
Figure 1 Lathe test rig

Figure 2 Transmission system structure of the lathe
Test rig description
The measurements of the test rig (Figure 1) including a universal lathe (CZ6132A), an On Rotor Sensor (ORS) for triaxial acceleration signal, a microphone for acoustic signal, an accelerometer for vibration signal, a current transducer for AC motor electricity, an infrared camera for heat distribution on turning process. In addition to ORS, these data are acquired with a 24-bit, 4-channel, synchronous Data Acquisition (DAQ) system at a sampling rate of 3200Hz.
Instrumentation
The lathe transmission system as shown in Figure 2, is driven by three-phase AC asynchronous motor and is driven to the headstock by a pulley. When the clutch is combined, the spindle is driven by gears in gearbox. Machine processing and device status can be monitored by one or more sensors.
Typical monitoring parameters
No. | Influent factor | Typical monitoring parameters |
1 | Clamping way | One end fixed, the other free; One end fixed, the other pinned with tailstock. |
2 | Workpiece diameter | 8mm~22mm. |
3 | Depth of cut | 0.5mm, 1mm, 1.5mm. |
4 | Cutter tool | Tool wear, tool type. |
5 | Drive system failure | Gearbox fault, Motor faults, bearing faults, belt aging, tension problems |
Key publications
- [1] Zhexiang Zou, Yubin Lin, Bing Li, Qinyu Wu, Fengshou Gu, Andrew Ball, 2020. WCMEIM, In-process Monitoring of Turning Operations Based on Modulation Signal Bispectrum Analysis of Motor Current Signals.
- [2] Chun Li, Bing Li, Lichang Gu, Guojing Feng, Fengshou Gu, Andrew Ball, 2020. WCMEIM, Online Monitoring of a Shaft Turning Process based on Vibration Signals from On Rotor Sensor.
- [3] Bing Li, Lichang Gu, Yubin Lin, Zhexiang Zou, Siqin Pang, Kaibo Lu, Guojing Feng, Fengshou Gu, Andrew Ball, IncoME-V 2020, Vibration Monitoring of Turning a Shaft on a Lathe based on Signals from an On-rotor Sensor.
- [4] Zhexiang Zou, Shiqing Huang, Xinfeng Zou, Yubin Lin, Fengshou Gu, Andrew Ball, IncoME-V 2020, Current Analysis using a Modulation Signal Bispectrum for Machining Status Monitoring.