A method for predicting the remaining life of a ball end milling cutter for machining chrome steel blade profiles

Abstract

The invention discloses a remaining-life predicting method for a ball end mill for a chrome steel blade profile. The remaining-life predicting method includes the steps that a series of average widths and corresponding machined life data of a friction band of the back mill face of the ball end mill are obtained in an experiment measuring mode; a remaining life predicting relation and a full-life function relation of the ball end mill are built according to the measured data; in the process that the chrome steel blade profile is practically machined through the ball end mill, the remaining machining life of the ball end mill is predicted in cooperation with the remaining life predicting relation and the full-life function relation of the ball end mill, wherein the profile of a chrome steel blade sample is milled through the ball end mill, the deflection angle between the outer normal of the profile and the center line of the ball end mill is 10 degrees, the average width and the machined life of the friction band of the back mill face are measured and recorded at a certain machining time interval, the remaining life predicting relation and the full-life function relation of the ball end mill are built according to the measured data, and then the remaining machining life of the ball end mill is predicted. According to the remaining-life predicting method, operation is easy and efficient, prediction accuracy is high, and the service life of the mill is sufficiently excavated.

Description

technical field [0001] The invention relates to metal cutting tools, in particular to a method for predicting the remaining life of a ball-end milling cutter used for machining chrome steel blade profiles, and belongs to the technical field of mechanical cutting. Background technique [0002] With the rapid development of CNC machining technology in my country's manufacturing industry, the application of CNC machine tools in automated production is becoming more and more common. As one of the core components in the manufacturing system, the cost of cutting tools accounts for up to 7% of the entire manufacturing system, but its life is the weakest link. CNC machining tools are prone to wear and damage, which will not only affect the quality of the workpiece, but also may bring potential safety hazards. Therefore, the tools that have reached the blunt standard should be stopped and ground immediately. However, limited by the tool material and edge shape accuracy, the number o...

AI Technical Summary

Problems solved by technology

However, some of the above-mentioned patents only prolong the service life of the tool by adjusting the processing parameters, and do not predict the remaining life of the tool to fully tap the remaining potential of the tool; although some have given the prediction method of the remaining life of the tool, However, either the mathematical model is complex and inconvenient for practical application, or high-precision testing equipment is built, which is expensive; some simply rely on traditional theoretical formulas and processing experience to predict tool life, and the calculation is difficult and inefficient.

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