The additive printing of warp-knitted vamp is a manufacturing process forming the complex three-dimensional pattern with a thickness of 0.8 mm or more through dozens of overprinting and superimposition-printing on the warp-knitted spacer fabrics. It is conducted by hands in most enterprises, and it is difficult to meet the demand for high-end products. This paper aims at building up automatic printing equipment, promoting the shoemaking technology and automation level to. Four key mechanisms such as printing mechanism, alignment platform, locating mechanism, and transport mechanism are designed to assemble additive printing equipment. Subsequently, Failure Mode and Effect Analysis (FMEA) method are used to analyze the reliability of additive printing equipment to obtain the failure mode and risk priority number, which provided a theoretical basis for equipment optimization and maintenance. Furthermore, this paper proposes to fuse orthogonal experiments, Support Vector Machine for Regression (SVR) and Genetic Algorithm (GA) to establish the optimizing model for predicting the optimal process parameters to solve problem of artificial experience dependence. The developed equipment and matched process parameters are used to produce warp-knitted vamp that fully meets the requirements of tensile strength, flexometer and hydrolysis testes.
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