Abstract
In this work, the effects of line (L-scanning strategy), stripe (S-scanning strategy), hollow square (H-scanning strategy) and chess board partition (C-scanning strategy) on the performances of graphene oxide reinforced Ti6Al4V matrix nanocomposites (GO/TC4) as fabricated by selective laser melting (SLM) were investigated. Numerical temperature field simulation of four different scanning strategies was utilized to investigate the effects of thermal concentration on SLM-processed GO/TC4 nanocomposites, linking to its micro-voids, surface roughness, porosity, microhardness and tribological properties. The proposed simulation scheme is validated by comparing the simulated thermal analysis with experimental results. Simulation results show that the thermal concentration effects of a part during SLM process is distinctive under different scanning strategies, with the slowest cooling rate of 64,977.5 °C/s that is achieved by C-scanning strategy specimen. The experimental results indicate that the performances of the L-scanning strategy or S-scanning strategy sample are seriously affected by the thermal concentration, causing a large number of micro-voids and defects. All the experimental results suggest that the sample using C-scanning strategy exhibits the optimal performance of all investigated specimens, which closely correlates with its lowest temperature gradients. This study highlights the importance of using a partition scanning strategy during SLM process, which can be easily extended to other powder bed fusion process.
Highlights
Ti6Al4V (TC4) alloy has been widely used in marine, aerospace and biomedical fields due to its excellent properties such as low density, high specific strength, excellent corrosion resistance and biocompatibility [1,2]
Graphene oxide (GO) has attracted tremendous attentions, owing to its excellent mechanical properties, good thermal conductivity (5300 W/(m·K)), high specific surface area (2630 m2 /g) and high strength, which is considered as a promising filler introduced into metal matrices
To further analyze the temperature distributions of graphene oxide (GO)/TC4 samples manufactured by different scanning strategies, ANSYS Mechanical APDL 15.0 (ANSYS, Canonsburg, PA, USA) is proposed to establish the transient finite element model for thermal analysis of the selective laser melting (SLM) process
Summary
Ti6Al4V (TC4) alloy has been widely used in marine, aerospace and biomedical fields due to its excellent properties such as low density, high specific strength, excellent corrosion resistance and biocompatibility [1,2]. It is one of the commonly used materials for additive manufacturing (AM) of components with functional and complex geometry. Combining with the numerical simulation of temperature fields, the effects of line, stripe, hollow square and chess board scanning strategy on the properties of GO/TC4 nanocomposites were investigated, using Profilometer, Image-pro Plus software, Archimedes drainage method, Tribometer and Scanning electron microscope (SEM), which suggests the efficacy of chess board scanning strategy to fabricate GO/TC4 nanocomposites with excellent performances
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