Correlation of the process signals during grinding and the resulting workpiece quality

磨削过程中的过程信号与最终工件质量的相关性

• 批准号: 421461390
• 负责人: Professor Dr.-Ing. Berend Denkena
• 金额: --
• 依托单位: Institut für Fertigungstechnik und Werkzeugmaschinen (IFW)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/421461390?language=en
• 关键词: Correlation; process; signals; during; grinding

Modern process monitoring systems are frequently used in industrial manufacturing processes with geometrically determined cutting edge and, for example, enable automated fault detection during the machining process. However, due to the indeterminate geometry and the large number of cutting edges, process monitoring is only used in very specific cases when grinding. The previous knowledge in this area does not allow a direct correlation of the process signals provided by the machine control and the resulting quality of the workpiece. At the same time, more and more measuring signals are available due to the advancing developments in sensor technology and open machine controls of modern machine tools. This ever-increasing amount of process information can help to facilitate process design and to improve the work performance.The existing findings from the current state of art as well as from preliminary work show the potential for the successful use of process monitoring during grinding. However, due to a lack of knowledge about the holistic relationships between the process signals and the manipulated variables of the grinding process, this potential can not yet be exploited and used to predict the grinding result. However, the preliminary investigations have also shown that there is a direct correlation between the process signals and component-describing parameters such as surface roughness or residual stresses. These signals can be recorded using current machine tool controls and measuring systems before evaluating them using statistical methods. For this reason, the goal of this project is to gain knowledge about the correlations between machine environment, process variables, changes in the process signals and the grinding result.

现代过程监测系统经常用于具有几何确定的尖端的工业制造过程中，例如，在加工过程中启用自动故障检测。但是，由于不确定的几何形状和大量切割边缘，过程监测仅在磨削时才在非常具体的情况下使用。该领域的先前知识不允许直接关联机器控制提供的过程信号和工件的质量。同时，由于传感器技术的发展和现代机床的开放机器控制的发展，越来越多的测量信号。这种不断增加的过程信息量可以帮助促进过程设计并改善工作绩效。现有的最新技术以及初步工作的发现表明，在研磨过程中成功使用过程监控的可能性。但是，由于缺乏对过程信号与操纵过程的操纵变量之间整体关系的了解，因此无法利用这种潜力并用于预测磨削结果。但是，初步研究还表明，过程信号与分量描述参数（例如表面粗糙度或残留应力）之间存在直接相关性。在使用统计方法评估它们之前，可以使用当前的机床控制和测量系统记录这些信号。因此，该项目的目的是获得有关机器环境，过程变量，过程信号变化和磨削结果之间相关性的知识。