Quenching Distortion Simulation Consider with Residual Stress due to Maching Process

Tuesday, May 6, 2025: 1:30 PM
Room 20 (Vancouver Convention Centre)
Dr. TSUYOSHI SUGIMOTO, Ph.D of Engineering , National Institute of Technology, Asahikawa College, Asahikawa, Hokkaido, Japan
Mr. Kouki HATA , National Institute of Technology, Asahikawa College, Asahikawa, Japan
As the shift to EVx in automobiles and the power source such as ships and aircraft move forward with life cycle CO2 (LCCO2) measures, drive train parts are required to have ultra-long life materials, high precision shapes, and rapid response to new design shapes. However, the declining birthrate is leading to a decrease in material and heat treatment engineers, and the retirement of experienced engineers is making it difficult to manufacture products that rely on intuition and skill. To address this issue, heat treatment simulations with a level of quality that can replace experiments are recuired.
We have confirmed the control factors for the quality of heat treatment simulation analysis regarding the prediction quality of heat treatment simulations, and found that the quenching state, material, and effects from previous processing processes are important. In this study, we take into account fluctuations in the quenching state and fluctuations in the material state, and derive the mechanism by which previous processing processes affect heat treatment quality, especially "variation in deformation," by observing the residual stress and structure of the processed material, and clarifying a method for predicting this using heat treatment simulation, thereby realizing a heat treatment simulation that includes prediction of variation. It was found that the phase and tool wear during machining fluctuate the material in the as-machined state, which in turn causes large fluctuations in the heat treatment quality. In addition, by incorporating these results into a heat treatment simulation using the residual stress after machining as an intermediary, it was possible to create a simulation that takes into account the effects of machining, particularly in terms of variation.