关键词: 换刀决策, 输出功率信息, 质量信息, 刀具磨损, 支持向量机

Abstract: 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.

Key words: tool replacement decision, output power information, quality information, tool wear, support vector machine