SCI和EI收录∣中国化工学会会刊

Chinese Journal of Chemical Engineering ›› 2015, Vol. 23 ›› Issue (6): 880-889.DOI: 10.1016/j.cjche.2014.06.044

• 流体力学与传递现象 • 上一篇    下一篇

Numerical simulation and combination optimization of aluminum holding furnace linings based on simulated annealing

Jimin Wang, Shen Lan, Tao Chen, Wenke Li, Huaqiang Chu   

  1. School of Energy and Environment, Anhui University of Technology, Ma'anshan 243002, China
  • 收稿日期:2014-04-15 修回日期:2014-06-23 出版日期:2015-06-28 发布日期:2015-07-09
  • 通讯作者: Jimin Wang
  • 基金资助:

    Supported by the National Natural Science Foundation of China (51306001), the Natural Science Foundation of Anhui Province (1408085QG138), the Natural Science Foundation of Anhui Technology University (QZ201303, QS201304), and the Student Research Training Program of Anhui University of Technology (AH201310360120).

Numerical simulation and combination optimization of aluminum holding furnace linings based on simulated annealing

Jimin Wang, Shen Lan, Tao Chen, Wenke Li, Huaqiang Chu   

  1. School of Energy and Environment, Anhui University of Technology, Ma'anshan 243002, China
  • Received:2014-04-15 Revised:2014-06-23 Online:2015-06-28 Published:2015-07-09
  • Contact: Jimin Wang
  • Supported by:

    Supported by the National Natural Science Foundation of China (51306001), the Natural Science Foundation of Anhui Province (1408085QG138), the Natural Science Foundation of Anhui Technology University (QZ201303, QS201304), and the Student Research Training Program of Anhui University of Technology (AH201310360120).

摘要: To reduce heat loss and save cost, a combination decision model of reverb aluminum holding furnace linings in aluminum casting industry was established based on economic thickness method, and was resolved using simulated annealing. Meanwhile, a three-dimensional mathematical model of aluminum holding furnace linings was developed and integrated with user-defined heat load distribution regime model. The optimal combination was as follows: sidewallwith 80mmalumino-silicate fiber felts, 232mmdiatomite brick and 116mmchamotte brick; top wall with 50 mm clay castables, 110 mm alumino-silicate fiber felts and 200 mm refractory concrete; and bottomwallwith 232mmhigh-alumina brick, 60mmclay castables and 68mmdiatomite brick. Lining temperature from high to low was successively bottom wall, side wall, and top wall. Lining temperature gradient in increasing order ofmagnitude was refractory layer and insulation layer. It was indicated that the results of combination optimization of aluminum holding furnace linings were valid and feasible, and its thermo-physical mechanism and cost characteristics were reasonably revealed.

关键词: Aluminum holding furnace linings, Reaction engineering, Transport processes, Numerical simulation, Combination optimization, Simulated annealing

Abstract: To reduce heat loss and save cost, a combination decision model of reverb aluminum holding furnace linings in aluminum casting industry was established based on economic thickness method, and was resolved using simulated annealing. Meanwhile, a three-dimensional mathematical model of aluminum holding furnace linings was developed and integrated with user-defined heat load distribution regime model. The optimal combination was as follows: sidewallwith 80mmalumino-silicate fiber felts, 232mmdiatomite brick and 116mmchamotte brick; top wall with 50 mm clay castables, 110 mm alumino-silicate fiber felts and 200 mm refractory concrete; and bottomwallwith 232mmhigh-alumina brick, 60mmclay castables and 68mmdiatomite brick. Lining temperature from high to low was successively bottom wall, side wall, and top wall. Lining temperature gradient in increasing order ofmagnitude was refractory layer and insulation layer. It was indicated that the results of combination optimization of aluminum holding furnace linings were valid and feasible, and its thermo-physical mechanism and cost characteristics were reasonably revealed.

Key words: Aluminum holding furnace linings, Reaction engineering, Transport processes, Numerical simulation, Combination optimization, Simulated annealing