Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Design & Manufacture of a High Performance Bicycle Crank by Additive Manufacturing

Version 1 : Received: 17 July 2018 / Approved: 17 July 2018 / Online: 17 July 2018 (10:53:49 CEST)

A peer-reviewed article of this Preprint also exists.

McEwen, I.; Cooper, D.E.; Warnett, J.; Kourra, N.; Williams, M.A.; Gibbons, G.J. Design & Manufacture of a High-Performance Bicycle Crank by Additive Manufacturing. Appl. Sci. 2018, 8, 1360. McEwen, I.; Cooper, D.E.; Warnett, J.; Kourra, N.; Williams, M.A.; Gibbons, G.J. Design & Manufacture of a High-Performance Bicycle Crank by Additive Manufacturing. Appl. Sci. 2018, 8, 1360.

Abstract

Additive Manufacturing (AM) provides an opportunity to fundamentally redesign components previously limited by conventional manufacturing techniques. A new process for this workflow of design, manufacture by Powder Bed Fusion (PBF) and validation is presented, to which a case study of a crank for a high performance racing bicycle is applied. Topology optimisation generated conceptually ideal geometry from which a functional design was interpreted. Design for AM considerations were employed to reduce build time, material usage and post-processing labour. PBF was employed to manufacture the parts, and the build quality assessed using Computed Tomography (CT). Static and dynamic functional testing was performed and compared to a Finite Element Analysis (FEA). CT confirmed good build quality of tall, complex geometry with no significant geometrical deviation from CAD over 0.5 mm. Static testing proved performance close to current market leaders, although failure under fatigue occurred after just 2495 ± 125 cycles, the failure mechanism was consistent in both its form and location. These physical results were representative of those simulated, thus validating the FEA. This research demonstrates a complete workflow from design, manufacture, post-treatment and validation of a highly loaded PBF manufactured component, offering practitioners with a validated approach to the application of PBF.

Keywords

additive manufacture; topology optimisation; computed tomography

Subject

Engineering, Mechanical Engineering

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