Design of Die-Casting Die for Engine Cylinder Head Based on 3D Printing and Genetic Algorithm

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Abstract

In view of the structural characteristics and process requirements of the aluminum alloy die casting of the engine cylinder head cover, proposed the design of die-casting die for engine cylinder head based on 3D printing and genetic algorithm, the structural characteristics of the engine cylinder head are introduced and the process analysis is carried out, choose the bottom large plane for assembly datum as the parting surface, the whole set of mold adopts inlay structure in structure, and adopt the oblique stop positioning method. An efficient engine cylinder head design is described for better functioning and long-lasting performance. The operation is easy and safe, the product deforms smoothly, and the mould work is consistent and dependable; it can fulfill continuous production needs, and the product's appearance and interior quality meet design criteria. By installing a stepped crescent-shaped splash block, it can effectively prevent molten metal from splashing and hurting people along the exhaust groove. Realize analog evolution calculations such as binary coding and real-value coding. The encoding method is binary encoding, the population size is 20, the crossover probability is 0.9, and the mutation probability is 0.1, the ending algebra is 300. In the random plan, the connection between parts is 3000, after using genetic algorithm for optimization, the connection of parts is minimized, is 387, the corresponding division scheme is optimal. In use, the operation is convenient and safe, the product is remolded smoothly, and the mold work is stable and reliable, it can meet the requirements of continuous production, and the appearance and internal quality of the product meet the design requirements.

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APA

Zhao, W., He, C., Gill, R., Jawarneh, M., & Shabaz, M. (2023). Design of Die-Casting Die for Engine Cylinder Head Based on 3D Printing and Genetic Algorithm. Computer-Aided Design and Applications, 20(S3), 190–199. https://doi.org/10.14733/cadaps.2023.S3.190-199

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