Surface roughness prediction based on cutting parameters and tool vibrations in turning operations
Surface roughness prediction based on cutting parameters and tool vibrations in turning operations
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DOI：
10.1016/s0924-0136(01)00959-1
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发表时间：
2001-12-03
影响因子：
6.3
通讯作者：
Mádl, J
中科院分区：
文献类型：
--
作者：
Abouelatta, OB;Mádl, J
在机械加工中，表面光洁度的质量是许多被加工工件的重要要求。因此，选择优化的切削参数对于控制所需的表面质量是非常重要的。本研究的重点是找到表面粗糙度和切削振动车削之间的相关性，并根据切削参数和机床振动推导出预测粗糙度参数的数学模型。使用FFT分析仪测量刀具在径向和进给方向上的振动。使用Surtronic 3+测量仪器测量表面粗糙度。借助商业软件包MATLAB、BC++和SPSS对测量结果进行收集和分析。该方法可用于预测作为切削参数和刀具振动的函数的粗糙度参数。(C)2001 Elsevier Science B.V.保留所有权利。
In machining operation, the quality of surface finish is an important requirement for many tamed workpieces. Thus, the choice of optimized cutting parameters is very important for controlling the required surface quality. The focus of the present study is to find a correlation between surface roughness and cutting vibrations in turning, and to derive mathematical models for the predicted roughness parameters based both on cutting parameters and machine tool vibrations. An FFT analyzer was used to measure tool vibrations in radial and feed directions. The surface roughness was measured using a Surtronic 3+ measuring instrument. The measured results were collected and analyzed with the aid of the commercial software packages MATLAB, BC++ and SPSS. The method could be useful in predicting roughness parameters as a function of cutting parameters and tool vibrations. (C) 2001 Elsevier Science B.V. All rights reserved.