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Published in: Metals and Materials International 5/2020

23-07-2019

Empirical-Statistical Modeling and Prediction of Geometric Characteristics for Laser-Aided Direct Metal Deposition of Inconel 718 Superalloy

Authors: Saeedeh Jelvani, Reza Shoja Razavi, Masoud Barekat, Mohammadreza Dehnavi

Published in: Metals and Materials International | Issue 5/2020

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Abstract

It is requisite in laser-aided direct metal deposition (LADMD) to investigate the influence of three key process parameters (laser power, scanning speed, and powder feeding rate) on geometric characteristics of single-track deposits so as to acquire LADMD deposits with minimum defects and controlled geometric accuracy. In this study, LADMD of Inconel 718 superalloy was studied and the dependency of geometric characteristics on key process parameters was investigated as a combined parameter (PαVβFγ). A simple empirical-statistical modeling was used employing linear regression method. The results showed that the geometric characteristics had a linear relationship with a combined parameter including three/two key process parameters together. The height and wetting angle of single-track deposits were dependent on P2V−1F1 and P3/2V−1F1, respectively. The width of single-track deposits was dependent on P2V−1/4 but it was independent of powder feeding rate. The dilution of single-track deposits depended on V1F−1 while laser power had no effect on it. A process map is developed to enable optimization of the process parameters in LADMD process of Inconel 718.

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Metadata
Title
Empirical-Statistical Modeling and Prediction of Geometric Characteristics for Laser-Aided Direct Metal Deposition of Inconel 718 Superalloy
Authors
Saeedeh Jelvani
Reza Shoja Razavi
Masoud Barekat
Mohammadreza Dehnavi
Publication date
23-07-2019
Publisher
The Korean Institute of Metals and Materials
Published in
Metals and Materials International / Issue 5/2020
Print ISSN: 1598-9623
Electronic ISSN: 2005-4149
DOI
https://doi.org/10.1007/s12540-019-00355-7

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