Modeling of rough surfaces with given roughness parameters

被引：0

作者：

周炜 ^{[1
]}

唐进元 ^{[2
,3
]}

何艳飞 ^{[2
,3
]}

朱才朝 ^{[4
]}

机构：

[1] Intelligent Manufacturing Institute(Hunan Provincial Key Laboratory of High Efficiency and Precision Machining of Difficult-to-Cut Material),Hunan University of Science and Technology

[2] State Key Laboratory of High Performance Complex Manufacturing,Central South University

[3] School of Mechanical and Electrical Engineering,Central South University

[4] State Key Laboratory of Mechanical Transmission,Chongqing University

来源：

JournalofCentralSouthUniversity | 2017年 / 24卷 / 01期

基金：

中国国家自然科学基金;

关键词：

micro topography; rough surface; roughness; active modeling;

D O I：

暂无

中图分类号：

TH122 [机械设计];

学科分类号：

摘要：

Modeling of rough surfaces with given roughness parameters is studied,where surfaces with Gaussian height distribution and exponential auto-correlation function(ACF) are concerned.A large number of micro topography samples are randomly generated first using the rough surface simulation method with FFT.Then roughness parameters of the simulated roughness profiles are calculated according to parameter definition,and the relationship between roughness parameters and statistical distribution parameters is investigated.The effects of high-pass filtering with different cut-off lengths on the relationship are analyzed.Subsequently,computing formulae of roughness parameters based on standard deviation and correlation length are constructed with mathematical regression method.The constructed formulae are tested with measured data of actual topographies,and the influences of auto-correlation variations at different lag lengths on the change of roughness parameter are discussed.The constructed computing formulae provide an approach to active modeling of rough surfaces with given roughness parameters.

引用

页码：127 / 136

页数：10

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