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999			_c110665 _d110665
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003			ES-MaUEC
005			20230102113432.0
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007			cr nn nnnaamaa
008			190214s2019 gw a o |||| 0|eng d
020			_a9783030104771
024	7		_a10.1007/978-3-030-10477-1 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aTJ265 _b2019 EB
100	1		_aPatel, Vivek K. _9670328
245	1	0	_aThermal System Optimization : _bA Population-Based Metaheuristic Approach _cby Vivek K. Patel, Vimal J. Savsani, Mohamed A. Tawhid
264		1	_aCham _bSpringer _c2019
300			_a1 recurso en línea (XVI, 477 páginas) _b174 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- 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	3		_aThis 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.
650		7	_2embne _9139804 _aTermodinámica _xModelos matemáticos
650		7	_2embne _9669494 _aCalor _xTransmisión _xModelos matemáticos
650		7	_2embne _9145705 _aOptimización matemática
700	1		_aSavsani, Vimal J. _eautor _9670330
700	1		_aTawhid, Mohamed A. _eautor _9670331
710	2		_aSpringerLink (Online service) _9106996
776	0	8	_iPrinted edition: _z9783030104764
776	0	8	_iPrinted edition: _z9783030104788
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-10477-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Engineering
998			_aSI _cm _dz _feng _ggw _h0 _b08/2019 _eu _zSI