Journal
MATERIALS & DESIGN
Volume 174, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.matdes.2019.107792
Keywords
Preheating; Thermal conductivity; Additive manufacturing; Dimensional accuracy; X-ray computed tomography (CT); Image-based modelling
Categories
Funding
- EPSRC MAPP Future Manufacturing Hub [EP/P006566/1, EP/I02249X/1, EP/M009688/1]
- AMAZE (Additive Manufacturing Aiming towards Zero Waste and Efficient Production of High-Tech Metal Products) project - 7th Framework Programme of the European Commission [FP7-2012-NMP-ICT-FoF-313781]
- Research Complex at Harwell
- ERC Advanced Grant (CORREL-CT Project) [695638]
- EPSRC [EP/P006566/1, EP/M009688/1, EP/I02249X/1] Funding Source: UKRI
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Two-stage preheating is used in selective electron beam melting (SEBM) to prevent powder spreading during additive manufacturing (AM); however, its effects on part properties have not been widely investigated. Here, we employed three different preheat treatments (energy per unit area, E-A) to a Ti-6Al-4V powder bed, Each standalone build, we fabricated a large block sample and seven can-shaped samples containing sintered powder. X-ray computed tomography (XCT) was employed to quantify the porosity and build accuracy of the can-shaped samples. The effective thermal conductivity of the sintered powder bed was estimated by XCT image-based modelling. The microstructural and mechanical properties of the block sample were examined by scanning electron microscopy and microhardness testing, respectively. The results demonstrate that increasing E-A reduces the anisotropy of tortuosity and increases the thermal conductivity of the sintered powder bed, improving the heat transfer efficiency for subsequent beam-matter interaction. High preheat has a negligible effect on the porosity of large AM components; however, it decreases the microhardness from 330 +/- 7 to 315 +/- 11 HV0.5 and increases the maximum build error from 330 to 400 mu m. Our study shows that a medium E-A (411 kJ m(-2)) is sufficient to produce components with a high hardness whilst optimising build accuracy. (C) 2019 The Authors. Published by Elsevier Ltd.
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