摘要
为深入分析锻件的变形程度并精确调控锻件尺寸,设计了一种基于小脑模型神经网络的锻压机变形量补偿控制方法。利用变形量对位移信号实施补偿获得精确的锻件尺寸,实现对不同实验变形程度补偿效果,达到同样的稳态值。研究结果表明,补偿变形与实验变形仅存在微小差异,锻压机实际运行压力区间很大,无需在锻压过程中进行补偿。对主缸形变补偿调整使主缸内产生较高压力,可以充分消除由主缸压力差而造成的锻件变形,实现对锻件变形的准确控制。该方法有利用主缸压力补偿控制器进行锻件尺寸调节,为优化锻件尺寸控制性能提供参考价值。
In order to deeply analyze the deformation degree of forging parts and accurately control the size of forging parts,a method of deformation compensation control of forging press based on cerebellar model neural network was designed.The displacement signal is compensated by the deformation amount to obtain the exact forging size,and the compensation effect for different deformation degrees is realized to achieve the same steady-state value.The results show that there is only a small difference between the compensated deformation and the experimental deformation,and the actual operating pressure range of the forging machine is large,so there is no need to compensate in the forging process.The deformation compensation adjustment of the master cylinder can produce higher pressure in the master cylinder,which can fully eliminate the forging deformation caused by the pressure difference of the master cylinder,and realize the accurate control of the forging deformation.The method uses the master cylinder pressure compensation controller to adjust the forging size,which provides a reference value for optimizing the performance of forging size control.
作者
常超勇
左二兵
Chang Chaoyong;Zuo Erbing(College of Intelligent Manufacturing,Hebi Polytechnic,Hebi Henan 458030,China)
出处
《山西冶金》
2025年第7期114-115,118,共3页
Shanxi Metallurgy
基金
鹤壁职业技术学院科技创新团队(2023ZK01)
鹤壁职业技术学院校本重点科研项目(2023-KJZD-003)。
关键词
锻机
锻件尺寸
机架变形
补偿控制
精度控制
forging machine
forging size
frame deformation
compensation control
precision control
