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Hot rolling is one of the most significant processes during modern steel production. Complex metallurgical phenomena could take place during and after the application of high pressure and temperature, which largely affect the product properties. A simulation or model that could predict these microscopic events real time is extremely beneficial in the production. Therefore, the aim of this project is to firstly understand an existing model adopted by the partner organization and secondly, to use recorded production data to improve on an semi-empirical model with well-established philosophy developed by scholars, which eventually will be used to improve on the existing model. With the improved model, partner organization could better predict the quality of the product and could largely reduce cost in developing new production schedules.
Stephen Yue
Shuhong Shen
Algoma
Engineering - other
Manufacturing
Accelerate
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