Issue |
MATEC Web Conf.
Volume 321, 2020
The 14th World Conference on Titanium (Ti 2019)
|
|
---|---|---|
Article Number | 03013 | |
Number of page(s) | 11 | |
Section | Additive and Near Net Shape Manufacturing | |
DOI | https://doi.org/10.1051/matecconf/202032103013 | |
Published online | 12 October 2020 |
Topology optimisation of an aircraft nose-wheel fork for production in Ti6Al4V by the Aeroswift high-speed laser powder bed fusion machine
1 Central University of Technology, Free State, Bloemfontein, South Africa
2 Central University of Technology, Free State, Bloemfontein, South Africa
3 ADC Aeroswift, Wonderboom Airport, Pretoria, South Africa
4 ADC Aeroswift, Wonderboom Airport, Pretoria, South Africa
Recent levels of structural integrity of components built in the Aeroswift high-speed laser powder bed fusion machine have led to the decision to produce a structural aircraft component through this technology. The Aeroswift machine is capable of building larger Ti6Al4V parts at a more rapid pace than current commercial laser metal powder bed fusion systems. As prototype component, the nose-wheel fork of the AHRLAC aircraft, which was conventionally machined in aluminum alloy 7050, was selected. This paper describes the design, topology optimisation and the manufacturing approach taken in this project.
Given the design space, loads, strength requirements and boundary conditions prescribed by the AHRLAC engineers, topology optimisation was performed on the nose-wheel fork to design a lightweight component for production in Ti6Al4V. Different topology optimisation software suites were used, to establish their capabilities and fit-for-purpose features. The optimised design and percentage of weight saving are presented. An assessment based on the experience with the different software suites is offered.
Key words: Topology optimisation / laser metal powder bed fusion / Titanium / nose-wheel fork
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.