Model based optimization of a statistical simulation model for single diamond grinding

We present a model for simulating normal forces arising during a grinding process in cement for single diamond grinding. Assuming the diamond to have the shape of a pyramid, a very fast calculation of force and removed volume can be achieved. The basic approach is the simulation of the scratch track...

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Bibliographic Details
Published in:Computational statistics 2018-09, Vol.33 (3), p.1127-1143
Main Authors: Herbrandt, Swetlana, Ligges, Uwe, Ferreira, Manuel Pinho, Kansteiner, Michael, Biermann, Dirk, Tillmann, Wolfgang, Weihs, Claus
Format: Article
Language:English
Subjects:
Approximation
Computer simulation
Cutting parameters
Deviation
Diamond machining
Economic Theory/Quantitative Economics/Mathematical Methods
Grinding
Kriging interpolation
Mathematical models
Mathematics and Statistics
Optimization
Original Paper
Probability and Statistics in Computer Science
Probability Theory and Stochastic Processes
Statistics
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Summary:We present a model for simulating normal forces arising during a grinding process in cement for single diamond grinding. Assuming the diamond to have the shape of a pyramid, a very fast calculation of force and removed volume can be achieved. The basic approach is the simulation of the scratch track. Its triangle profile is determined by the shape of the diamond. The approximation of the scratch track is realized by stringing together polyhedra. Their sizes depend on both the actual cutting depth and an error implicitly describing the material brittleness. Each scratch track part can be subdivided into three three-dimensional simplices for a straightforward calculation of the removed volume. Since the scratched mineral subsoil is generally inhomogeneous, the forces at different positions of the workpiece are expected to vary. This heterogeneous nature is considered by sampling from a Gaussian random field. To achieve a realistic outcome the model parameters are adjusted applying model based optimization methods. A noisy Kriging model is chosen as surrogate to approximate the deviation between modelled and observed forces. This deviation is minimized and the results of the modelled forces and the actual forces from conducted experiments are rather similar.
ISSN:0943-4062
1613-9658
DOI:10.1007/s00180-016-0669-z