The CNC development of the sawing and milling machining center for plastic door and window PVC profile based on Fanuc0

Zhang, Hui; Ai, Changsheng; Zhao, Fei; Ze, Xiangbo

doi:10.1109/wcica.2008.4593912

Cited by 1 publication

(1 citation statement)

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“…The first is the mode of operation shape of the process with XY , XZ , and XYZ axes [ 27 ] are shown in Figure 6 . The second is an analysis based on the same axes but with different materials Shown in Figure 7 , where the materials used are Styrofoam [ 28 ], wood [ 29 ], and plastic [ 30 ]. The 6 video samples of the CNC milling process were obtained from YouTube with the analysis range setting at 1000–1700 Hz.…”

Section: Methodsmentioning

confidence: 99%

Sound Detection Monitoring Tool in CNC Milling Sounds by K-Means Clustering Algorithm

Peng

Raihany

Kuo

et al. 2021

Sensors

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Computer numerical control (CNC) is a machine used in the manufacturing industry to produce components quickly for the engineering field or the desired shape. In the milling process carried out by CNC machines, sometimes vibrations occur that cause unwanted cracks or damage, which if left unchecked, will cause more severe damage. For this reason, this study describes how to monitor and analyze the sound produced by CNC during the milling process. This study uses six sound sample videos from YouTube, and there are two modes: (1) the operating mode is three different shapes with XY, XZ, and XYZ axes, and the second (2) is based on material differences. Namely, wood, Styrofoam, and plastic. The sound generated from all samples of the CNC milling processes will be detected using a sound detection program that has been designed in the LabVIEW using a simple microphone. The resulting sound frequency will be analyzed using the fast Fourier transform (FFT) process in spectral measurements, which will produce the amplitude and frequency of the detected sound in real time in the form of a graph. All frequency results that have been obtained from the sound detection monitoring tool in the CNC milling machine will be imported into the K-means clustering algorithm where the different frequencies between the resonant frequency and noise will be classified. Based on the experiments conducted, the sound detection program can detect sounds with a significant level of sensitivity.

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Section: Methodsmentioning

confidence: 99%