振动
机械加工
材料科学
镁合金
流离失所(心理学)
加速度
信号(编程语言)
傅里叶变换
结构工程
机械工程
合金
计算机科学
声学
工程类
复合材料
冶金
数学
物理
数学分析
心理学
心理治疗师
经典力学
程序设计语言
作者
Jarosław Korpysa,Ireneusz Zagórski
标识
DOI:10.17531/ein.2022.3.10
摘要
Machining vibrations are an important issue as they occur in all types of machining processes. Due to its negative impact on machining results, this phenomenon is undesirable, and so there have been continuous efforts to find solutions that will minimise it, and thus improve the stability and safety of the machining process. The paper attempts to determine the impact of toolholder type and cutting condition on the vibrations generated while milling an AZ31 magnesium alloy. The tests were performed using the three most common types of toolholders: ER, Shrink Fit and hydraulic. The vibration displacement and acceleration signals were analysed based on parameters such as Peak-to-Peak, Peak, and Root Mean Square. Composite Multiscale Entropy was also applied to check the stability of cutting processes and define the level of signal irregularity. To determine the frequencies of vibrations and to detect chatter vibrations Fast Fourier Transform was performed. This provides information on the stability and enables vibrations to be minimized by avoiding unfavourable cutting conditions.
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