基于神经网络的多轴数控加工及其自动化控制
Multi-Axis CNC Machining and Its Automatic Control Based on Neural Network
王亮 1刘磊 1赵江 1王联翔 1张辉林1
作者信息
- 1. 北方自动控制技术研究所,山西 太原 030006
- 折叠
摘要
多轴数控加工可以提高加工的精度和效率,塑造更复杂的零件形状和结构.但多轴数控加工的复杂性也给自动化控制带来了挑战.神经网络可以通过学习大量的数据和模式,自动提取和学习加工过程中的规律和特征.在多轴数控加工中,神经网络可以用于建立加工过程的预测模型、优化控制策略和实时监测系统等,实现对多轴数控加工过程的智能化控制和优化.
Abstract
Multi-axis CNC machining can improve machining accuracy and efficiency,and can shape more complex part shapes and structures.However,the complexity of multi-axis CNC machining also poses challenges to automation control.Neural networks can automatically extract and learn patterns and features during processing by learning a large amount of data and patterns.In multi-axis CNC machining,neural networks can be used to establish predictive models,optimize control strategies,and real-time monitoring systems for the machining process,achieving intelligent control and optimization of the multi-axis CNC machining process.
关键词
神经网络/多轴数控加工/自动化控制Key words
neural network/multi-axis CNC machining/automatic control引用本文复制引用
出版年
2024
NETL
NSTL
万方数据