Can Additive Manufacturing Help Win the Race?

Clive Henry Hands; Anton du Plessis; Nicholas Minnaar; Byron Alexander Blakey-Milner; Ernst Burger

doi:10.20944/preprints201811.0040.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 1 November 2018 / Approved: 2 November 2018 / Online: 2 November 2018 (09:38:06 CET)

This paper provides an overview of the new CPAM Project on Additive Manufacturing (AM) in design and simulation, focusing on topology & lattice structure optimization for a light-weighting advantage. This industry/academia collaboration project aims to utilize existing hardware and software tools, and investigate the practical limits of the technologies, providing eventual guidelines for general use. This will provide a solid foundation for the practical use of metal AM optimized solid and latticed structures especially for Ti6Al4V parts. Two case studies are demonstrated here, one a purely topology optimized design, and one also incorporating lattice optimized design, both from Ti6Al4V and load-bearing components, to be utilized in the Nelson Mandela University (NMU) Eco-Car Project in competition, late in 2018. This paper presents the Design for Additive Manufacturing (DfAM) process, the challenges met iro applying a DfAM design mindset, and a unique final voxel-based smoothing step finishing off the design process. Detailed structural integrity assessment of these parts are included - the question remains: can Additive Manufacturing help win the race?

additive manufacturing; topology optimization; lattice; Ti6Al4V; automotive; light-weighting

ENGINEERING, Industrial & Manufacturing Engineering

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Can Additive Manufacturing Help Win the Race?

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