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001 | 291208 | ||
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005 | 20160429154836.0 | ||
007 | cr nn 008mamaa | ||
008 | 150903s2009 xxk| o |||| 0|eng d | ||
020 |
_a9781848002975 _99781848002975 |
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024 | 7 |
_a10.1007/9781848002975 _2doi |
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035 | _avtls000344260 | ||
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_a201509030405 _bVLOAD _c201405050304 _dVLOAD _y201402061252 _zstaff |
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_aMX-SnUAN _bspa _cMX-SnUAN _erda |
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050 | 4 | _aTJ241 | |
100 | 1 |
_aMuralikrishnan, Bala. _eautor _9322394 |
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245 | 1 | 0 |
_aComputational Surface and Roundness Metrology / _cby Bala Muralikrishnan, Jay Raja. |
264 | 1 |
_aLondon : _bSpringer London, _c2009. |
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300 | _brecurso en línea. | ||
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_atexto _btxt _2rdacontent |
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_acomputadora _bc _2rdamedia |
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_arecurso en línea _bcr _2rdacarrier |
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_aarchivo de texto _bPDF _2rda |
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500 | _aSpringer eBooks | ||
505 | 0 | _aFiltering -- A Brief History of Filtering -- Filtering in the Frequency Domain -- Filtering in the Time Domain -- Gaussian Filter -- The 2RC Filter -- Filtering Roundness Profiles -- Filtering 3D Surfaces -- Advanced Filtering -- Gaussian Regression Filters -- Spline Filter -- Robust Filters -- Envelope and Morphological Filters -- Multi-scale Filtering -- Fitting -- to Fitting Substitute Geometry -- Least-Squares Best-Fit Line and Plane -- Non-linear Least-Squares I: Introduction -- Non-linear Least-Squares II: Circle, Sphere, and Cylinder -- Fitting Radius-Suppressed Circle Data -- Exchange Algorithms for Minimum Zone -- Reference Circle-Fitting Using Linear Programming Simplex -- Parameterization -- Surface Finish Parameters I: Amplitude, Spacing, Hybrid, and Shape -- Surface Finish Parameters II: Autocorrelation, Power Spectral Density, Bearing Area -- 3D Surface Texture Parameters -- Errors and Uncertainty -- Uncertainty Considerations -- Uncertainty Propagation in Computations -- Error Separation Techniques in Roundness Metrology -- Other Relevant Topics. | |
520 | _aComputational Surface and Roundness Metrology provides an extraordinarily practical and hands-on approach towards understanding the diverse array of mathematical methods used in surface texture and roundness analysis. The book, in combination with a mathematical package or programming language interface, provides an invaluable tool for experimenting, learning, and discovering the many flavors of mathematics that are so routinely taken for granted in metrology. Whether the objective is to understand the origin of that ubiquitous transmission characteristics curve of a filter we see so often yet do not quite comprehend, or to delve into the intricate depths of a deceptively simple problem of fitting a line or a plane to a set of points, Computational Surface and Roundness Metrology describes it all (in exhaustive detail) using examples, illustrations, exercises, and a link to some of the finest publications in the field for over half a century. From the graduate student of metrology to the practicing engineer on the shop floor, Computational Surface and Roundness Metrology is a must-have reference for all involved in metrology, instrumentation/optics, manufacturing, and electronics. | ||
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
700 | 1 |
_aRaja, Jay. _eautor _9322395 |
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710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
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776 | 0 | 8 |
_iEdición impresa: _z9781848002968 |
856 | 4 | 0 |
_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84800-297-5 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
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