A monitoring method of chatter in machining process
A machining and flutter technology, applied in the field of flutter monitoring and intelligent monitoring during machining, to improve real-time monitoring capabilities, meet speed requirements, and reduce computational complexity
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Embodiment 1
[0075] The threshold of the fractal dimension is an important criterion for judging whether flutter occurs. This embodiment introduces a case of determining the threshold through a histogram. The following is attached figure 2 , which specifically describes the implementation of the present invention in determining the threshold, including the following steps.
[0076] Step 1. Carry out the cutting test. The vibration sensor is placed at the end of the spindle of the machine tool. The signal acquisition device sends the collected vibration signal to the computer. The cutting speed is 7000rpm, 8000rpm, 9000rpm and 10000rpm respectively, and the cutting depth is 3mm, 4mm and 5mm respectively. , 6mm, cutting an aluminum plate of 100mm×100mm, a total of 16 sets of experimental data, 7 sets of chatter occurred, the details are as follows image 3 shown;
[0077] Step 2, the sliding window model such as Figure 4 , the fixed window size is 800 data points, and the step size is 1...
Embodiment 2
[0090] A method for on-line monitoring of chatter during mechanical processing, the implementation process is as follows figure 1 shown, including the following steps:
[0091] Step 1. Collect the original vibration signals in the X, Y, and Z directions during the milling process of the machine tool through vibration sensors and data acquisition cards. Usually, when the machine tool chatters, the energy is mainly concentrated between 3000 and 5000 Hz , so the sampling frequency f is greater than 9600Hz;
[0092] Step 2, the sliding window model such as Figure 4 As shown, according to the sampling frequency, N=800 is selected as the size of the sliding window. If the sliding window step size is 1 data point, each time a new data point is collected, the fractal dimension of the signal is calculated once;
[0093] Step 3. The data point given in the sliding window is p i =(x i ,y i ), i=1, 2, 3...N, the signal waveform can be stretched or compressed along the horizontal dir...
Embodiment 3
[0099] An on-line chatter monitoring method during mechanical processing, based on fractal analysis of time series signals, the implementation process is as follows figure 1 shown, including the following steps:
[0100] Step 1. Collect the original vibration signals in the X, Y, and Z directions during the milling process of the machine tool through vibration sensors and data acquisition cards. Usually, when the machine tool chatters, the energy is mainly concentrated between 3000 and 6000 Hz , so the sampling frequency f is greater than 9600Hz;
[0101] Step 2, the sliding window model such as Figure 4 As shown, according to the sampling frequency, N=800 is selected as the size of the sliding window. If the sliding window step size is 1 data point, each time a new data point is collected, the fractal dimension of the signal is calculated once;
[0102] Step 3. After stretching and changing the given data point in the sliding window, set the coordinate value of the data po...
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