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Development of Intellingent Machine Tools with Fault Recovery Function Using Sensor Fusion

利用传感器融合开发具有故障恢复功能的智能机床

基本信息

批准号：
02505002
负责人：
IWATA Kazuaki
金额：
$ 24.77万
依托单位：
Osaka University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Developmental Scientific Research (A)
财政年份：
1990
资助国家：
日本
起止时间：
1990 至 1991
项目状态：
已结题

项目摘要

The results of this research are summarized as shown below.1) A new cutting simulation system based on the geometric models with boundary representations is developed so as to predict cutting forces more precisely. To utilize the results of cutting simulation, the concept of cutting scenarios and their automatic generation method are proposed for using real-time control.2) By fusing model information and sensor information provided by cutting scenarios, the methodology for in-process fault diagnosis and recovery planning based on the diagnosis result are discussed. With respect to fault diagnosis, following methods are developed.a) Diagnosis of machine tool fault with machine information in operationb) Diagnosis of tool and work by comparing cutting force patterns obtained from sensors and simulation resultC) Automated generation of measuring programs in order to investigate the diagnosis.3) The Experimental System which constitutes of a machining center, a control computer, a sensors-signal processing computer, and a simulation workstation. Real-time communication between the machining center and the control computer is realized so that control commands ana machine status can be easily exchanged. This makes it possible that the control computer can control the machining center in the flexible way by integrating information from other computers.4) By carrying out the cutting experiments with end-mills and drilling tools, the effectiveness of the entire system and the fault monitoring and diagnosis method is confirmed.

本文的主要研究成果如下：1）为了更准确地预测切削力，开发了基于边界表示的几何模型的切削仿真系统。为充分利用切削仿真结果，提出了切削场景的概念及其自动生成方法，以实现实时控制。2）通过融合切削场景提供的模型信息和传感器信息，探讨了基于诊断结果的在线故障诊断和修复规划方法。在故障诊断方面，提出了以下方法：a）利用机床运行中的机床信息诊断机床故障; b）通过比较传感器获得的切削力模式和仿真结果诊断刀具和工件; c）自动生成测量程序以研究诊断; 3）由加工中心、控制计算机、传感器-信号处理计算机和模拟工作站。实现了加工中心与控制计算机之间的实时通信，方便地交换控制命令和机床状态。这使得控制计算机可以通过集成其他计算机的信息以灵活的方式控制加工中心。4）通过对立铣刀和钻削刀具的切削实验，验证了整个系统和故障监测与诊断方法的有效性。