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Cutting Tool Crater Wear Measurement in Turning Using Chip Geometry and Genetic Programming

机译:使用切屑几何形状和遗传编程的车削中的刀具陨石坑磨损测量

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摘要

Tool wear prediction plays an important role in industry automation for higher productivity and acceptable product quality. Therefore, in order to increase the productivity of turning process, various researches have been made recently for tool wear estimation and classification in turning process. Chip form is one of the most important factors commonly considered in evaluating the performance of machining process. On account of the effect of the progressive tool wear on the shape and geometrical features of produced chip, it is possible to predict some measurable machining outputs such as crater wear. According to experimentally performed researches, cutting speed and cutting time are two extremely effective parameters which contribute to the development of the crater wear on the tool rake face. As a result, these parameters will change the chip radius and geometry. This paper presents the development of the genetic equation for the tool wear using occurred changes in chip radius in turning process. The development of the equation combines different methods and technologies like evolutionary methods, manufacturing technology, measuring and control technology with the adequate hardware and software support. The results obtained from genetic equation and experiments showed that obtained genetic equations are correlated well with the experimental data. Furthermore, it can be used for tool wear estimation during cutting process and because of its parametric form, genetic equation enables us to analyze the effect of input parameters on the crater wear parameters.
机译:刀具磨损预测在工业自动化中起着重要作用,以提高生产率和可接受的产品质量。因此,为了提高车削加工的生产率,近来针对车削加工中的工具磨损估计和分类进行了各种研究。切屑形状是评估加工性能时通常考虑的最重要因素之一。考虑到渐进式刀具磨损对所生产切屑的形状和几何特征的影响,可以预测一些可测量的加工输出,例如月牙洼磨损。根据实验研究,切削速度和切削时间是两个非常有效的参数,它们有助于工具前刀面的月牙洼磨损的发展。结果,这些参数将改变切屑半径和几何形状。本文利用车削过程中切屑半径的变化,提出了刀具磨损的遗传方程式。该方程式的发展结合了不同的方法和技术,例如进化方法,制造技术,测量和控制技术以及足够的硬件和软件支持。遗传方程和实验结果表明,所得遗传方程与实验数据具有很好的相关性。此外,它可以用于切削过程中的刀具磨损估计,由于其参数形式,遗传方程式使我们能够分析输入参数对弹坑磨损参数的影响。

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