Kaiyang Wang

Mr. Kaiyang Wang


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 June 2024 in Materials
Verified
Journal Article
Open access
PDF file
CXCheng-Hui Xia
Cheng-Hui Xia
KWKaiyang Wang
Kaiyang Wang
XSXuexia Song
Xuexia Song
WPWeiming Pan
Weiming Pan
WLWei Li
Wei Li
XMXinping Mao
Xinping Mao
Steel products typically undergo intricate manufacturing processes, commencing from the liquid phase, with casting, hot rolling, and laminar cooling being among the most crucial processes. In the background of carbon neutrality, thin-slab casting and direct rolling (TSCR) technology has attracted significant attention, which integrates the above three processes into a simpler and more energy-efficient sequence compared to conventional methods. Multi-scale computational modeling and simulation play a crucial role in steel design and optimization, enabling the prediction of properties and microstructure in final steel products. This approach significantly reduces the time and cost of production compared to traditional trial-and-error methodologies. This study provides a review of cross-scale simulations focusing on the casting, hot-rolling, and laminar cooling processes, aiming at presenting the key techniques for realizing cross-scale simulation of the TSCR process.