Three-Dimensional Geometry Profile Extraction of Deposits Using Linear Laser Scanning in the Directed Energy Deposition Additive Manufacturing Method

Articles in Press

Document Type : Original Article

Authors

1 Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

2 Mechanical engineering, engineering faculty, Ferdowsi University of Mashhad

3 MSc student, Department of Mechanical Engineering, University of Pittsburgh, Pittsburgh, United States

10.22034/ijme.2024.435811.1919

Abstract

This research is focused on the examination of laser and its application in additive manufacturing. Additive manufacturing is a process in which a three-dimensional model is manufactured layer by layer and from the bottom up. Advances in this powerful and promising process have resulted in a rise in the demand for its applications in the industry. However, controlling the geometry of the deposited material throughout the additive manufacturing process remains a significant challenge. Geometric control and correspondence with the target geometry are key subjects in the additive manufacturing process. This research aims to obtain geometric data of the three-dimensional profile in deposition using the Direct Energy Deposition (DED) method. By imaging the interface of a laser line and the surface of the coating and extracting the resulting line using image processing methods, the profile of one section of the coating is obtained. By applying the same steps to all of the coating's sections and stacking the images, a three-dimensional profile of the coating's profile is constructed. By checking the correspondence between the proposed algorithm's output image and a microscopic image of the same section, the accuracy of this method is assessed. The result of the comparison between these two images indicates an error of 0.29 mm in width and -0.07 mm in height, falling within the range of error defined by ISO guidelines.

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Iranian Journal of Manufacturing Engineering

Articles in Press, Accepted Manuscript
Available Online from 25 February 2024

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