【摘要】 钢包的内衬直接暴露在钢水中很容易受到腐蚀，带来潜在的安全隐患。为了降低这种风险，文章提出了基于钢包内壁损蚀边界反演的钢包温度预测模型。通过建立钢包的传热数学模型，利用导热反问题技术，并结合粒子群优化算法，以易于获得的钢包包壳外壁测量温度作为输入量，对钢包内壁未知的损蚀边界进行反演。基于边界反演结果，可以进一步对钢包温度进行预测。数值模拟实验结果表明，该模型能够较为准确地对钢包内壁的损蚀边界形状进行反演，并准确预测钢包温度变化。对钢包运转工艺对反演及预测的影响进行了讨论，运转流程由装钢和烘烤保温交替变为连续装钢时，钢包内壁边界反演和温度预测的精度会进一步提高。更多还原

【Abstract】 The lining of the ladle is directly exposed to the molten steel and is susceptible to corrosion, posing a potential safety hazard. In order to reduce this risk, this paper proposes a ladle temperature prediction model based on the boundary inversion of ladle liner corrosion. By establishing a heat transfer mathematical model of the ladle, using the thermal conductivity inverse problem technique and combining it with the particle swarm optimization algorithm, the article inverts the unknown corrosion boundary of the inner wall of the ladle by taking the measured temperature of the outer wall of the ladle shell, which is easy to obtain, as an input quantity. Based on the boundary inversion results, the future temperature of the ladle can be further predicted and calculated. Numerical simulation results show that the model can accurately invert the corrosion boundary shape of the inner wall of the ladle and accurately predict the future temperature change of the ladle. The effects of ladle operation processes on the inversion and prediction are discussed. The operation process is changed from alternating steel loading and baking heat preservation to continuous steel loading, the accuracy of the inversion of the boundary of the inner wall of the ladle and the prediction of the temperature will be further improved.更多还原