Abstract
The remanufacturing process of an injection molding machine is a key link that affects the remanufacturing process of an injection molding machine. Uncertainties such as damage form and degree of damage will increase the difficulty of remanufacturing repair process technology and process parameter selection. To this end, this article is based on the failure characteristics of injection molding machine parts, first establishes the failure feature fault tree extraction model of used parts, and uses damage to describe the failure characteristics such as wear, fracture and corrosion. This paper establishes a mathematical model of damage, and then uses Fuzzy comprehensive evaluation method is used to establish a quantitative scoring table for the failure characteristics of waste parts of injection molding machines. Afterwards, a directed graph is used to indicate the priority relationship between the failure feature processing elements, and finally the genetic-neural network algorithm is used to optimize the remanufacturing process route in combination with the remanufacturing time and cost to realize the optimized design of the remanufacturing process of the injection molding machine parts.
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