Transactions of Nanjing University of Aeronautics & Astronautics
Mold Wear During Die Forging Based on Variance Analysis and Prediction of Die Life
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Abstract:
A process parameter optimization method for mold wear during die forging process is proposed and a mold life prediction method based on polynomial fitting is presented， by combining the variance analysis method in the orthogonal test with the finite element simulation test in the forging process. The process parameters with the greatest influence on the mold wear during the die forging process and the optimal solution of the process parameters to minimize the wear depth of the mold are derived. The hot die forging process is taken as an example， and a mold wear correction model for hot forging processes is derived based on the Archard wear model. Finite element simulation analysis of die wear process in hot die forging based on deform software is performed to study the relationship between the wear depth of the mold working surface and the die forging process parameters during hot forging process. The optimized process parameters suitable for hot forging are derived by orthogonal experimental design and analysis of variance. The average wear amount of the mold during the die forging process is derived by calculating the wear depth of a plurality of key nodes on the mold surface. Mold life for the entire production process is predicted based on average mold wear depth and polynomial fitting.
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TG316
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