Vizualization Method for Vapor Film Collapse Mode on Liquid Qucnching in Gropu Processing

Understanding this phenomenon is of industrial importance because the instability of quenching conditions in group process heat treatments leads to repeated fluctuations in product quality. So far, we have confirmed that the phase state of vapor film collapse on the surface of parts during quenching has a large effect on heat treatment deformation. We devised, researched, and implemented a method to reproduce the repeatability of repeated conditions in a consistent heat treatment process in a low-load calculation simulation using cellular automata, and reported it at the previous IFHT-SE Conference. In this presentation, we expand on past reserch, find boundary conditions for vapor film simulation using cellular automaton using CFD analysis in batch loading, and perform batch processing with ultra-low load by one-way coupling from CFD analysis to cellular automaton. We confirmed that this method can predict the quality distribution of the entire package. The flow velocity and vorticity of the quenchant on the part surface are derived through CFD analysis and are input into a cellular automaton to predict the heat transfer coefficient distribution on the part surface. Heat treatment deformation is performed using the derived heat transfer coefficient. simulation. This reduces variation in heat treatment quality within and between lots. It turns out that prediction is possible.