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Modeling and generation of 3-D random surface roughness data by the non-causal 2-D AR model (Part 3): application to anisotropic surface roughness

机译:通过非因果的2-D AR模型建模和生成3-D随机表面粗糙度数据(第3部分):在各向异性表面粗糙度上的应用

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摘要

This paper describes modeling and generation of anisotropic surfaces with the non-causal two-dimensional auto-regressive (2-D AR) model for tribological direct simulations. Two types of anisotropic surfaces, an ordinary ground surface and a crosshatched ground surface measured by a stylus system, are modeled and generated with the non-causal 2-D AR model. The causal 2-D AR model is also applied to make a comparison between the causal model and the non-causal model. The ordinary ground surface is well simulated with both the causal model and the non-causal model about height probability density function, auto-correlation coefficient, summit density, average slope of roughness, etc. But the radius of curvature of the grinding direction showed differences from the measured value. In the case of the crosshatched ground surface, it is shown that only the non-causal model can represent two directional low frequency components.
机译:本文介绍了用于摩擦学直接模拟的非因果二维自回归(2-D AR)模型的各向异性表面的建模和生成。使用非因果二维AR模型建模并生成两种类型的各向异性表面,即普通的地表表面和通过触控笔系统测量的剖面线的地表表面。因果二维AR模型也可用于在因果模型和非因果模型之间进行比较。使用因果模型和非因果模型对普通地面进行了很好的模拟,包括高度概率密度函数,自相关系数,山顶密度,粗糙度的平均斜率等。但磨削方向的曲率半径存在差异从测量值。在交叉影线的地面情况下,表明只有非因果模型可以表示两个方向的低频分量。

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