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000922001 020__ $$a9783030214968$$q(electronic book)
000922001 020__ $$a3030214966$$q(electronic book)
000922001 020__ $$z9783030214951
000922001 035__ $$aSP(OCoLC)on1105928012
000922001 035__ $$aSP(OCoLC)1105928012
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000922001 049__ $$aISEA
000922001 050_4 $$aTK7875
000922001 08204 $$a621.381$$223
000922001 1001_ $$aDi Barba, Paolo,$$eauthor.
000922001 24510 $$aMEMS :$$bfield models and optimal design /$$cPaolo Di Barba, Slawomir Wiak.
000922001 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2020]
000922001 300__ $$a1 online resource :$$billustrations.
000922001 336__ $$atext$$btxt$$2rdacontent
000922001 337__ $$acomputer$$bc$$2rdamedia
000922001 338__ $$aonline resource$$bcr$$2rdacarrier
000922001 4901_ $$aLecture notes in electrical engineering ;$$v573
000922001 504__ $$aIncludes bibliographical references.
000922001 5050_ $$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.
000922001 506__ $$aAccess limited to authorized users.
000922001 520__ $$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.
000922001 588__ $$aOnline resource; title from PDF title page (viewed June 28, 2019).
000922001 650_0 $$aMicroelectromechanical systems.
000922001 650_0 $$aMicroelectromechanical systems$$xDesign and construction.
000922001 650_0 $$aMicroelectromechanical systems$$xMathematical models.
000922001 7001_ $$aWiak, S.$$q(Sławomir),$$eauthor.
000922001 830_0 $$aLecture notes in electrical engineering ;$$v573.
000922001 852__ $$bebk
000922001 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-21496-8$$zOnline Access$$91397441.1
000922001 909CO $$ooai:library.usi.edu:922001$$pGLOBAL_SET
000922001 980__ $$aEBOOK
000922001 980__ $$aBIB
000922001 982__ $$aEbook
000922001 983__ $$aOnline
000922001 994__ $$a92$$bISE