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Development of a Novel Laser Polishing Strategy for Additively Manufactured AlSi10Mg Alloy Parts

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Sustainable Design and Manufacturing (SDM 2022)

Abstract

Post-processing of additively manufactured (AM) aluminium alloy parts via laser polishing (LP) is particularly challenging due to the materials’ high thermal conductivity, diffusivity, and reflectivity. Here, a novel multi-step laser polishing strategy, by combining laser ablation and smoothing steps, is developed that effectively reduces the surface roughness of AM AlSi10Mg parts. The minimum average roughness (Sa) and 10-point height (S10z) are achieved as 1.81 µm and 23.7 µm, representing maximum reductions of 94.1% and 89.8%, respectively, from the as-built AM surfaces (initial Sa 8–28 µm). A strong relationship has been observed between the initial surface roughness and the achievable roughness reduction. Regarding the other surface integrity factors, sub-surface microhardness (between 10–40 µm) after LP increases up to 182 HV0.01, compared to the bulk hardness (105 HV0.01) measured ~60 µm below the surface. Clear evidence of material’s flow within the surface asperities during the LP steps is observed from the cross-sectional microstructures. Further study will involve in-depth analysis of materials’ compositions within the LP-processed layers.

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Acknowledgements

This research is supported by the EPSRC Doctoral Training Programme. Thanks are due to the Cardiff University’s technical staff team during sample preparation. Special thanks are for Dr P. Penchev of the University of Birmingham and Prof R. Leach of the University of Nottingham for their valuable advice during the project. Special thanks must go to Dr F. Lacan for manufacturing the samples used throughout.

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Correspondence to Ben Mason .

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Mason, B., Ryan, M., Setchi, R., Kundu, A., Ayre, W.N., Bhaduri, D. (2023). Development of a Novel Laser Polishing Strategy for Additively Manufactured AlSi10Mg Alloy Parts. In: Scholz, S.G., Howlett, R.J., Setchi, R. (eds) Sustainable Design and Manufacturing. SDM 2022. Smart Innovation, Systems and Technologies, vol 338. Springer, Singapore. https://doi.org/10.1007/978-981-19-9205-6_26

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  • DOI: https://doi.org/10.1007/978-981-19-9205-6_26

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  • Online ISBN: 978-981-19-9205-6

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