一种表面微观形貌的主动重构方法

周炜; 肖罡; 唐进元

doi:10.13433/j.cnki.1003-8728.20200200

一种表面微观形貌的主动重构方法

doi: 10.13433/j.cnki.1003-8728.20200200

1.
湖南科技大学难加工材料高效精密加工湖南省重点实验室, 湖南湘潭 411201
2.
中南大学高性能复杂零件制造国家重点实验室, 长沙 410083

基金项目:

国家自然科学基金项目 51705142

国家自然科学基金项目 51535012

湖南省自然科学基金项目 2018JJ3162

详细信息

作者简介:
周炜(1985-), 博士, 研究方向为表面摩擦学、结构疲劳与断裂, cnihelat@163.com

中图分类号: TH117.1
计量
- 文章访问数: 198
- HTML全文浏览量: 41
- PDF下载量: 30
- 被引次数: 0
出版历程
- 收稿日期: 2020-03-04
- 刊出日期: 2021-10-09

Active Reconstruction Method of Surface Micro-topography

1.
Hunan Provincial Key Laboratory of High Efficiency and Precision Machining of Difficult-to-Cut Material, Hunan University of Science and Technology, Xiangtan 411201, Hu′nan, China
2.
State Key Laboratory of High Performance Complex Manufacturing, Central South University, Changsha 410083, China

摘要

摘要: 基于随机过程理论对机械零件表面微观形貌重构，所得形貌在全局上满足高度与自相关两统计分布，但不能对局部形貌进行预测与控制，给界面性能有效预测带来了困难。针对此难题，提出基于高度与自相关分布等效原理，以兴趣点作为目标点、兴趣点相邻点作为普通点，以目标表面斜率、曲率等为约束条件，通过交换目标点高度、对普通点进行高度重排，实现对随机形貌样本的主动重构。研究了两种具体实施算法及其效果，展示了所提方法在接触分析中的潜在应用。
- 表面形貌 /
- 粗糙度 /
- 粗糙表面重构 /
- 表面分析
Abstract: Although the height distribution and auto-correlation distribution can be satisfied, local topography cannot be predicted and controlled in the simulation of surface topography, in terms of the random process theory. This brings difficulties to the effective prediction of interface performance. To address the problem, an active reconstruction method of randomly reconstructed topography is introduced on the basis of the equivalence of height distribution and auto-correlation distribution. To do this, the interested sampling points are set as target points for height exchange, and the points adjacent to the interested sampling points, are chosen as common points for height rearrangement. Besides, the surface statistical characteristics, such as the slope and curvature distribution, are taken as the simulation constraints. Two implementation algorithms and their effectiveness are studied, and the application to contact analysis of the present method are discussed briefly.
- surface topography /
- surface roughness /
- rough surface reconstruction /
- surface analysis

HTML全文

图 1 随机形貌样本

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图 2 兴趣点高度主动重构示意图

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图 3 PPC算法重构流程

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图 4 IR算法重构流程

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图 5 不同算法自相关分布对比

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图 6 重构形貌与样本形貌自相关分布对比

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图 7 可行解与样本形貌自相关分布对比

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图 8 可行解对应局部形貌(目标点+普通点)

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图 9 重构形貌随目标点交换变化过程

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图 10 光滑曲面下赫兹接触压力分布

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图 11 不同局部形貌下接触压力分布(ρ₁=500 μm, ρ₂=1 250 μm)

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图 12 不同局部形貌下接触压力分布(ρ₁=250 μm, ρ₂=1 250 μm)

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表 1 不同算法重构精度与效率对比

算法	累计误差	计算量
PPC	0.030 4	40 320
IR-2	0.031 3	924
IR-4	0.030 2	369 600

下载: 导出CSV

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