Computational Surface and Roundness Metrology - Balasubramanian Muralikrishnan

Computational Surface and Roundness Metrology

By: Balasubramanian Muralikrishnan, Jayaraman Raja

Paperback | 13 October 2010

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Introduction Part I: Filtering A Brief History of Filtering Filtering in Frequency Domains Time Domain Filtering Gaussian Filter 2RC Filter Filtering Roundness Profiles Filtering 3D Surfaces Part II: Advanced Filtering Gaussian Regression Filters Spline Filter Robust Filters Envelope and Morphological Filters Multi-scale Filtering Part III: Fitting Introduction 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 Part IV: Parameterization Surface Texture Parameters I: Amplitude, Spacing, Hybrid and Shape Surface Texture Parameters II: Autocorrelation, Power Spectral Density, Bearing Area 3D Surface Texture Parameters Part V: Errors and Uncertainty Uncertainty Considerations Uncertainty Propagation in Computations Error Separation Techniques in Roundness Metrology Other Relevant Topics
Industry Reviews

Computational Surface and Roundness Metrology can be used for final-year undergraduate engineering courses (for example, manufacturing, mechanical, etc.) or as a subject on manufacturing at postgraduate level. Also, this book can serve as a useful reference for academics, manufacturing researchers, mechanical and manufacturing engineers, and professionals in related industries with manufacturing, quality, and surface and roundness metrology.

J. Paul Davim (from the International Journal of Mechatronics and Manufacturing Systems)

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