Title

Detection and Tracking of Melt Pool in Blown Powder Deposition through Image Processing of Infrared Camera Data

Abstract

Blown powder deposition is an additive manufacturing procedure and has the ability to fabricate complicated and intricate geometries with excellent material properties. Reliable fabrication of complicated shapes and geometries necessitates precise control over the fabrication process. In order to do so, process monitoring tools capable of visualizing various phenomena that occur during the deposition process are needed. Knowledge of process dynamics is critical in optimizing and developing robust and effective deposition procedures.

The work presented in the current chapter involves the incorporation of an Infra-Red (IR) camera as a vision-based monitoring tool for blown powder deposition process. The data processing methodology necessary for analyzing IR data is also presented. In this chapter, the thermal history of the process was captured under different powder feed settings. These deposition processes were performed under the control of vision-based closed loop control systems. Using the IR camera, the influence of the control systems was captured as the thermal history of the deposits. This data was analyzed for tracking changes in the area of the material near solidus temperature.

The later section of the chapter focuses on further dissecting thermographic data to identify the material above the solidus temperature. Image processing techniques related to edge detection were used to identify these regions. The IR camera data was also used to track the regions of interest through the deposition and make other characteristic observations pertaining to phase change in relation to thin wall geometry.

Department(s)

Mechanical and Aerospace Engineering

International Standard Book Number (ISBN)

978-3-030-22586-5; 978-3-030-22589-6; 978-3-030-22587-2

Document Type

Book - Chapter

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2019 Springer, All rights reserved.

Publication Date

30 Sep 2019

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