Mathematical Analyzing of Laser Triangulation System without Scheimpflug Condition via C++ and Qt Framework

Orkun Kasapoglu; Tugba Bılgın

doi:10.55549/epstem.1334968

Conference Paper

Year 2023, Volume: 22, 1 - 14, 01.09.2023

Orkun Kasapoglu Tugba Bılgın

https://doi.org/10.55549/epstem.1334968

Abstract

References

Bracun, D., Gruden, V., & Mozina, J. (2008). A method for surface quality assessment of die-casting based on laser triangulation. Measurement Science and Technology, 19(4), 045707.
Cajal, C., Santolaria, J., Samper, D., & Garrido, A. (2015). Simulation of laser triangulation sensors scanning for design and evaluation purposes. International Journal of Simulation Model,14(2), 250 – 264.
Donges, A., & Noll, R. (2015). Springer series in optical sciences - laser measurement technology: Fundamentals and applications Volume 188. ( pp. 247 – 279), Springer.
França, J. G. D. M., Gazziro, M. A., Ide, A. N., & Saito, J. H. (2005). A 3d scanning system based on laser triangulation and variable field of view. IEEE International Conference on Image Processing 2005, 1 , (p.425).
Lamott, A., & Noll, R., (2011). Tailored light 2 – laser application technology (RWTH ed.). (pp .473 – 537). Springer.
Poredoš, P., Povšič, K., Novak, B., Jezeršek, M. (2015), Three-dimensional measurements of bodies in motion based on multiple laser-plane triangulation. Revista Technica de la Facultad de Ingenieria Universidad del Zulia, 38(2), 53-61.
Ye, Z., Lianpo, W., Gu, Y., Chao, Z., Jiang, B., & Ni, J. (2018). A laser triangulation-based 3D measurement system for inner surface of deep holes. Proceedings of the ASME 2018 : 13th International Manufacturing Science and Engineering Conference, Texas, USA.
Zhang, L., Zhao, M., Zou, Y., & Gao, S. (2008). A new surface inspection method of TWBS based on active laser triangulation. 7th World Congress of Intelligent Control and Automation. China.
Wu, J. H., Chang, R. S., & Jiang, J. A. (2007). A novel pulse measurement system by using laser triangulation and a CMOS image sensor. Sensors 2007, 7, 3366 – 3385.
Tong, Q., Jiao, C., Huang, H., Li, G., Ding, Z., & Yuan, F. (2014). An automatic measuring method and system using laser triangulation scanning for the marameters of a screw thread. Measurement Science and Technology, 25.
Donadello, S., Motta, M., Demir, A. G., & Previtali, B. (2018). Coaxial laser triangulation for height monitoring in laser metal deposition. 10th CIRP Conference on Photonic Technologies [LANE 2018],144 – 148.
Baozhen, G., Jingbin, S., Pengcheng, L., Qieni, L., & Di, W. (2013). Designing an optical set-up of differential laser triangulation for oil film thickness measurement on water. Review of Scientific Instruments, 84.

Mathematical Analyzing of Laser Triangulation System without Scheimpflug Condition via C++ and Qt Framework

Year 2023, Volume: 22, 1 - 14, 01.09.2023

Orkun Kasapoglu Tugba Bılgın

https://doi.org/10.55549/epstem.1334968

Abstract

In this paper, the mathematical characteristics of a laser triangulation system have been analyzed without considering Scheimpflug condition. The system parameters have been investigated and detailed information about the behavior of the system due to the changing some initial parameters just before designing the profile measurement system have been obtained. To be able to evaluate the system, C++ and Qt framework have been used for calculation of multi-dimensional arrays and visualization of the results to investigate the system parameters. The characteristics of the triangulation systems (both for our model and the model that proposed by Lamott and Noll, 2011) and characteristics of laser beam (laser beam thickness change for given measurement field range) for different laser sources with different wavelengths have been investigated. After analyzing the parameters of the triangulation system successfully, an adjustable system will be built in the laboratory to be able to get a better understanding the usage of this system in both 2D and 3D laser cutting systems.

Keywords

Laser Triangulation , Image Processing , C++ , Qt

References

Bracun, D., Gruden, V., & Mozina, J. (2008). A method for surface quality assessment of die-casting based on laser triangulation. Measurement Science and Technology, 19(4), 045707.
Cajal, C., Santolaria, J., Samper, D., & Garrido, A. (2015). Simulation of laser triangulation sensors scanning for design and evaluation purposes. International Journal of Simulation Model,14(2), 250 – 264.
Donges, A., & Noll, R. (2015). Springer series in optical sciences - laser measurement technology: Fundamentals and applications Volume 188. ( pp. 247 – 279), Springer.
França, J. G. D. M., Gazziro, M. A., Ide, A. N., & Saito, J. H. (2005). A 3d scanning system based on laser triangulation and variable field of view. IEEE International Conference on Image Processing 2005, 1 , (p.425).
Lamott, A., & Noll, R., (2011). Tailored light 2 – laser application technology (RWTH ed.). (pp .473 – 537). Springer.
Poredoš, P., Povšič, K., Novak, B., Jezeršek, M. (2015), Three-dimensional measurements of bodies in motion based on multiple laser-plane triangulation. Revista Technica de la Facultad de Ingenieria Universidad del Zulia, 38(2), 53-61.
Ye, Z., Lianpo, W., Gu, Y., Chao, Z., Jiang, B., & Ni, J. (2018). A laser triangulation-based 3D measurement system for inner surface of deep holes. Proceedings of the ASME 2018 : 13th International Manufacturing Science and Engineering Conference, Texas, USA.
Zhang, L., Zhao, M., Zou, Y., & Gao, S. (2008). A new surface inspection method of TWBS based on active laser triangulation. 7th World Congress of Intelligent Control and Automation. China.
Wu, J. H., Chang, R. S., & Jiang, J. A. (2007). A novel pulse measurement system by using laser triangulation and a CMOS image sensor. Sensors 2007, 7, 3366 – 3385.
Tong, Q., Jiao, C., Huang, H., Li, G., Ding, Z., & Yuan, F. (2014). An automatic measuring method and system using laser triangulation scanning for the marameters of a screw thread. Measurement Science and Technology, 25.
Donadello, S., Motta, M., Demir, A. G., & Previtali, B. (2018). Coaxial laser triangulation for height monitoring in laser metal deposition. 10th CIRP Conference on Photonic Technologies [LANE 2018],144 – 148.
Baozhen, G., Jingbin, S., Pengcheng, L., Qieni, L., & Di, W. (2013). Designing an optical set-up of differential laser triangulation for oil film thickness measurement on water. Review of Scientific Instruments, 84.

There are 12 citations in total.

Details

Primary Language	English
Subjects	Programming Languages
Journal Section	Articles
Authors	Orkun Kasapoglu Tugba Bılgın
Early Pub Date	July 30, 2023
Publication Date	September 1, 2023
Published in Issue	Year 2023 Volume: 22

Cite

APA	Kasapoglu, O., & Bılgın, T. (2023). Mathematical Analyzing of Laser Triangulation System without Scheimpflug Condition via C++ and Qt Framework. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 22, 1-14. https://doi.org/10.55549/epstem.1334968