Visualization of Vapor Film Collapse Behavior with Complexity on Quenching Process by Cellular Automaton

The vapor film collapse that occurs in the quenching process is complicated and affects the heat treatment quality and its distortion. In order to incorporate it into the MBD (Model Based Development) technology required these days, it is necessary to predict the quality of heat treatment by CAE (Computer Added Engineering), shorten the product development period. The calculation of the vapor film collapses in a simple and practical time in order to improve the product performance. However, in the past, in order to formulate the vapor film collapse on a simulation, it was necessary to perform a very large amount of computational calculation CFD (computational fluid dynamics), which was a problem in terms of computer resources and the model of vapor film collapse. In addition, this phenomenon has a complexity behavior of the phenomenon in iterative processing, which also complicates the calculation. In this study, the vapor film collapse phenomenon is easily visualized using self-organized cellular automaton simulation which includes the phenomena of “vapor film thickness and its fluctuation”, “flow disturbance”, “surface step of workpiece”, and “decrease of cooling due to r shape of surface”. The average cooling state and repeated fluctuations of the cooling state were reproduced by this method.