location: Current position: Home >> Scientific Research >> Paper Publications

Neural networks for solving the inverse heat transfer problem of continuous casting mould

Hits:

Indexed by:会议论文

Date of Publication:2011-07-26

Included Journals:EI、Scopus

Volume:2

Page Number:791-794

Abstract:Accurate and real-time detection of mould transient heat transfer is a strong assurance for producing good initial solidification strand and accurately controlling the solidification process in continuous casting. Based on the measured data of mould temperatures during continuous casting of round billet, to decrease the calculation time for meeting the online monitoring and calculation requirement, the feasibility of using neural networks to solve the inverse problem of heat transfer for continuous casting mould was discussed. The results show that the neural network is faster for inverse model, and the calculation results by this method can correctly reflect the characteristics of non-uniform heat transfer, which provides a worthwhile and applicable method for online calculation and visual technology of heat transfer and solidification inside continuous casting mould. ? 2011 IEEE.

Pre One:新一代结晶器在线监控集成系统开发与应用

Next One:Particle swarm optimization for estimation on mould oscillation for continuous casting process