Experimental and numerical assessment of surface roughness for Ti6Al4V lattice elements in selective laser melting

Alghamdi, A, Downing, D, McMillan, M, Brandt, M, Ma, Q and Leary, M 2019, 'Experimental and numerical assessment of surface roughness for Ti6Al4V lattice elements in selective laser melting', International Journal of Advanced Manufacturing Technology, vol. 105, no. 14, pp. 1275-1293.


Document type: Journal Article
Collection: Journal Articles

Title Experimental and numerical assessment of surface roughness for Ti6Al4V lattice elements in selective laser melting
Author(s) Alghamdi, A
Downing, D
McMillan, M
Brandt, M
Ma, Q
Leary, M
Year 2019
Journal name International Journal of Advanced Manufacturing Technology
Volume number 105
Issue number 14
Start page 1275
End page 1293
Total pages 19
Publisher Springer
Abstract Additive manufacturing (AM) such as selective laser melting (SLM) enables the fabrication of complex lattice structures. These lattice structures are efficiently fabricated for a variety of applications, such as aerospace components and biomedical implants. The SLM process inherently introduces local temperature fields, resulting in local thermal defects, including porosity, partially fused particles, and dimensional errors. These defects introduce variation between the intended and manufactured geometries. This research provides an extensive experimental and numerical assessment of these geometric effects on individual lattice strut elements. These effects are quantified by systematic methods, allowing roughness of SLM lattice struts to be correlated with associated geometric control factors, i.e. length of strut, Ls, diameter of strut, Ds, and manufacturing inclination angle, α. Robust correlation is found between experimental and numerical data; resulting in a methodology for a priori prediction of thermally induced defects based on input geometry.
Subject Metals and Alloy Materials
Keyword(s) Additive manufacturing
CAE
FEM
Lattice
Surface roughness
Thermal simulation
DOI - identifier 10.1007/s00170-019-04092-4
Copyright notice © Springer-Verlag London Ltd., part of Springer Nature 2019
ISSN 0268-3768
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 2 Abstract Views  -  Detailed Statistics
Created: Tue, 26 Nov 2019, 08:38:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us