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Review and Methodology on Vision-based Sensing Approach in Metal Additive Manufacturing Process

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Proceedings of 10th International Conference on Mechatronics and Control Engineering (ICMCE 2021)

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Abstract

Additive Manufacturing (AM) of metallic objects is the process of adding layer-upon-layer of material to produce a hard-compact physical object. During the deposition, many process parameters, such as thermal history, power, material feeding rate, microstructure, etc., are involved and need to be regulated. The soar of the 3D printing process in various sectors has recently added a set of challenges, creating a massive demand for an automated process monitor to ensure a good deposition. In this paper, a literature review of vision-based techniques in additive manufacturing process is presented. A molten pool profile extraction methodology is performed. The image processing results can be used to create a visual monitoring technique and inspire future research in the use of vision sensing in 3D printing process.

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Acknowledgments

This work was supported by the Interrreg V-A Grande Région “Fabrication Additive par Dépôt de Fil” (Fafil) project.

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Correspondence to Natago Guilé Mbodj .

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Mbodj, N.G., Plapper, P. (2023). Review and Methodology on Vision-based Sensing Approach in Metal Additive Manufacturing Process. In: Conte, G., Sename, O. (eds) Proceedings of 10th International Conference on Mechatronics and Control Engineering . ICMCE 2021. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-1540-6_3

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  • DOI: https://doi.org/10.1007/978-981-19-1540-6_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-1539-0

  • Online ISBN: 978-981-19-1540-6

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