4.7 Article

The influence of laser parameters and scanning strategies on the mechanical properties of a stochastic porous material

期刊

MATERIALS & DESIGN
卷 131, 期 -, 页码 498-508

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.matdes.2017.06.041

关键词

Porous material; Architectured material; Mechanical testing; Scan strategy; Laser parameter; Powder bed fusion

资金

  1. Engineering and Physical Sciences Research Council
  2. Renishaw PLC [EP/K027549/1]
  3. EPSRC [EP/K027549/1] Funding Source: UKRI
  4. Engineering and Physical Sciences Research Council [EP/K027549/1, 1785670, EP/K503733/1] Funding Source: researchfish

向作者/读者索取更多资源

Additive manufacturing enables architectured porousmaterial design, but 3D-CAD modelling of these materials is prohibitively computationally expensive. This bottleneck can be removed using a line-based representation of porous materials instead, with strut thickness controlled by the supplied laser energy. This study investigated how laser energy and scan strategy affects strut thickness and mechanical strength of porous materials. Specimens were manufactured using varying laser parameters, 3 scan strategies (Contour, Points, Pulsing), 2 porous architectures and 2 materials (Titanium, Stainless Steel), with strut thickness, density, modulus, mechanical strength and build time measured. Struts could be built successfully as low as 15 degrees with a minimum diameter of 0.13 mm. Strut thickness was linearly related to the specific enthalpy delivered by the laser to the melt-pool. For a given stiffness, Titanium specimens built at low power/slow speed had a 10% higher strength than those built at high power/fast speed. The opposite was found in Stainless Steel. As specimen stiffness increased, the Contour Strategy produced samples with the highest strength: stiffness and strength: weight ratio. The Points strategy offered the fastest build time, 20% and 100% faster than the Contour and Pulsing strategies, respectively. This work highlights the importance of optimising build parameters to maximize mechanical performance. (C) 2017 The Authors. Published by Elsevier Ltd.

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