锻压技术

热冲压生产中的长周期智能控制

英文标题：Longperiod intelligent control in hot stamping production

作者：王梁苏志同安兴运张宜生王义林朱彬

单位：1. 华中科技大学 2. 青岛科捷机器人有限公司 3. 武汉中誉鼎力智能科技有限公司

分类号：TG306

出版年,卷(期):页码：2020,45(7):128-131

摘要：

以超高强钢热冲压生产过程中温度的变化为研究对象，为了提升热冲压零件的稳定性、降低温度变化对零件性能的影响，提出了一种通用的长周期智能控制模型，并聚焦热冲压生产中的长周期因素，基于信息物理系统的传感数据，采用在线长周期智能控制方法，对热冲压成形工艺的模具温度和冷却水温度进行优化控制。通过在生产线中构建传感器网络，并对模具温度和冷却水温度进行监测和主动调节，长周期智能控制方法不仅实现了模具温度和冷却水温度的优化控制，还能够将生产节拍智能调整到较为合理的数值，是一种有效的动态控制方法。长周期智能控制是对现有热冲压生产控制系统的有益补充。

For the change of temperature during the hot stamping production process of ultra-high-strength steel, in order to improve the stability of hot stamped parts and reduce the influences of temperature changes on the performance of parts, a general long-period intelligent control model was proposed, and the long-period factors in hot stamping production were focused on. Based on the sensing data from cyber-physical system, the die temperature and the cooling water temperature in the hot stamping process were optimally controlled by the on-line long-period intelligent control method. Through building a sensor network in the production line and monitoring and actively adjusting the die temperature and the cooling water temperature, the long-period intelligent control method not only realized the optimal control of the die temperature and the cooling water temperature, but also intelligently adjusted the production cycle to a more reasonable value, which was an effective dynamic control method. Thus, the long-period intelligent control is a useful supplement to the existing hot stamping production control system.

基金项目：

国家科技重大专项(2018ZX04023001);国家自然科学基金资助项目（U1760205）

王梁（1987-），男，博士，助理研究员 E-mail：wangliang@hust.edu.cn 通讯作者：张宜生（1951-），男，硕士，教授 E-mail：zhangys@mail.hust.edu.cn

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