On the Development of Parametrical Water Quenching Heat Transfer Model Using Quenchometer and Its Validation for All Boiling Regimes
| Autor: | James Jan, D. Scott MacKenzie |
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| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Heat Treat 2019: Proceedings from the 30th Heat Treating Society Conference and Exposition. |
| ISSN: | 2769-6367 2769-6340 |
| DOI: | 10.31399/asm.cp.ht2019p0279 |
| Popis: | Although many have had success using CFD and FEA techniques to predict residual stress and distortion in water quenched aluminum alloys, there are still hurdles in using a computational approach to manage liquid quenching processes due to the lack of a quench severity database. Quench severity is defined by the Grossman number, which does not serve as a heat transfer model for CFD simulation because it omits much of the underlying physics. In this research, a new interpretation of quench severity makes it possible to separate the heat transfer model into two groups, one computable by CFD and one requiring calibration. The objective of this paper is to parameterize the boiling model by quenching conditions and validate the model using data obtained by quenchometer testing. |
| Databáze: | OpenAIRE |
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