切削颤振的研究进展综述

Review of chatter issues in machining

颤振是工件表面质量和尺寸精度的重要影响因素之一,本文全面阐述了切削过程颤振的检测技术、切削颤振的控制技术、颤振的鲁棒和概率分析。探讨了切削颤振的类别以及基于切削过程中的力学特性构建的动力学模型;分析了颤振模型的影响因素,如:切削参数、机床结构、主轴动态特性等,讨论了颤振模型的求解方法。针对切削系统结构和切削过程的非线性动力学特征,提出了时变性的模糊控制、神经网络的智能控制,降低颤振影响和利用颤振发生规律,以改善工件加工质量。随着人工智能、算法优化和智能材料的发展,智能一体化抑振系统将成为未来发展趋势。

Chatter presents one of the main influential factors in quality of machined surfaces and tolerances. In this paper, an overview of chatter detection, control technology, and probability robustness analysis in machining has been presented. Models such as dynamic model, frictional model, coupled flutter model, and regenerative model have been presented to show the different effects. Influences of parameters such as cutting conditions, machine tool and spindle system have been incorporated into the various models. In addition, these models and solution methods of flutter in cutting process have been discussed. Consideration is also given to nonlinearity in cutting processes and spindle-holder-tool systems. The fuzzy control of time-varying and intelligent control of neural network is proposed to reduce flutter effect and make use of flutter occurrence law to improve machining quality of workpieces. With the development of artificial intelligence, machine learning and deep learning, the vibration suppression system of intelligent integration is becoming the future developing trend.