Multi-Quality Precision CNC Manufacturing Optimization with TRIZ Inventive Game

Abstract To obtain an optimal cutting process in the Computer Numerical Control (CNC), the multiple-quality production optimization decision is proposed by utilizing the tool nose run-off, the feed rate and the cutting depth as the control parameters. Four control factors that affect cutting quality will be examined: surface roughness, tool wear, material removal rate, and the cutting noise. Triz theory used in this study will define improved or depraved factors and then be substituted for the four objective aspects to construct the contradiction matrix table. Using the corresponding 40 inventive rules of Triz in the contradiction matrix table, the best decision in Triz will be found. The Triz single property principle is utilized to check the table to discover the cutting strategy order and to sort the game matrix. The Fahp is adopted to design a questionnaire. With this questionnaire, the weight of each factor and objective will be obtained. The weight of each factor is then used to classify the priority of each objective and factor. The strategy obtained from the Triz will be substituted into the multi-agent decision model of game theory. Consequently, this achieves an Optimized Multiple-quality Production of cutting that provides a standard for the cutting domain.