Selective laser melting (SLM) has attracted increasing attention all over the world. As an important parameter, hatch spacing, which is the distance between scan lines, however, still needs a more systematic study. In this paper, the relationship between hatch spacing and mechanical properties, including microhardness, wear resistance, and porous density, was studied. The testing results revealed that when hatch spacing decreased, the overlapping rate increased which resulted in an increase in the convection in the molten pool. It led to the formation of pores in the molten pool. However, when hatch spacing was too large, the overlapping zone decreased, while the strength between each welding line was not strong enough. It caused a decrease in the quality of printed parts. Combined with the testing results gained in this work, it can be seen that a 0.06 mm hatch spacing was considered as a relatively optimal condition for part formation under 0.05 μm. Comparison of the morphology of the samples printed under different hatch spacing also confirmed the phenomenon observed here.
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http://dx.doi.org/10.3390/ma17020452 | DOI Listing |
Materials (Basel)
January 2025
Department of Industrial Engineering, University of Salerno, 84084 Fisciano, SA, Italy.
This paper presents a comprehensive numerical investigation to simulate heat transfer and residual stress formation of Ti-6Al-4V alloy during the Laser Powder Bed Fusion process, using a finite element model (FEM). The FEM was developed with a focus on the effects of key process parameters, including laser scanning velocity, laser power, hatch space, and scanning pattern in single-layer scanning. The model was validated against experimental data, demonstrating good agreement in terms of temperature profiles and melt pool dimensions.
View Article and Find Full Text PDFFront Physiol
November 2024
Key Laboratory of Surveillance and Management of Invasive Alien Species in Guizhou Education Department, College of Biological and Environmental Engineering, Guiyang University, Guiyang, China.
Micromachines (Basel)
July 2024
Institute of Additive Manufacturing, Jiangxi University of Science and Technology, Nanchang 330013, China.
In high-tech areas such as nuclear fusion, aerospace, and high-performance tools, tungsten and its alloys are indispensable due to their high melting point, low thermal expansion, and excellent mechanical properties. The rise of Additive Manufacturing (AM) technologies, particularly Laser Powder Bed Fusion (L-PBF), has enabled the precise and rapid production of complex tungsten parts. However, cracking and densification remain major challenges in printing tungsten samples, and considerable efforts have been made to study how various processing conditions (such as laser power, scanning strategy, hatch spacing, scan speed, and substrate preheating) affect print quality.
View Article and Find Full Text PDFHeliyon
August 2024
Department of Material Science and Engineering, University of Sheffield, Sheffield, S1 3JD, UK.
This study harnessed bivariate correlational analysis, multiple linear regression analysis and tree-based regression analysis to examine the relationship between laser process parameters and the final material properties (bulk density, saturation magnetization ( ), and coercivity ( )) of Fe-based nano-crystalline alloys fabricated via laser powder bed fusion (LPBF). A dataset comprising of 162 experimental data points served as the foundation for the investigation. Each data point encompassed five independent variables: laser power (), laser scan speed (), hatch spacing ), layer thickness (), and energy density (), along with three dependent variables: bulk density, , and .
View Article and Find Full Text PDFBiology (Basel)
May 2024
Hunan Fisheries Science Institute, Changsha 410022, China.
In this study, juvenile crayfish hatched from the same population were cultured in different growing environments: pond (), paddy field (), and aquaculture barrel (), and fed for 60 days. Crayfishes were selected randomly, females and males, 50 tails each from six groups (D1-♀, D1-♂, D2-♀, D2-♂, D3-♀, D3-♂) to measure the following morphological traits: full length (), body length (), chelicerae length (), chelicerae weight (), cephalothorax length (), cephalothorax width (), cephalothorax height (), eye spacing (), caudal peduncle length (), and caudal peduncle weight (). We found that the coefficient of variation (CV) of was the largest in each culture mode, and males (28.
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