Biomimetic Smart Technology In The Cold Extrusion Process Design Applied Research

Metal forming is a kind of process to form billets into parts with proper shapes, dimensions and mechanical properties, under huge energy and load by utilizing the plasticity of metal materials. Not only can parts with complicated shapes be formed, but the mechanical properties can be promoted after metal forming. Therefore, metal forming plays a great role in national economy, and it is widely used in industries. Nowadays, in order to reduce the subsequent machining and the product cost, metal forming is developed forwards net forming or near-net forming. Cold extrusion process is one of the most important processes of net or near-net forming. The industrial competition is becoming more and more drastic. High quality and efficiency, low cost of product and energy, net forming or near-net forming, environment protection and sustainable development have been becoming the key factors for the manufacturer to win the competition. Cold extrusion process can meet the requirement of economy, technique and society in a certain degree. sion processes. As we all know, process design is the basis of die design. Multi-stage extrusion is often needed in forming complicated parts, so it is the key work to design proper cold extrusion processes. Basically, the cold extrusion process design undergoes three main phases: traditional handcrafted design, computer-aided design and intelligentized design, now the center of research is transferring to the intelligentized design. In this paper, the research focus on improving the intelligence and automatization of cold extrusion design with bionics intelligent ways.Aim at the research of this paper, construing the background and study actuality, discussing the content and meaning of this research. Expounding the base theory and technic support of research, including BP Neural Nets, Fuzzy Theory, GA and IA. On the base of basic knowledge, the resreach uses 3-layer topology fabric BP Nets and the mold of centralized feedback. With the input of technics measure training the Nets to settle the problem by way of cupping cold extrusion workpiece. The result indicates the Nets can resolve the problem of precision in cold extrusion. Combining Fuzzy Theory and BP Nets, on the base of Nets built, fuzzfying the imput and defuzzifying the output with GA. Research the using of IA in cold extrusion and exploring the applications of IAin cold extrusion...