Virtual Experiment Platform for Laminar Cooling Process

Abstract:

The laminar cooling process has complex features, such as nonlinear, time-varying parameters, frequent changes of working conditions, and its difficult to achieve precise modeling and the traditional closed-loop control. A multi-layer virtual experiment platform with hybrid programming of configuration is proposed in the paper. Not only does this platform keep the environment similar to the industrial field, but also saves money on purchasing the hardware system.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 656-659
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.656
• Online since: August 2013
• Authors: Jin Xiang Pian, Zhen Wang, Mei Ju Liu, Jie Jia Li
• Keywords: Laminar Cooling Process, Multilayer, Virtual Experiment Platform

References

[1] Peng LG, Liu EY, Zhang DH. Development and Application of Advanced Coiling Temperature Control System in Hot Strip Mill (Advanced Materials Research, 2012).

DOI: 10.4028/www.scientific.net/amr.421.140

[2] Liu EY, Zhang DH, Sun J. Algorithm Design and Application of Laminar Cooling Feedback Control in Hot Strip Mill (Journal of Iron and Steel Research International, 2012).

DOI: 10.1016/s1006-706x(12)60085-5

[3] Wang MT, Li XT, Du FS. Experimental Study on the Laminar Cooling Process of the Middle and Heavy Plate (Applied Mechanics and Materials, 2012).

[4] Kellner M, Madachy R, Raffo D. Software process simulation modeling: Why? What? How? (The Journal of Systems & Software, 1999).

DOI: 10.1016/s0164-1212(99)00003-5

[5] Krishna Kumar R. Real Time Parallel Simulator And On-Line Parallel Controller For The Runout Table Of Hot Strip Mills (2012).

[6] Tan MH, Li SJ, Chai TY. Model Software Package Development for Laminar Cooling Process in Hot Mill (Journal of Iron and Steel Research International, 2010).

DOI: 10.1016/s1006-706x(10)60094-5

[7] Xing GS, Ding JL, Chai TY. Hybrid intelligent parameter estimation based on grey case-based reasoning for laminar cooling process (Eng Appl Artif Intel, 2012).

DOI: 10.1016/j.engappai.2011.10.007

[8] Pian JX, Chai TY, Li JJ. Rule and Data Driven Strip Coiling Temperature Model inLaminar Cooling Process (Acta Automatica Sinica, 2012).

DOI: 10.3724/sp.j.1004.2012.01861

[9] Pian JX, Chai TY, Li JJ. Application of Case-based Reasoning and Iterative Learning to Laminar Cooling Process Control (Acta Automatica Sinica, 2012).

DOI: 10.3724/sp.j.1004.2012.02032