Manufacturability study in laser powder bed fusion of biomedical Ti alloys for orthopedic implants: an investigation of mechanical properties, process-induced porosity and surface roughness

材料科学 多孔性 选择性激光熔化 表面粗糙度 复合材料 融合 表面光洁度 可制造性设计 激光功率缩放 过程变量 模具(集成电路) 弹性模量 扫描电子显微镜 偷看 激光扫描 激光器 过程(计算) 机械工程 微观结构 光学 计算机科学 纳米技术 哲学 语言学 物理 聚合物 工程类 操作系统
作者
Mudassar Rehman,Yanen Wang,Kashif Ishfaq,Haiou Yang,Ray Tahir Mushtaq,M. Saravana Kumar,Ammar Ahmed
出处
期刊:Rapid Prototyping Journal [Emerald (MCB UP)]
卷期号:29 (6): 1299-1323 被引量:9
标识
DOI:10.1108/rpj-02-2022-0042
摘要

Purpose Since the biomedical implants with an improved compressive strength, near bone elastic modulus, controlled porosity, and sufficient surface roughness, can assist in long term implantation. Therefore, the fine process tuning plays its crucial role to develop optimal settings to achieve these desired properties. This paper aims to find applications for fine process tuning in laser powder bed fusion of biomedical Ti alloys for load-bearing implants. Design/methodology/approach In this work, the parametric porosity simulations were initially performed to simulate the process-induced porosity for selective laser-melted Ti 6 Al 4 V as per full factorial design. Continually, the experiments were performed to validate the simulation results and perform multiresponse optimization to fine-tune the processing parameters. Three levels of each control variable, namely, laser power – Pl (180, 190, 200) W, scanning speed – Vs (1500, 1600, 1700) mm/s and scan orientation – ϴ{1(0,0), 2(0,67°), 3(0,90°)} were used to investigate the processing performance. The measured properties from this study include compressive yield strength, elastic modulus, process-induced porosity and surface roughness. Finally, confirmatory experiments and comparisons with the already published works were also performed to validate the research results. Findings The results of porosity parametric simulation and experiments in selective laser melting of Ti 6 Al 4 V were found close to each other with overall porosity (less than 10%). The fine process tuning was resulted in optimal settings [Pl (200 W), Vs (1500 mm/s), ϴ (0,90°)], [Pl (200 W), Vs (1500 mm/s), ϴ (0,67°)], [Pl (200 W), Vs (1500 mm/s), ϴ (0,0)] and [Pl (200 W), Vs (1500 mm/s), ϴ (0,0)] with higher compressive strength (672.78 MPa), near cortical bone elastic modulus (12.932 GPa), process-induced porosity (0.751%) and minimum surface roughness (2.72 µm). The morphology of the selective laser melted (SLMed) surface indicated that the lack of fusion pores was prominent because of low laser energy density among the laser and powder bed. Confirmatory experimentation revealed that an overall percent improvement of around 15% was found between predicted and the experimental values. Originality/value Since no significant works are available on the collaborative optimization and fine process tuning in laser powder bed fusion of biomedical Ti alloys for different load bearing implants. Therefore, this work involves the comprehensive investigation and multi-objective optimization to determine optimal parametric settings for better mechanical and physical properties. Another novel aspect is the parametric porosity simulation using Ansys Additive to assist in process parameters and their levels selection. As a result, selective laser melted Ti alloys at optimal settings may help in examining the possibility for manufacturing metallic implants for load-bearing applications.
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