Metallurgical Engineering

Metallurgical Engineering

Multiple regression analysis between key variables of direct laser deposition process and geometry of Inconel 718 superalloy clads on 316 stainless steel substrate

Document Type : Research Paper

Authors
Milad Karimi 1
Mahmoud Sarkari Khorrami 2
Ghasem Azimi-Roeen 3
Farshid Kashani 4
1 MSc. Student, School of Metallurgy and Materials Engineering, Collage of Engineering, University of Tehran, Tehran, Iran.
2 Assistant Professor, School of Metallurgy and Materials Engineering, Collage of Engineering, University of Tehran, Tehran, Iran.
3 Assistant Professor, Center of Engineering and Technical Skills Training, Isfahan University of Technology, Isfahan, Iran.
4 Professor, Center of Engineering and Technical Skills Training, Isfahan University of Technology, Isfahan, Iran.
10.22076/me.2023.1983169.1371
Abstract
One of the additive manufacturing methods is deposition with direct energy, which is used to produce and repair complex parts in industries. This method includes a set of variables that significantly affect the geometry of deposited layers. In this research, the effect of power and laser scanning speed on the geometrical features (width, height, and wetting angle) of Inconel 718 clads on 316 stainless steel substrate has been investigated. Based on the experimental results, the mathematical equations for the relationship between the crucial variables of the process and the geometry of the clads were established by the method of multiple regression analysis, and the results showed that the measured data is consistent with the predicted one. Based on the equations, it was predicted that the laser scanning speed has a decreasing effect on all the investigated geometric features of the clads while the laser power has an increasing effect on the width and height of the clads and a decreasing effect on the wetting angle.
Keywords
Additive manufacturing؛ Deposition with direct laser energy
Inconel 718
Clad geometry characteristics
Regression analysis
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  • Receive Date 20 December 2022
  • Revise Date 09 November 2023
  • Accept Date 13 November 2023