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一种用于磨削表面微观形貌的新型模拟方法。

A Novel Simulation Method of Micro-Topography for Grinding Surface.

作者信息

An Qi, Suo Shuangfu, Bai Yuzhu

机构信息

Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China.

出版信息

Materials (Basel). 2021 Sep 7;14(18):5128. doi: 10.3390/ma14185128.

Abstract

A novel simulation method of microtopography for grinding surface was proposed in this paper. Based on the theory of wavelet analysis, multiscale decomposition of the measured topography was conducted. The topography was divided into high frequency band (HFB), theoretical frequency band (TFB), and low frequency band (LFB) by wavelet energy method. The high-frequency and the low-frequency topography were extracted to obtain the digital combination model. Combined with the digital combination model and the theoretical topography obtained by geometric simulation method, the simulation topography of grinding surface can be generated. Moreover, the roughness parameters of the measured topography and the simulation topography under different machining parameters were compared. The maximum relative error of , , and were 1.79%, 2.24%, 4.69% and 4.73%, respectively, which verifies the feasibility and accuracy of the presented method.

摘要

本文提出了一种新型的磨削表面微观形貌仿真方法。基于小波分析理论,对测量得到的形貌进行多尺度分解。通过小波能量法将形貌划分为高频带(HFB)、理论频带(TFB)和低频带(LFB)。提取高频和低频形貌以获得数字组合模型。结合数字组合模型和通过几何仿真方法得到的理论形貌,可生成磨削表面的仿真形貌。此外,还比较了不同加工参数下测量形貌和仿真形貌的粗糙度参数。(R_a)、(R_q)、(R_{sk})和(R_{ku})的最大相对误差分别为1.79%、2.24%、4.69%和4.73%,这验证了所提方法的可行性和准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd9/8470869/86c108ca473b/materials-14-05128-g001.jpg

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