Modeling the effect of processing parameters on temperature history in Directed Energy Deposition: an analytical and finite element approach
ISSN: 1355-2546
Article publication date: 21 December 2023
Issue publication date: 7 February 2024
Abstract
Purpose
The purpose of this paper is to assess the feasibility of analytical models, specifically the radial basis function method, Akbari–Ganji method and Gaussian method, in conjunction with the finite element method. The aim is to examine the impact of processing parameters on temperature history.
Design/methodology/approach
Through analytical investigation and finite element simulation, this research examines the influence of processing parameters on temperature history. Simufact software with a thermomechanical approach was used for finite element simulation, while radial basis function, Akbari–Ganji and Gaussian methods were used for analytical modeling to solve the heat transfer differential equation.
Findings
The accuracy of both finite element and analytical methods was validated with about 90%. The findings revealed direct relationships between thermal conductivity (from 100 to 200), laser power (from 400 to 800 W), heat source depth (from 0.35 to 0.75) and power absorption coefficient (from 0.4 to 0.8). Increasing the values of these parameters led to higher temperature history. On the other hand, density (from 7,600 to 8,200), emission coefficient (from 0.5 to 0.7) and convective heat transfer (from 35 to 90) exhibited an inverse relationship with temperature history.
Originality/value
The application of analytical modeling, particularly the utilization of the Akbari–Ganji, radial basis functions and Gaussian methods, showcases an innovative approach to studying directed energy deposition. This analytical investigation offers an alternative to relying solely on experimental procedures, potentially saving time and resources in the optimization of DED processes.
Keywords
Acknowledgements
The authors from University of Aveiro greatly acknowledge the work which was supported by the projects UIDB/00481/2020 and UIDP/00481/2020 – Fundação para a Ciência e a Tecnologia; and CENTRO-01-0145-FEDER-022083 – Centro Portugal Regional Operational Programme (Centro2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund. Also, Thanks to FCT for Ph.D. scholarships No. UI/BD/151258/2021.
Since submission of this article, the following authors have updated their affiliations: Mehran Ghasempour-Mouziraji, Daniel Afonso and Ricardo Alves de Sousa is at the LASI – Intelligent Systems Associate Laboratory, Guimarães, Portugal and Mojtaba Najafizadeh is at the Faculty of Chemical and Materials Engineering, Shahrood University of Technology, Shahrood, Iran.
Citation
Ghasempour-Mouziraji, M., Afonso, D., Hosseinzadeh, S., Goulas, C., Najafizadeh, M., Hosseinzadeh, M., Ganji, D.D. and Alves de Sousa, R. (2024), "Modeling the effect of processing parameters on temperature history in Directed Energy Deposition: an analytical and finite element approach", Rapid Prototyping Journal, Vol. 30 No. 2, pp. 338-349. https://doi.org/10.1108/RPJ-05-2023-0165
Publisher
:Emerald Publishing Limited
Copyright © 2023, Emerald Publishing Limited