Detection of fracture in ceramic cutting tools from workpiece profile signature using image processing and fast Fourier transform
A non-contact vision-based method to detect the occurrence of fracture in ceramic cutting tool inserts using the workpiece profile signature is proposed. Machining experiments were carried out to turn stain-less steel using ceramic cutting tool inserts. The images of the workpiece profile were capture...
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| Format: | Article |
| Language: | English |
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Elsevier Ltd
2016
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| Online Access: | http://eprints.uthm.edu.my/4916/1/AJ%202017%20%28239%29%20Detection%20of%20fracture%20in%20ceramic%20cutting%20tools.pdf |
| _version_ | 1796869108351893504 |
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| author | Lee, W.K. Ratnam, M.M. Ahmad, Z.A. |
| author_facet | Lee, W.K. Ratnam, M.M. Ahmad, Z.A. |
| author_sort | Lee, W.K. |
| collection | UTHM |
| description | A non-contact vision-based method to detect the occurrence of fracture in ceramic cutting tool inserts using the workpiece profile signature is proposed. Machining experiments were carried out to turn stain-less steel using ceramic cutting tool inserts. The images of the workpiece profile were captured after each turning pass using a high-resolution DSLR camera. The edge profiles of the workpiece were extracted to sub-pixel accuracy using the invariant moment method. The extracted profiles were transformed from the spatial domain to the frequency domain using Fast Fourier Transform (FFT). From the Fourier spec-trum the amplitude of the fundamental feed frequency was observed to increase steadily with the cutting duration during gradual wear of the tool edge. However, significant fluctuations in the amplitude of the fundamental feed frequency were observed after the onset of chipping and fracture due to the contin-uous deterioration of the cutting edge. This was caused by the irregular peak-to-valley heights in the workpiece surface profile resulting from the fractured tool at the end of the cutting time of 84.8 s. |
| first_indexed | 2024-03-05T21:49:53Z |
| format | Article |
| id | uthm.eprints-4916 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:49:53Z |
| publishDate | 2016 |
| publisher | Elsevier Ltd |
| record_format | dspace |
| spelling | uthm.eprints-49162021-12-23T08:23:30Z http://eprints.uthm.edu.my/4916/ Detection of fracture in ceramic cutting tools from workpiece profile signature using image processing and fast Fourier transform Lee, W.K. Ratnam, M.M. Ahmad, Z.A. T Technology (General) TA1501-1820 Applied optics. Photonics TJ1040-1119 Machinery exclusive of prime movers A non-contact vision-based method to detect the occurrence of fracture in ceramic cutting tool inserts using the workpiece profile signature is proposed. Machining experiments were carried out to turn stain-less steel using ceramic cutting tool inserts. The images of the workpiece profile were captured after each turning pass using a high-resolution DSLR camera. The edge profiles of the workpiece were extracted to sub-pixel accuracy using the invariant moment method. The extracted profiles were transformed from the spatial domain to the frequency domain using Fast Fourier Transform (FFT). From the Fourier spec-trum the amplitude of the fundamental feed frequency was observed to increase steadily with the cutting duration during gradual wear of the tool edge. However, significant fluctuations in the amplitude of the fundamental feed frequency were observed after the onset of chipping and fracture due to the contin-uous deterioration of the cutting edge. This was caused by the irregular peak-to-valley heights in the workpiece surface profile resulting from the fractured tool at the end of the cutting time of 84.8 s. Elsevier Ltd 2016 Article PeerReviewed text en http://eprints.uthm.edu.my/4916/1/AJ%202017%20%28239%29%20Detection%20of%20fracture%20in%20ceramic%20cutting%20tools.pdf Lee, W.K. and Ratnam, M.M. and Ahmad, Z.A. (2016) Detection of fracture in ceramic cutting tools from workpiece profile signature using image processing and fast Fourier transform. Precision Engineering, 44. pp. 131-142. ISSN 0141-6359 http://dx.doi.org/10.1016/j.precisioneng.2015.11.001 |
| spellingShingle | T Technology (General) TA1501-1820 Applied optics. Photonics TJ1040-1119 Machinery exclusive of prime movers Lee, W.K. Ratnam, M.M. Ahmad, Z.A. Detection of fracture in ceramic cutting tools from workpiece profile signature using image processing and fast Fourier transform |
| title | Detection of fracture in ceramic cutting tools from workpiece profile signature using image processing and fast Fourier transform |
| title_full | Detection of fracture in ceramic cutting tools from workpiece profile signature using image processing and fast Fourier transform |
| title_fullStr | Detection of fracture in ceramic cutting tools from workpiece profile signature using image processing and fast Fourier transform |
| title_full_unstemmed | Detection of fracture in ceramic cutting tools from workpiece profile signature using image processing and fast Fourier transform |
| title_short | Detection of fracture in ceramic cutting tools from workpiece profile signature using image processing and fast Fourier transform |
| title_sort | detection of fracture in ceramic cutting tools from workpiece profile signature using image processing and fast fourier transform |
| topic | T Technology (General) TA1501-1820 Applied optics. Photonics TJ1040-1119 Machinery exclusive of prime movers |
| url | http://eprints.uthm.edu.my/4916/1/AJ%202017%20%28239%29%20Detection%20of%20fracture%20in%20ceramic%20cutting%20tools.pdf |
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