ArticleMicromachines2023
Optimising Surface Roughness and Density in Titanium Fabrication via Laser Powder Bed Fusion.
Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Theoretical Analysis of the Process Window for Laser Powder-Bed Fusion for Infrared and Green Lasers Using Rosenthal Approximation.Materials (Basel, Switzerland) · 2026Article
- Hybrid Multimodal Surrogate Modeling and Uncertainty-Aware Co-Design for L-PBF Ti-6Al-4V with Nanomaterials-Informed Morphology Proxies.Nanomaterials (Basel, Switzerland) · 2026Article
- Optimization of Parameters of Block-Shaped Support Tooth Structure Using Orthogonal Experimental Design in Laser Powder Bed Fusion.Materials (Basel, Switzerland) · 2026Article
- Microstructure and corrosion resistance of hybrid additively manufactured Ti-6Al-4V via laser powder bed fusion.Scientific reports · 2025Article
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The Ti6Al4V alloy has many advantages, such as being lightweight, formal, and resistant to corrosion. This makes it highly desirable for various applications, especially in the aerospace industry. Laser Powder Bed Fusion (LPBF) is a technique that allows for the production of detailed and unique parts with great flexibility in design. However, there are challenges when it comes to achieving high-quality surfaces and porosity formation in the material, which limits the wider use of LPBF. To tackle these challenges, this study uses statistical techniques called Design of Experiments (DoE) and Analysis of Variance (ANOVA) to investigate and optimise the process parameters of LPBF for making Ti6Al4V components with improved density and surface finish. The parameters examined in this study are laser power, laser scan speed, and hatch space. The optimisation study results show that using specific laser settings, like a laser power of 175 W, a laser scan speed of 1914 mm/s, and a hatch space of 53 µm, produces Ti6Al4V parts with a high relative density of 99.54% and low top and side surface roughness of 2.6 µm and 4.3 µm, respectively. This promising outcome demonstrates the practicality of optimising Ti6Al4V and other metal materials for a wide range of applications, thereby overcoming existing limitations and further expanding the potential of LPBF while minimising inherent process issues.
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Registered trials
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