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

被引:0
|
作者
Swetlana Herbrandt
Uwe Ligges
Manuel Pinho Ferreira
Michael Kansteiner
Dirk Biermann
Wolfgang Tillmann
Claus Weihs
机构
[1] TU Dortmund,Department of Statistics
[2] TU Dortmund,Institute of Materials Engineering
[3] TU Dortmund,Institute of Machining Technology
来源
Computational Statistics | 2018年 / 33卷
关键词
Noisy Kriging; Augmented expected improvement; MBO;
D O I
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中图分类号
学科分类号
摘要
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.
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页码:1127 / 1143
页数:16
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