000			03380nam a2200433 c 4500
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988			_aSpringer_Engineering_2020
999			_c114568 _d114568 _x1
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003			ES-MaUEC
005			20230110040227.0
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008			190626s2020 gw a o |||| 0|eng d
020			_a9783030214968
024	7		_a10.1007/978-3-030-21496-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK7875 _b2020 EB
100	1		_aDi Barba, Paolo _eautor _9671584
245	1	0	_aMEMS : _bField Models and Optimal Design _cby Paolo Di Barba, Slawomir Wiak.
250			_a1st ed. 2020.
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (IX, 190 páginas)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aLecture Notes in Electrical Engineering _x1876-1100 _v573
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- MEMS modelling: distributed vs lumped parameter models -- Engineering electrostatics and boundary-value problems -- Engineering magnetostatics and boundary-value problems -- Steady-conduction field and boundary-value problems.
520	3		_aThis book highlights numerical models as powerful tools for the optimal design of Micro-Electro-Mechanical Systems (MEMS). Most MEMS experts have a background in electronics, where circuit models or behavioral models (i.e. lumped-parameter models) of devices are preferred to field models. This is certainly convenient in terms of preliminary design, e.g. in the prototyping stage. However, design optimization should also take into account fine-sizing effects on device behavior and therefore be based on distributed-parameter models, such as finite-element models. The book shows how the combination of automated optimal design and field-based models can produce powerful design toolboxes for MEMS. It especially focuses on illustrating theoretical concepts with practical examples, fostering comprehension through a problem-solving approach. By comparing the results obtained using different methods, readers will learn to identify their respective strengths and weaknesses. In addition, special emphasis is given to evolutionary computing and nature-inspired optimization strategies, the effectiveness of which has already been amply demonstrated. Given its scope, the book provides PhD students, researchers and professionals in the area of computer-aided analysis with a comprehensive, yet concise and practice-oriented guide to MEMS design and optimization. To benefit most from the book, readers should have a basic grasp of electromagnetism, vector analysis and numerical methods.
650		7	_2embne _9138689 _aMicroelectrónica
650		7	_2embne _aCircuitos integrados _9139614
700	1		_aWiak, Slawomir. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783030214951
776	0	8	_iPrinted edition: _z9783030214975
776	0	8	_iPrinted edition: _z9783030214982
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-21496-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
998			_aSI _cm _dz _feng _ggw _h0 _b12/2019 _ek _zSI