Abstract
To assess cutting-tools degradation, mounted accelerometers and current clamp probes were used to acquire machining vibration for both the band-saw machine and the drilling machine, of which a structural-steel machining center is composed. Significant features were first extracted through spectral analysis, and tool degradation assessment was conducted through using a supervised learning scheme, self-organizing map. The results reveal that 10% remaining useful life can be predicted before the band-saws and drills wore out.
| Original language | English |
|---|---|
| Title of host publication | Advanced Manufacturing |
| Publisher | American Society of Mechanical Engineers (ASME) |
| ISBN (Electronic) | 9780791884492 |
| DOIs | |
| State | Published - 2020 |
| Event | ASME 2020 International Mechanical Engineering Congress and Exposition, IMECE 2020 - Virtual, Online Duration: 16 Nov 2020 → 19 Nov 2020 |
Publication series
| Name | ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) |
|---|---|
| Volume | 2B-2020 |
Conference
| Conference | ASME 2020 International Mechanical Engineering Congress and Exposition, IMECE 2020 |
|---|---|
| City | Virtual, Online |
| Period | 16/11/20 → 19/11/20 |
Keywords
- Feature extraction
- Remaining useful life
- Self-organizing map
- Structural-steel machining
- Tool degradation assessment
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Dive into the research topics of 'Cutting-tools degradation assessment for structural-steel machining centers'. Together they form a unique fingerprint.Projects
- 1 Finished
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Development of Smart-Automation Laser Processing System with Iot-Based Machining-Integration Services( II )
Tung, P.-C. (PI)
1/12/19 → 31/10/20
Project: Research
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