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Study on Effect of Tool Nose Radius Wear on Hybrid Roughness Parameters during Turning Using Vision-Based Approach

机译:基于视觉的方法转向刀鼻径磨损对混合粗糙度参数的影响研究

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In the past, most researchers have investigated the effect of tool flank wear on the average roughness parameter (Ra) during turning. The Ra parameter, however, is sensitive only to the height variations of the machined workiece profile and is insensitive to the spatial changes to the profile caused by gradual increase in tool wear. In this work, a non-contact vision-based method was used to investigate the effect of tool nose radius wear on the hybrid surface roughness parameters during finish turning. The roughness profile of the workpiece surface diametrically opposite the cutting tool was captured during turning of AISI 1035 steel using a digital camera. A high shutter speed (1/4000 s) was used to freeze the motion of the rotating spindle and obtain a blur-free image of the workpiece. The edge of the workpiece profile was extracted to sub-pixel accuracy using the grey level invariant moment method. The hybrid surface roughness parameters were determined from the workpiece profile. The effect on increased nose wear area on these parameters were investigated. Among these roughness parameters the mean wavelength (Rxa) parameter showed the best correlation with tool nose radius wear with coefficients of determination of 0.9734.
机译:在过去,大多数研究人员在转弯期间调查了工具侧面磨损对平均粗糙度参数(RA)的影响。然而,RA参数仅敏感到加工工件谱的高度变化,并且对通过逐渐增加工具磨损引起的轮廓的空间变化不敏感。在这项工作中,使用非接触视觉的方法来研究刀鼻径磨损在结束转动期间刀具鼻径磨损的影响。在使用数码相机的AISI 1035钢的转动期间捕获工件表面的粗糙度曲线径向与切割工具相对。使用高快门速度(1/4000 s)来冻结旋转主轴的运动并获得工件的无模糊图像。使用灰度不变时刻方法提取工件轮廓的边缘至子像素精度。从工件型材确定混合表面粗糙度参数。研究了对这些参数上增加的鼻磨损区域的影响。在这些粗糙度参数中,平均波长(RXA)参数显示出与刀尖半径磨损的最佳相关性,其测定系数为0.9734。

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