... the computational burden associated with analyzing the full layer data, (3) the spatial dependence of these ROIs is modeled using a Gaussian process model, and then pixels with statistically significant deviations are flagged, and (4) using the quantity and the spatial pattern of the flagged pixels as predictors...

... such as lapping and polishing. Therefore, the MRR should be modeled and controlled to maintain the thickness uniformity. In this paper, a PDE-constrained Gaussian process model is developed based on the global Galerkin discretization of the governing partial differential equations (PDEs). Three features...

... 2003 08 07 2004 steel crystal microstructure hardness testing hardness deformation friction X-ray diffraction Gaussian processes quench hardening work hardening turning (machining) Microstructure and hardness change in hard turned surfaces is one important aspect...