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Energy-Saving Hot Open Die Forging Process of Heavy Steel Forgings on an Industrial Hydraulic Forging Press

机译:节能热开启模具锻造工业液压锻造压力机的重型钢锻件

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摘要

The study deals with the energy-saving process of hot open die elongation forging of heavy steel forgings on an 80 MN industrial hydraulic forging press. Three innovative energy-saving power supply solutions useful for industrial hydraulic forging presses were analyzsed. The energy-saving power supply of hydraulic forging presses consists in reducing electricity consumption by the electric motor driving the pumps, reducing the noise emitted by pumps and reducing leaks in hydraulic piston cylinders. The predicted forging force as a function of heavy steel forging heights for various deformation temperatures and strain rates was determined. A simulation model of the 80 MN hydraulic forging press is presented, which is useful for determining the time-varying parameters during the forging process. An energy-saving control for the hydraulic forging press based on the forging process parameters’ prediction has been developed. Real-time model predictive control (MPC) was developed based on multiple inputs multiple outputs (MIMO), and global predictive control (GPC). The GPC has been implemented in the control system of an 80 MN industrial hydraulic forging press. The main advantage of this control system is the repeatability of the forging process and minimization of the size deviation of heavy large steel forgings
机译:该研究涉及80 MN工业液压锻造压力机上重型钢锻件的热开钢锻造的节能工艺。分析了用于工业液压锻造压机的三种创新的节能电源解决方案。液压锻造压机的节能电源包括驱动泵的电动机降低电力消耗,从而减少泵发出的噪音并减少液压活塞缸内的泄漏。确定了作为各种变形温度和应变速率的重型钢锻造高度的函数的预测锻造力。提出了80mN液压锻造压机的仿真模型,这对于在锻造过程中确定时变参数是有用的。已经开发了基于锻造工艺参数预测的液压锻造压机的节能控制。基于多个输入多输出(MIMO)和全局预测控制(GPC)开发了实时模型预测控制(MPC)。 GPC已经在80 MN工业液压锻造压机的控制系统中实施。该控制系统的主要优点是锻造过程的可重复性和最小化重型大钢锻件的尺寸偏差

著录项

  • 作者

    Ryszard Dindorf; Piotr Wos;

  • 作者单位
  • 年度 2020
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  • 原文格式 PDF
  • 正文语种 eng
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