Combined with the injection molding requirements of the CPU turbine fan,the CAE aided analysis and optimization were used to obtain the molding scheme of the plastic part,which was a the first mock examination with one cavity,the top of the front central shaft into the mold cavity layout,and the single point hot nozzle ring hot gate gating.Using the method of layered core pulling,the demoulding of a single turbine blade slot was carried out by using the method of the upper,middle and lower layers of sliders to carry out the side core pulling and demoulding in order,and then the required demoulding mechanism of the entire turbine fan blade slot was 27 slider mechanisms,including 9 upper slider mechanisms in the upper layer,9 middle slider mechanisms in the middle layer,and 9 lower slider mechanisms in the lower layer.According to the core-pulling drive requirements of the slider mechanism,the overall structure of the mold was a pseudo-three-plate mold structure,which was divided into three mold openings.The first mold opening was used for the side core-pulling drive of the lower nine slider mechanisms,the second mold opening was used for the side core-pulling drive of the upper nine slider mechanisms,and the third mold opening was used for the complete demoulding of the plastic parts.After the third mold opening,with the completion of the side core-pulling action of the nine middle slider mechanisms driven by the middle nine oil cylinders,The plastic parts fall off automatically to realize complete demoulding.In view of the practical problem that the turbine fan blade slot was difficult to demould,a three-layer slider mechanism was designed to pull the core in sequence,and then rely on the mold opening to provide the drive to drive the design method,which properly solved the molding problem of the turbine fan plastic parts.The mechanism action was reliable and the production efficiency was high.
关键词
CPU涡轮风扇/CAE分析/成型/热流道/注射模设计/设计优化
Key words
CPU turbine fan/CAE analysis/forming/hot runner/injection mold design/design optimization
维普
万方数据