The shape of the outer contour of the non-circular elongated part is not formed by the rotation of the bus bar around the axis. The first condition for the optimal design of this kind of mold is to avoid the lateral accumulation of materials or breakage due to excessive thinning. By discussing the three transition modes for deep drawing of non-circular elongated parts, namely oval transition, elliptical transition, and circular transition, it is determined that circular transition is adopted, from circular blank to cylindrical, and then to Oval, finally to oblong pieces, The number of times of drawing and the process parameters of each drawing were further determined, and an optimized design system for drawing dies for non-circular long parts under the processing environment was constructed. The use of this system framework can effectively solve the problems of mold utilization and adaptability, and realize the matching of workpiece requirements and functions, thereby expanding mold functions and optimizing system performance. It maximizes the performance of the die and provides users with an optimal design method for the drawing die for non-circular elongated parts under the processing environment that meets the goals of safety, efficiency, economy, health and comfort. The research has certain practical significance and theoretical value, and provides a guiding method for the optimization design system of the drawing die for non-circular elongated parts under the processing environment.
The Research on Optimal Design of Drawing Die for Non-circular Long Parts in Processing Environment
Lect. Notes Electrical Eng.
International Conference on Man-Machine-Environment System Engineering ; 2022 ; Beijing, China October 21, 2022 - October 23, 2022
2022-08-21
6 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Processing environment , Non-circular long piece , Deep drawing , Optimized design Engineering , Manufacturing, Machines, Tools, Processes , Engineering Economics, Organization, Logistics, Marketing , Industrial and Organizational Psychology , Artificial Intelligence , Aerospace Technology and Astronautics
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