Engineering Research Equipment Grant: Numerical Control Center

该设备是一台具有真实工业尺寸的数控车削中心。它将用于基础研究颤振对刀具磨损的影响，并研究在低速下提高加工稳定性的过程阻尼的机理。到目前为止，关于颤振和刀具磨损之间的关系的信息还很少。对刀具磨损的显著影响将表明，需要重新检查颤振被接受为生活事实的行业中的当前操作(例如，口袋磨铝机体面板)，并考虑已有的颤振避免技术。有可能利用工艺减振调查的结果故意引入工艺减振，从而显著提高现有操作的稳定性(提高数倍)。将开发两种传感器控制算法并进行实验验证。一种是通过自动选择最佳稳定速度来避免颤振的方法，另一种是颤振和刀具破损检测的技术。此外，还将开发并验证仿真模型，以便在NC编程阶段(用于优质铣削的编程)确定车削操作的质量。这些调查主要针对的是加工质量预测能力将减少程序验证通常所需的时间的操作，而使用麦克风进行刀具破损检测将提供现有力和声发射方案的更便宜的替代方案。

This equipment is an NC turning center of realistic industrial size. It will be used for fundamental studies of the effect of chatter on tool wear, and to investigate the mechanisms responsible for the process damping which improves the stability of machining at low speeds. There is as yet very little information available about the relationship between chatter and tool wear. A significant effect on tool wear would indicate a need to reexamine the current operations in industries where chatter is accepted as a fact of life (e.g. pocket milling aluminum airframe panels) and to consider the chatter avoidance techniques already available. It may be possible to use the results of the process damping investigations to deliberately introduce process damping and thereby increase the stability of existing operations significantly (several times). Two sensor control algorithms will be developed and experimentally verified. One is a method for chatter avoidance by automatically selecting optimally stable speeds, and the other is a technique for chatter and tool breakage detection. Additionally, simulation models will be developed and verified to be used as aids in determining the quality of the turning operation during the NC programming stage (programming for quality milling). Primarily, these investigations are directed toward operations where machining quality prediction abilities would reduce the time typically required for program verification, while tool breakage detection using the microphone would provide a less expensive alternative to existing force and acoustic emission schemes.