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020 _a9783030054441
024 7 _a10.1007/978-3-030-05444-1
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aT56
_b2019 EB
100 1 _aNguyen-Schäfer, Hung.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_998144
245 1 0 _aComputational Tapered and Cylinder Roller Bearings
_cby Hung Nguyen-Schäfer.
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2019.
300 _a1 recurso en línea (IX, 114 páginas)
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aEngineering (Springer-11647)
505 0 _aTapered Roller Bearings -- Cylinder Roller Bearings -- Loads Acting on Gears and Bearings -- Bearing Endplay over Operating Temperatures -- Accelerated Load Spectrum -- Solving Nonlinear Equation Systems.
520 3 _aThis monograph presents computational models that describe electro-mechanical characteristics of tapered and cylinder roller bearings in various industrial applications. Applying the Levenberg-Marquardt's algorithm to solving strongly nonlinear coupled equation systems, the computational models consisting of many circular slices per rolling element enable computations of the local Hertzian pressures at the elastohydrodynamic (EHD) contact area, the relating oil-film thickness in elastohydrodynamic lubrication (EHL), the limiting voltage of electro-pitting, bearing frictions, and fatigue lifetimes of the bearings for various load spectra. Using the best-known machine-learning method for clustering, the load spectrum is clustered in k cluster means based on the invariant damage number to accelerate the load spectrum. Furthermore, the accelerated load spectrum is used for the testing procedure of the bearings to reduce the testing time and costs as well. The target audience of this book primarily comprises graduate students in mechanical engineering and practicing engineers of electro-machines and transmission systems who want to computationally design tapered and cylinder roller bearings for the automotive industry and other industries, and to deeply dive into these relating working fields.
650 7 _2embne
_9143360
_aIngeniería industrial
776 0 8 _iPrinted edition:
_z9783030054434
776 0 8 _iPrinted edition:
_z9783030054458
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-05444-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aPrimersemestre_2019_Engineering
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b10/2019
_ejf
_zSI