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Modal analysis of machine tools using visual vibrometry and output-only methods
CIRP Annals ( IF 4.1 ) Pub Date : 2020-01-01 , DOI: 10.1016/j.cirp.2020.04.043
Mohit Law , Pulkit Gupta , Suparno Mukhopadhyay

Abstract This paper presents visual vibrometry as a new video camera-based vibration measuring technique for machine tools. Pixels within images from recordings of the vibrating machine are treated as motion sensors to detect and track vibrating edges. Modal parameters are extracted from the measured pixel-displacement time series data using output-only mass-change methods. Methods are experimentally demonstrated on a small milling machine, on a slender boring bar, and on a regular end mill. Modal parameters extracted using visual vibrometry agree with those extracted using experimental modal analysis procedures. Moreover, visual vibrometry aids shape visualization and maintains advantages of other non-contact measurement techniques.

中文翻译:

使用视觉振动测量法和仅输出方法对机床进行模态分析

摘要 本文介绍了视觉振动测量作为一种新的基于摄像机的机床振动测量技术。来自振动机器记录的图像中的像素被视为运动传感器,以检测和跟踪振动边缘。使用仅输出质量变化方法从测量的像素位移时间序列数据中提取模态参数。方法在小型铣床、细长镗杆和普通立铣刀上进行了实验演示。使用视觉振动测量法提取的模态参数与使用实验模态分析程序提取的模态参数一致。此外,视觉振动测量有助于形状可视化并保持其他非接触式测量技术的优势。
更新日期:2020-01-01
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