基于功率和质量信息的批量加工换刀决策方法

摘要

Aiming at the disadvantages such as low accuracy,installation difficulties of sensors and high cost of empirical tool replacement methods,predicting tool replacement methods and monitoring tool replacement methods,tool wear characteristics in machining process were analyzed,and the input power based extracting method for machine tool output power information was established.Meanwhile,the complementary property between machine output power and workpiece quality information on tool condition monitoring and tool replacement decision was analyzed.A tool replacement decision method based on machine tool output power information and workpiece quality information was proposed.In machining process,Support Vector Machine (SVM) classification approach was used to distinguish tool condition by analyzing the acquired machine tool input power information and workpiece quality information,and the tool replacement proposal could be developed.A tool replacement decision system was developed on Qt Creator development platform,and the application of the system was implemented successfully in CNC gear hobbing machine,which showed good application prospect.%针对现有的经验换刀法、预测换刀法和监控换刀法存在着准确性差或传感器安装困难、成本高等不足,分析了机床输出功率信息与刀具磨损的关联特性,建立了基于输入功率的机床输出功率信息提取方法;分析了机床输出功率与工件质量信息在监控刀具磨损状态及换刀决策中的互补特性,提出了基于机床输出功率信息和质量信息集成的批量加工过程换刀决策方法.加工过程中只需采集机床输入功率信息和工件质量信息,并通过支持向量机分类法识别刀具磨损状态,就可获得刀具更换方案.在Qt Creator平台上开发了一套换刀决策系统,并在某型号数控滚齿机上进行了验证,展示了该方法的应用前景.