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本文提出了根据工件的加工误差判别和诊断机加工过程故障的一种理论方法。在加工过程中,工件的加工误差主要是由刀具的磨损、破损、工件一刀具受热变形、工艺系统的颤振等故障而引起的。如果能够确定工艺系统的这些故障与工件加工误差之间的关系,则便可应用这些关系并通过实时检测工件的加工误差反过来判别和诊断工艺系统的这些故障。本文描述依据这一原理并应用人工智能的理论和方法以发现和诊断机加工过程的故障。研究表明,这种方法是有效及实用的。
This paper presents a theoretical method based on the machining error of the workpiece and the fault diagnosis of the machining process. In the process of machining, the machining error of the workpiece is mainly caused by the wear and tear of the tool, the thermal deformation of the workpiece and a tool, the flutter of the process system, and the like. If these relationships between process faults and workpiece machining errors can be determined, the relationships can be applied and the faults of the process system can be discriminated and diagnosed in real time by detecting the machining errors of the workpiece. This article describes theories and methods based on this principle and applying artificial intelligence to discover and diagnose faults in the machining process. Research shows that this method is effective and practical.