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Water quench of steels consists to cool heated steel by sudden immersion in water.
During the quench of large steel components, the part experiences a fast drop in temperature at the surface while the center is still hot. This huge difference in temperature within the part triggers material heterogeneities that induces shape change or even initiate cracks in severe cases.
Unfortunately, the forging companies couldn’t always avoid this failures caused by the above process. The estimation of the contribution of all phenomena involved during the quench of large dimension is still missing.
The purpose of this project is to build a customized knowledge during water quench of a specific product (long round high strength steel) used as turbine shafts in specific conditions in order to be transferred to the company at the end of the project.
The second objective is to build a predictive tool that allows engineers to predict the failures (shape change) during the quench process.
Having such knowledge transfer with the predictive abilities, the forging industries could reduce trial and error and use this process more economically to minimize distortions and control the properties.
Mohammad Jahazi
Finkl Steel Sorel
Engineering
Advanced Manufacturing; Energy and Utilities
École de technologie supérieure
Accelerate
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