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Experimental analysis of the surface roughness in the coefficient of friction test

机译:摩擦试验系数中表面粗糙度的实验分析

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摘要

Mechanical wear has its origin in the friction of surfaces under contact and it is characterized for low normal forces by the mean coefficient of friction (COF) test on tribometers. The roughness of the worn surfaces is well established that is independent of the wear. Nevertheless a main hypothesis of this work is the research for evidences of the friction test variability influence on the surface roughness of worn materials in the test. The experimental setup includes the COF test ball-on-flat with steel on titanium and the surface roughness measured with an optical profilometer (confocal microscope) is analyzed. The space domain study of roughness parameters is developed on profiles (1D) and the surface (2D). The correlation study of the variability of the COF test with roughness metrics seeks the most significant roughness parameters. Its coherence and significance to respect the friction process are discussed. The similarities in the surface topography and its link with the COF signal are analyzed in the frequency domain based on power spectral analysis (PSA) from the fast Fourier transformation (FFT). Next, the whole profiles are also decomposed in frequency ranges by wavelet filtering that reveal the traces of the COF test on the surfaces and their similarities in the frequency domain.
机译:机械磨损在接触的表面的摩擦中具有其起源,其特征在于通过曲线计的平均摩擦系数(COF)测试的低正常力。磨损表面的粗糙度很好地建立,与磨损无关。然而,这项工作的主要假设是对摩擦试验变异性对试验中磨损材料表面粗糙度的显着的研究。实验装置包括钛上的COF试验球与钢上的钢,并分析用光学型仪(共聚焦显微镜)测量的表面粗糙度。粗糙度参数的空间域研究是在曲线(1D)和表面(2D)上的。具有粗糙度指标的COF测试可变性的相关性研究寻求最显着的粗糙度参数。讨论了尊重摩擦过程的一致性和意义。基于来自快速傅里叶变换(FFT)的功率谱分析(PSA),在频域分析了表面形貌及其与COF信号的链路。接下来,整个简档也通过小波滤波在频率范围内分解,该小波滤波显示在表面上的COF测试的迹线及其在频域中的相似度。

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