Mathematical Modeling and Experimental Study of Inverse Heat Conduction Problems of Heavy Plate Laminar Cooling Process
- DOI
- 10.2991/cnct-16.2017.56How to use a DOI?
- Keywords
- Laminar Cooling, Inverse Heat Conduction Problem, Conjugate Gradient Method, Genetic Algorithm, Non-iterative Method.
- Abstract
The performance of hot rolling steel plates depends on the cooling process after hot rolling. One important point of improving the technology of controlled cooling after rolling is understanding the effect of process parameters. Heat transfer coefficient is a significant physical parameter during the cooling process. In this paper, a mathematical model of inverse heat conduction problem was built and the laminar cooling process was studied by experiment. The main works included data acquisition, inverse heat conduction problem model and verification of algorithms. The research results show that the rate of cooling is proportional to the cooling water flow, and the effect of cooling water flow to the measure point that near the periphery is greater than the point inside. The Conjugate Gradient Method and the Genetic Algorithm are appropriate for the no-linear inverse heat conduction problem, which is proved by examples. And the computational accuracy used the measure point that near the periphery is higher than the point inside.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Wen-hong LIU AU - Jun-lin WANG AU - Jian YANG PY - 2016/12 DA - 2016/12 TI - Mathematical Modeling and Experimental Study of Inverse Heat Conduction Problems of Heavy Plate Laminar Cooling Process BT - Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016) PB - Atlantis Press SP - 408 EP - 412 SN - 2352-538X UR - https://doi.org/10.2991/cnct-16.2017.56 DO - 10.2991/cnct-16.2017.56 ID - LIU2016/12 ER -