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Optimal Heating in Heat-Treatment Process Based on Grey Asynchronous Particle Swarm Optimization

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Abstract

To ensure plate heating quality and reduce energy consumption in heat-treatment process, optimal heating for plates in a roller hearth furnace was investigated and a new strategy for heating procedure optimization was developed. During solving process, plate temperature forecast model based on heat transfer mechanics was established to calculate plate temperature with the assumed heating procedure. In addition, multi-objective feature of optimal heating was analyzed. And the method, which is composed of asynchronous particle swarm optimization and grey relational analysis, was adopted for solving the multi-objective problem. The developed strategy for optimizing heating has been applied to the mass production. The result indicates that the absolute plate discharging temperature deviation between measured value and target value does not exceed ± 8 °C, and the relative deviation is less than ± 0.77%.

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Authors and Affiliations

  1. State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang, Liaoning, 110004, China

    Jia-dong Li (Doctor), Yong Li, Tian-liang Fu, Zhao-dong Wang & Guo-dong Wang

  2. School of Materials and Metallurgy, University of Science and Technology of Liaoning, Anshan, Liaoning, 114051, China

    Da-dong Zhao

Authors
  1. Jia-dong Li
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  2. Yong Li
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  3. Da-dong Zhao
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  4. Tian-liang Fu
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  5. Zhao-dong Wang
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  6. Guo-dong Wang
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Correspondence to Jia-dong Li.

Additional information

Foundation Item: Item Sponsored by National Basic Research Program (973 Program) of China (2010CB630800)

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Li, Jd., Li, Y., Zhao, Dd. et al. Optimal Heating in Heat-Treatment Process Based on Grey Asynchronous Particle Swarm Optimization. J. Iron Steel Res. Int. 19, 1–7 (2012). https://doi.org/10.1016/S1006-706X(13)60024-2

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  • DOI: https://doi.org/10.1016/S1006-706X(13)60024-2

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