Investigation of the tool flank wear influence on cutter-workpiece engagement and cutting force in micro milling processes

侧面 GSM演进的增强数据速率 刀具磨损 机械加工 机械工程 过程(计算) 半径 端铣 工程类 铣刀 刀具 工程制图 结构工程 计算机科学 电信 计算机安全 社会学 人类学 操作系统
作者
Shuaishuai Gao,Xianyin Duan,Kunpeng Zhu,Yu Zhang
出处
期刊:Mechanical Systems and Signal Processing [Elsevier BV]
卷期号:209: 111104-111104 被引量:10
标识
DOI:10.1016/j.ymssp.2024.111104
摘要

Cutting force modeling is essential for comprehending the dynamic mechanics of the micro-milling process. Accurate calculation of the cutter-workpiece engagement is crucial for predicting cutting force accurately. This study proposes an accurate analytical model of cutter-workpiece engagement that comprehensively incorporates tool flank wear, tool edge radius, and tool runout for predicting cutting forces in the micro-milling process. Based on the actual tool radius model, which takes into account tool flank wear and tool edge radius, a fast real-time online method for accurately calculating the entry and exit angles is presented. This method involves the trochoidal trajectories of the current cutting edge and all passing cutting edges from the previous cycle under the influence of tool runout. Then the cutter-workpiece engagement is determined. Based on this, the cutting force is predicted combined with instantaneous uncut chip thickness and cutting force coefficients considering tool flank wear and tool runout. Through micro-end milling experiments, the validity of the cutting force model is confirmed. The statistical analysis of the predicted cutting forces further demonstrates the effectiveness of accounting for the impact of tool flank wear on the cutting forces throughout the entire micro-milling process. Through case analysis, it is concluded that tool flank wear leads to increased cutter-workpiece engagement and significantly affects the cutting forces in three directions. This work could offer a theoretical foundation and practical guidance for predicting tool life and controlling surface quality during the machining process.

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