Abstract
Abstract The most challenging part, in modelling tailored hot stamping processes, is the variable cooling transformation that occurs in real industrial processes. In this study, analytical equations are first fitted to both experimental isothermal and continuous cooling transformation data. Then, an optimized fitting method with a weight coefficient is introduced that considers two transformation data to provide a more accurate transformation prediction. Finally, the generalized calculated result of incubation time using Rios's proposed method based on optimized continuous cooling transformation curves is contrasted against one calculated with a modified generalized calculated method. The results show that the consideration of the current temperature and cooling rate increases the accuracy of incubation time predictions as the gradient of cooling rate increases.
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