BRAČUN, Drago ;PERDAN, Boštjan ;DIACI, Janez . Surface Defect Detection on Power Transmission Belts Using Laser Profilometry. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 57, n.3, p. 257-266, june 2018. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/sl/article/surface-defect-detection-on-power-transmission-belts-using-laser-profilometry/>. Date accessed: 20 dec. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2010.176.
Bračun, D., Perdan, B., & Diaci, J. (2011). Surface Defect Detection on Power Transmission Belts Using Laser Profilometry. Strojniški vestnik - Journal of Mechanical Engineering, 57(3), 257-266. doi:http://dx.doi.org/10.5545/sv-jme.2010.176
@article{sv-jmesv-jme.2010.176,
author = {Drago Bračun and Boštjan Perdan and Janez Diaci},
title = {Surface Defect Detection on Power Transmission Belts Using Laser Profilometry},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {57},
number = {3},
year = {2011},
keywords = {three-dimensional shape measurement; laser based active triangulation; laser profilometry; power transmission belts; surface defects; defect detection},
abstract = {Quality control in production of the power transmission belts currently relies mostly on visual inspection by skilled workers. They primary inspect belt geometry for defects like small bumps, dents and unformed teeth. Despite the controller experience, the result depends on the person’s mood and general condition. To avoid subjective inspection, an experimental system for automated inspection of the belt geometry is developed. It operates on the basis of the laser triangulation system, capable of acquiring a cloud of points in 3D space representing a complete belt surface. By processing the acquired data cloud, most typical belt defects can be identified and assessed. We demonstrate two different methods of data processing. The first one imitates the established “manual” procedure, where the individual tooth profile is compared to a template specified by a technical documentation. The second method uses a novel approach based on the deviation map. That enables automated analyses of the complete tooth surface (not only profile), identification of 4 typical surface defects and their pass/fail quality assessment. We found shape of the surface defects sufficiently recognizable in the acquired data cloud, which means that point measurement accuracy of the developed laser triangulation system is sufficient. We demonstrate identification of the typical surface defects. We found that further work is needed to develop pass/fail criteria of the quality assessment to comply with the requirements of the industry.},
issn = {0039-2480}, pages = {257-266}, doi = {10.5545/sv-jme.2010.176},
url = {https://www.sv-jme.eu/sl/article/surface-defect-detection-on-power-transmission-belts-using-laser-profilometry/}
}
Bračun, D.,Perdan, B.,Diaci, J. 2011 June 57. Surface Defect Detection on Power Transmission Belts Using Laser Profilometry. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 57:3
%A Bračun, Drago %A Perdan, Boštjan %A Diaci, Janez %D 2011 %T Surface Defect Detection on Power Transmission Belts Using Laser Profilometry %B 2011 %9 three-dimensional shape measurement; laser based active triangulation; laser profilometry; power transmission belts; surface defects; defect detection %! Surface Defect Detection on Power Transmission Belts Using Laser Profilometry %K three-dimensional shape measurement; laser based active triangulation; laser profilometry; power transmission belts; surface defects; defect detection %X Quality control in production of the power transmission belts currently relies mostly on visual inspection by skilled workers. They primary inspect belt geometry for defects like small bumps, dents and unformed teeth. Despite the controller experience, the result depends on the person’s mood and general condition. To avoid subjective inspection, an experimental system for automated inspection of the belt geometry is developed. It operates on the basis of the laser triangulation system, capable of acquiring a cloud of points in 3D space representing a complete belt surface. By processing the acquired data cloud, most typical belt defects can be identified and assessed. We demonstrate two different methods of data processing. The first one imitates the established “manual” procedure, where the individual tooth profile is compared to a template specified by a technical documentation. The second method uses a novel approach based on the deviation map. That enables automated analyses of the complete tooth surface (not only profile), identification of 4 typical surface defects and their pass/fail quality assessment. We found shape of the surface defects sufficiently recognizable in the acquired data cloud, which means that point measurement accuracy of the developed laser triangulation system is sufficient. We demonstrate identification of the typical surface defects. We found that further work is needed to develop pass/fail criteria of the quality assessment to comply with the requirements of the industry. %U https://www.sv-jme.eu/sl/article/surface-defect-detection-on-power-transmission-belts-using-laser-profilometry/ %0 Journal Article %R 10.5545/sv-jme.2010.176 %& 257 %P 10 %J Strojniški vestnik - Journal of Mechanical Engineering %V 57 %N 3 %@ 0039-2480 %8 2018-06-29 %7 2018-06-29
Bračun, Drago, Boštjan Perdan, & Janez Diaci. "Surface Defect Detection on Power Transmission Belts Using Laser Profilometry." Strojniški vestnik - Journal of Mechanical Engineering [Online], 57.3 (2011): 257-266. Web. 20 Dec. 2024
TY - JOUR AU - Bračun, Drago AU - Perdan, Boštjan AU - Diaci, Janez PY - 2011 TI - Surface Defect Detection on Power Transmission Belts Using Laser Profilometry JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2010.176 KW - three-dimensional shape measurement; laser based active triangulation; laser profilometry; power transmission belts; surface defects; defect detection N2 - Quality control in production of the power transmission belts currently relies mostly on visual inspection by skilled workers. They primary inspect belt geometry for defects like small bumps, dents and unformed teeth. Despite the controller experience, the result depends on the person’s mood and general condition. To avoid subjective inspection, an experimental system for automated inspection of the belt geometry is developed. It operates on the basis of the laser triangulation system, capable of acquiring a cloud of points in 3D space representing a complete belt surface. By processing the acquired data cloud, most typical belt defects can be identified and assessed. We demonstrate two different methods of data processing. The first one imitates the established “manual” procedure, where the individual tooth profile is compared to a template specified by a technical documentation. The second method uses a novel approach based on the deviation map. That enables automated analyses of the complete tooth surface (not only profile), identification of 4 typical surface defects and their pass/fail quality assessment. We found shape of the surface defects sufficiently recognizable in the acquired data cloud, which means that point measurement accuracy of the developed laser triangulation system is sufficient. We demonstrate identification of the typical surface defects. We found that further work is needed to develop pass/fail criteria of the quality assessment to comply with the requirements of the industry. UR - https://www.sv-jme.eu/sl/article/surface-defect-detection-on-power-transmission-belts-using-laser-profilometry/
@article{{sv-jme}{sv-jme.2010.176},
author = {Bračun, D., Perdan, B., Diaci, J.},
title = {Surface Defect Detection on Power Transmission Belts Using Laser Profilometry},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {57},
number = {3},
year = {2011},
doi = {10.5545/sv-jme.2010.176},
url = {https://www.sv-jme.eu/sl/article/surface-defect-detection-on-power-transmission-belts-using-laser-profilometry/}
}
TY - JOUR AU - Bračun, Drago AU - Perdan, Boštjan AU - Diaci, Janez PY - 2018/06/29 TI - Surface Defect Detection on Power Transmission Belts Using Laser Profilometry JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 57, No 3 (2011): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2010.176 KW - three-dimensional shape measurement, laser based active triangulation, laser profilometry, power transmission belts, surface defects, defect detection N2 - Quality control in production of the power transmission belts currently relies mostly on visual inspection by skilled workers. They primary inspect belt geometry for defects like small bumps, dents and unformed teeth. Despite the controller experience, the result depends on the person’s mood and general condition. To avoid subjective inspection, an experimental system for automated inspection of the belt geometry is developed. It operates on the basis of the laser triangulation system, capable of acquiring a cloud of points in 3D space representing a complete belt surface. By processing the acquired data cloud, most typical belt defects can be identified and assessed. We demonstrate two different methods of data processing. The first one imitates the established “manual” procedure, where the individual tooth profile is compared to a template specified by a technical documentation. The second method uses a novel approach based on the deviation map. That enables automated analyses of the complete tooth surface (not only profile), identification of 4 typical surface defects and their pass/fail quality assessment. We found shape of the surface defects sufficiently recognizable in the acquired data cloud, which means that point measurement accuracy of the developed laser triangulation system is sufficient. We demonstrate identification of the typical surface defects. We found that further work is needed to develop pass/fail criteria of the quality assessment to comply with the requirements of the industry. UR - https://www.sv-jme.eu/sl/article/surface-defect-detection-on-power-transmission-belts-using-laser-profilometry/
Bračun, Drago, Perdan, Boštjan, AND Diaci, Janez. "Surface Defect Detection on Power Transmission Belts Using Laser Profilometry" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 57 Number 3 (29 June 2018)
Strojniški vestnik - Journal of Mechanical Engineering 57(2011)3, 257-266
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
Quality control in production of the power transmission belts currently relies mostly on visual inspection by skilled workers. They primary inspect belt geometry for defects like small bumps, dents and unformed teeth. Despite the controller experience, the result depends on the person’s mood and general condition. To avoid subjective inspection, an experimental system for automated inspection of the belt geometry is developed. It operates on the basis of the laser triangulation system, capable of acquiring a cloud of points in 3D space representing a complete belt surface. By processing the acquired data cloud, most typical belt defects can be identified and assessed. We demonstrate two different methods of data processing. The first one imitates the established “manual” procedure, where the individual tooth profile is compared to a template specified by a technical documentation. The second method uses a novel approach based on the deviation map. That enables automated analyses of the complete tooth surface (not only profile), identification of 4 typical surface defects and their pass/fail quality assessment. We found shape of the surface defects sufficiently recognizable in the acquired data cloud, which means that point measurement accuracy of the developed laser triangulation system is sufficient. We demonstrate identification of the typical surface defects. We found that further work is needed to develop pass/fail criteria of the quality assessment to comply with the requirements of the industry.