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Wear Monitoring of Steel Ball of a CNC Machining Centre by using Surface Roughness of Finished Test Pieces

机译:使用成品试验片的表面粗糙度磨损CNC加工中心钢球的监控

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Currently, there are several methods for indicating wear of the steel ball and screw shaft components of CNC machining centres. These include wear prediction of the steel ball and screw shaft of the ball screw by using the value of backlash. This value, generally, has to be determined using expensive equipment such as a laser interferometer or a ball bar. In order to reduce the monitoring cost of ball screw wear, especially steel ball wear, a new monitoring technique is introduced. This technique was developed from a correlation between steel ball wear and the surface roughness of the machined surface of a test piece. In this research, the balls were subjected to artificial wear which were achieved by using a barrel tumbling process. Experimental results indicated that ball wear causes increase in surface roughness of a machined test piece. Employing these results, an equation for estimating steel ball wear was developed. Research results also showed that this new technique can reduce monitoring cost significantly compared with the cost of conventional methods.
机译:目前,有几种方法可以指示CNC加工中心的钢球和螺杆部件的磨损。这些包括使用间隙的值,包括滚珠丝杠的钢球和螺杆轴的磨损预测。通常必须使用诸如激光干涉仪或球杆的昂贵设备来确定该值。为了降低滚珠丝杠磨损的监测成本,尤其是钢球磨损,介绍了一种新的监控技术。该技术是从钢球磨损和试验片机加工表面的表面粗糙度之间的相关性开发的。在该研究中,通过使用桶形翻滚方法实现球的人工磨损。实验结果表明,球磨导致加工试验片的表面粗糙度增加。采用这些结果,开发了一种估计钢球磨损的等式。研究结果还表明,与常规方法的成本相比,这种新技术可以显着降低监测成本。

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