GOALI/IUCP: Nonlinear Dynamic Models of Material Flow in High-Speed Machining

电话：+86-9800323 铣削过程中的材料去除可以是稳定的或振荡的，这取决于材料、几何形状和参数，例如切削深度和切削速度。材料去除的动力学影响成品表面的质量。这反映在可以是平滑的或分段的芯片的形式中。 这个GOALI项目的目标是导出描述这些行为及其对参数的依赖关系的模型，并通过实验验证模型。在现有的二维模型中的基本假设的材料去除，占芯片分割的发病，将被放宽，允许更多的现象和参数依赖性的实验观察到的建模。为了验证升级后的模型，在NIST制造工程实验室的高速铣床上进行正交和常规切削几何实验。切割将使用旋转主轴安装测力计与射频遥测，高带宽红外温度传感器和可能的超声波发射传感器进行监测。 切削力学和动力学预测模型的发展补充了有限元分析和实验。 这些模型将提供理解和广泛的直觉加工参数对切削过程行为的影响。这项工作对汽车和飞机零件的制造具有实际价值。

DMI-9800323 Feeny Material removal during milling may be steady or oscillatory, depending on materials, geometry, and parameters such as depth of cut and cutting speed. The dynamics of material removal affects the quality of the finished surface. This is reflected in the form of chips which may be smooth or segmented. The objective of this GOALI project is to derive models that describe these behaviors and their dependencies on parameters, and verify the models with experiments. Basic assumptions in an existing two-dimensional model for material removal, which accounts for the onset of chip segmentation, will be relaxed to allow the modeling of more phenomena and parameter dependencies which are observed experimentally. To verify the upgraded model, experiments are to be conducted with orthogonal and conventional cutting geometry on a high-speed milling machine at the Manufacturing Engineering Laboratory at NIST. Cutting will be monitored using a rotating spindle-mounted dynamometer with radio-frequency telemetry, high-bandwidth infrared temperature sensors and possibly ultrasonic emission sensors. The development of predictive models of cutting mechanics and dynamics complements finite-element analyses and experiments. These models will provide understanding and broad intuition on the effect of machining parameters on cutting process behavior. The work is practically valuable to the manufacture of automotive and aircraft parts.