Research progress of intelligent optimization design of manufacturing process parameters

Process parameters are the key factors affecting the forming quality, performance, efficiency and cost of parts. The intelligent optimization design of process parameters is the basic task of current intelligent manufacturing. According to the analysis of the research hotspots and literature on intelligent optimization design of process parameters in recent years, the method of intelligent optimization design of process parameters is divided into three categories, including intelligent optimization design based on neural network, explicit mathematical model and intelligent algorithms, and expert system (knowledge), Then, the research progress and features of the three methods are analyzed, their advantages and disadvantages are summarized and compared, and the development trend of intelligent optimization design of process parameters in the future is proposed. It can provide a basis and direction guidance for the research on intelligent optimization of process parameters.