Surface Roughness Prediction Based on Cutting Parameters and Nose Radius in Precision Turning
Surface Roughness Prediction Based on Cutting Parameters and Nose Radius in Precision Turning
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DOI：
10.4028/www.scientific.net/kem.329.539
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发表时间：
2007-01
期刊：
影响因子：
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通讯作者：
Yingchun Liang;Y. Zhai;H.X. Wang;Q. Bai;Y. Zhao
中科院分区：
文献类型：
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作者：
Yingchun Liang;Y. Zhai;H.X. Wang;Q. Bai;Y. Zhao
在精密车削中，表面光洁度质量是被加工工件的重要要求。因此，选择最佳切削参数对于控制所需的表面质量非常重要。本研究的重点是找到车削3J33马氏体时效钢时表面粗糙度与切削参数（进给量、切削深度）和刀尖半径之间的相关性，并推导出基于切削参数和刀尖半径的预测表面粗糙度的数学模型。实验设计采用二次旋转组合设计进行。回归分析表明，进给速度和刀尖半径对表面粗糙度影响显着。通过 F 比测试，所提出的模型是足够的。该方法可用于预测作为切削参数和刀尖半径函数的粗糙度参数。
In precision turning, the quality of surface finish is an important requirement for machined workpiece. Thus, the choice of optimal 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 parameters (feed rate, depth of cut) and nose radius in turning 3J33 maraging steel, and to derive mathematical models for the predicted surface roughness based on both of cutting parameters and nose radius. The experimental design is carried out using the quadratic rotary combination design. The regression analysis shows feed rate and nose radius influence surface roughness significantly. With F-ratio test the proposed model is adequate. The method could be useful in predicting roughness parameters as a function of cutting parameters and nose radius.