UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

A mathematical model of laser directed energy deposition for process mapping and geometry prediction of Ti-5553 single-tracks

Ansari, M; Martinez-Marchese, A; Huang, Y; Toyserkani, E; (2020) A mathematical model of laser directed energy deposition for process mapping and geometry prediction of Ti-5553 single-tracks. Materialia , 12 , Article 100710. 10.1016/j.mtla.2020.100710. Green open access

[thumbnail of 1-s2.0-S2589152920301277-main.pdf]
Preview
Text
1-s2.0-S2589152920301277-main.pdf - Accepted version

Download (2MB) | Preview

Abstract

This research aims to develop a time-efficient physics-based model for laser directed energy deposition through coaxial powder feeding (LDED-CPF). A clear understanding of the interaction of the laser beam, powder, and substrate and its effects on the temperature field and geometrical characteristics of the melt pool, is of tremendous importance. This research first tries to analytically couple the moving laser beam, the powder stream, and the semi-infinite substrate. A process model is then developed for single-track deposition and experimental validation is conducted by depositing a titanium alloy (Ti-5553) at different laser powers and carrier gas flow rates. Moreover, an alternative method is established to estimate the deposit height based on the melt-pool projection and a process window is developed to consider more physics. Using the developed model, the processing parameters can be efficiently selected and the geometry and temperature field can be predicted for the single-track depositions.

Type: Article
Title: A mathematical model of laser directed energy deposition for process mapping and geometry prediction of Ti-5553 single-tracks
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.mtla.2020.100710
Publisher version: https://doi.org/10.1016/j.mtla.2020.100710
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Additive manufacturing, Directed energy deposition, Analytical modeling, Process mapping, Temperature field, Geometry prediction
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10099109
Downloads since deposit
30Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item