thermal Model; 4.7.2 Case Study, Objective Function Description, and Constraints; 4.7.3 Results and Discussion; 4.8 Stirling Heat Pump; 4.8.1 Thermal Model

بدون عنوان

0

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

متن يادداشت

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.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix.9783030104771

عنوان

Thermal system optimization.

شماره استاندارد بين المللي کتاب و موسيقي

9783030104764

موضوع مستند نشده

Heat-- Transmission-- Mathematical models.

موضوع مستند نشده

Mathematical optimization.

موضوع مستند نشده

Metaheuristics.

موضوع مستند نشده

Thermodynamics-- Mathematical models.

موضوع مستند نشده

Heat-- Transmission-- Mathematical models.

موضوع مستند نشده

Mathematical optimization.

موضوع مستند نشده

Metaheuristics.

موضوع مستند نشده

TECHNOLOGY & ENGINEERING-- Mechanical.

موضوع مستند نشده

Thermodynamics-- Mathematical models.

موضوع مستند نشده

TEC-- 009070

موضوع مستند نشده

TGMB

موضوع مستند نشده

TGMB

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Patel, Vivek K.

مستند نام اشخاص تاييد نشده

Savsani, Vimal J.

مستند نام اشخاص تاييد نشده

Tawhid, Mohamed A.

تاريخ عمليات

20200823082332.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y