Relating fractal dimension with roughness parameters in brass turning

T. K. Barman
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引用次数: 0

Abstract

The present work describes the evaluation of the conventional roughness parameters and fractal dimensions of the surface profiles generated by turning of brass with different machining conditions such as depth of cut, work-piece speed and feed rate. The surface roughness parameters on the generated-turned surfaces were measured with a stylus-type profilometer and processed through the dedicated advanced surface finish analysis software Talyprofile for evaluation of the roughness parameters and fractal dimension. Parameters used in the present investigation are: Vertical parameters – Ra (CLA, m) and Rq (RMS, m), Transverse parameters – Rsm (mean line peak spacing, m), Peak shape and amplitude parameters – Rsk (skewness), Rku (kurtosis) and Fractal parameter – D (fractal dimension). The significant machining parameters for different roughness parameters and fractal dimension are found using ANOVA. The measured values of conventional roughness parameters and fractal dimension are correlated by non-linear regression analysis using fifth order polynomial model.
分形维数与黄铜车削粗糙度参数的关系
本文描述了在切削深度、工件速度和进给速度等不同加工条件下,对黄铜车削表面轮廓的常规粗糙度参数和分形维数进行了评价。采用触笔式轮廓仪测量加工后的表面粗糙度参数,并利用专用的高级表面光洁度分析软件Talyprofile对加工后的表面粗糙度参数和分形维数进行评价。本研究中使用的参数有:垂直参数Ra (CLA,m)和Rq (RMS,m),横向参数Rsm(平均线峰间距,m),峰形和振幅参数Rsk(偏度),Rku(峰度)和分形参数D(分形维数)。利用方差分析找到了不同粗糙度参数和分形维数下的显著加工参数。采用五阶多项式模型对常规粗糙度参数测量值与分形维数进行非线性回归分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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