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Optimising the process parameters of selective laser melting for the fabrication of Ti6Al4V alloy

机译:优化Ti6Al4V合金选择性激光熔炼工艺参数。

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摘要

Purpose- Surface roughness is an important evaluation index for industrial components and it strongly depends on the processing parameters for selective laser molten Ti6Al4V parts. This paper aims to obtain an optimum SLM parameter set to improve the surface roughness of Ti6Al4V samples.\udDesign/methodology/approach- A response surface methodology (RSM) based approach is proposed to improve the surface quality of selective laser molten Ti6Al4V parts and understand the relationship between the selective laser melting (SLM) process parameters and the surface roughness. The main SLM parameters (i.e. laser power, scan speed and hatch spacing) are optimised and Ti6Al4V parts are manufactured by the SLM technology with no post processes.\udFindings- Optimum process parameters were obtained using the RSM method to minimise the roughness of the top and vertical side surfaces. Obtained parameter sets were evaluated based on their productivity and surface quality performance. The validation tests have been performed and the results verified the effectivity of the proposed technique. It was also shown that the top and vertical sides must be handled together to obtain better top surface quality.\udPractical implications- The obtained optimum SLM parameter set can be used in the manufacturing of Ti6Al4V components with high surface roughness requirement.\udOriginality/value- RSM is used to analyse and determine the optimal combination of SLM parameters with the aim of improving the surface roughness quality of Ti6Al4V components, for the first time in the literature. Also, this is the first study which aims to simultaneously optimise the surface quality of top and vertical sides of titanium alloys.
机译:目的-表面粗糙度是工业部件的重要评估指标,并且在很大程度上取决于选择性激光熔融Ti6Al4V零件的加工参数。本文旨在获得最佳的SLM参数集,以改善Ti6Al4V样品的表面粗糙度。\ udDesign / methodology / approach-基于响应表面方法(RSM)的方法旨在提高选择性激光熔融Ti6Al4V零件的表面质量并了解选择性激光熔化(SLM)工艺参数与表面粗糙度之间的关系。优化了SLM的主要参数(即激光功率,扫描速度和舱口间距),并通过SLM技术制造了Ti6Al4V零件,并且没有后期处理。\ udFindings-使用RSM方法获得了最佳的工艺参数,以最大程度地减小顶部的粗糙度和垂直侧面。根据获得的参数集的生产率和表面质量性能对其进行评估。已经进行了验证测试,结果验证了所提出技术的有效性。还显示必须将顶面和垂直面一起处理才能获得更好的顶面质量。\ ud实践意义-获得的最佳SLM参数集可用于制造对表面粗糙度有较高要求的Ti6Al4V零件。\ ud原始值/值-RSM用于分析和确定SLM参数的最佳组合,目的是提高Ti6Al4V组件的表面粗糙度质量,这在文献中尚属首次。此外,这是首次旨在同时优化钛合金顶部和垂直侧面的表面质量的研究。

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