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球扁钢采用电磁感应加热技术实现在线淬火热处理。感应加热过程中球头与腹板存在较大温差,导致淬火后性能不均匀。借助数值模拟方法建立感应加热过程有限元模型,获得不同时刻球扁钢断面温度场分布。进一步采用二位控温法进行感应加热工艺优化,并借助有限元模型进行参数的设计和优化。模拟结果显示腹板与球头温度差由优化前的100℃左右,减少到优化后的少于30℃。采用新工艺进行实验,实验结果与模拟结果比较两者相差较小,验证了模型的准确性和新工艺的可行性。为实现球扁钢感应加热工艺快速选择和优化提供了可靠的数学模型。
Ball flat steel using electromagnetic induction heating technology to achieve online quenching heat treatment. During induction heating, there is a large temperature difference between the ball head and the web, resulting in uneven performance after quenching. By means of numerical simulation, the finite element model of induction heating process was established and the distribution of temperature field in the flat section of the flat bar was obtained at different time. The second-order temperature control method is further used to optimize the induction heating process, and the parameters are designed and optimized by using the finite element model. The simulation results show that the temperature difference between web and bulb decreases from about 100 ℃ before optimization to less than 30 ℃ after optimization. The new technology was used to carry out experiments. The experimental results and the simulation results showed a small difference, which verified the accuracy of the model and the feasibility of the new technology. It provides a reliable mathematical model for the rapid selection and optimization of bulb flat induction heating process.