Milling stability prediction method and system and storage medium

Abstract

The invention relates to a milling stability prediction method and system and a storage medium. The method comprises the steps: establishing a single-degree-of-freedom milling kinetic model; performing integral solving on the milling state equation; obtaining a state transition matrix through the milling state equation after integral solving; obtaining a stability lobe graph of the milling system,and completing stability prediction. According to the method, the stability lobe diagram of the milling process can be accurately obtained, and the stability diagram is used for selecting stable machining parameters. The method can be widely applied to the field of milling stability prediction in machining.

Description

technical field [0001] The invention relates to the field of milling stability prediction in mechanical processing, in particular to a milling stability prediction method, system and storage medium. Background technique [0002] Due to its wide accessibility and flexible tool paths, milling is widely used in the manufacture of complex curved surface parts such as engine impellers and gas turbine blades. The milling cutter has a large length-to-diameter ratio, a large overhang after clamping, and complex vibration forms of the process system, so the milling process is prone to instability and chatter. Chatter can reduce the surface quality of the workpiece, increase the dimensional error of the workpiece, cause tool wear and even destroy the machining performance of the machine tool. Chatter-free milling is of great significance in industrial production. Milling chatter is different from traditional mechanical faults. This kind of vibration is mostly caused by unreasonable ...

AI Technical Summary

Problems solved by technology

The modal parameters of the tool nose have an important impact on the cutting performance of the milling system. Obtaining accurate modal parameters is an important prerequisite to ensure the accuracy of prediction. The current method of obtaining the modal parameters of the tool tip usually installs the acceleration sensor on the tool tip and uses a hammer Hammer test, the disadvantage of this method is that the sensor is in direct contact with the tip of the tool, which affects the dynamic response of the tool tip, resulting in a certain error between the obtained modal parameters and the actual value, resulting in the prediction of the obtained stability lobe diagram Reduced accuracy

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