
The State Analysis of Five-axis NC Machine with Large Torque Mechanical Spindle Based on Hilbert Transform
Author(s) -
Yaohuimei Fu,
Yuanmeng Xia,
Xuezhen Chen,
Guobo Zhao,
Yun Zhang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/793/1/012045
Subject(s) - torque , machine tool , machining , aerospace , mechanical engineering , process (computing) , hilbert transform , computer science , curvature , numerical control , amplitude , engineering , control theory (sociology) , mathematics , artificial intelligence , physics , geometry , computer vision , control (management) , optics , aerospace engineering , filter (signal processing) , thermodynamics , operating system
Only five-axis machine with large torque mechanical spindle is capable to complete the process of titanium alloy aerospace structure in general. But mechanical spindle is too complex to locate the fault rapidly when the part shows anomalies or damage, and this reduces high-value machine’s utilization rate as well as brings difficulties in solving part’s quality problems. Pointing at surface quality problems and spindle component’s wearing down that emerge frequently, this paper simulates various parameters in NC(numerically controlled) machining process and monitors spindle states of a five-axis machine with large torque mechanical spindle, then amplitude, time-frequency, and frequency curvature characteristics of the tested signals are obtained by Hilbert Transform and fast identification of key component’s wearing down is realized. The results show that the state analysis method of five-axis NC machine with large torque mechanical spindle based on Hilbert transform presented in this paper has strong engineering application value.