| Summary: | 碩士 === 淡江大學 === 機械與機電工程學系碩士班 === 96 === The aim of this paper was to combine the dynamic-explicit FEM and adaptive network fuzzy inference system (ANFIS) to predict the height of the cup after the deep drawing by the forward model. Meanwhile, an ANFIS inverse model was developed to predict the profile of the optimum blank to get the goal of the target height of the cup in the forming limit.
This study firstly explored the analysis of the forming limit in the circular initial blank during square cup deep drawing, and combined with the adaptive network fuzzy inference system (ANFIS) to establish a rule data base according to the information of the circular initial blank with different diameters of the node number, the node coordinates of the initial blank and the deformed height of the cup, and then used the ANFIS to perform the optimum blank profile of the forming limit. In the forming limit analysis of the square cup deep drawing, the area of the circular initial blank was 4417.86 , and the area of the optimum blank was 4273.92 , so the area of the material would reduce by 3.4%. After drawing, the lowest height of the cup could increase from 29mm to 33mm, so the limit height of the cup could rise by 14%. Also, the volume corresponding to the height of the cup 29mm and 33mm was 25902.77 and 29489.04 respectively, so the volume of the workpiece after optimizing could increase by 13.8%. According to the definition of limit drawing ratio (LDR), the LDR of the initial circular blank was 2.5 and the LDR of the optimum blank was 2.659, so the LDR could increase by 6.4%. The simulation results included the punch load and punch stroke, the distribution of the cup height, the deformation history, forming limit diagram, and the distribution of stress and strain. The comparing results of experiment and of simulation showed that the dynamic-explicit FEM and ANFIS can exactly predict the optimum blank of the forming limit in the square cup deep drawing process.
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