Lack-of-fusion porosity due to insufficient melting of the adjacent tracks and successive layers is a persistent problem in laser powder bed fusion (LPBF). A novel functional relation is proposed here following dimensional analysis for rapid estimation of the lack-of-fusion porosity fraction as a function of important process variables and alloy properties. The estimated values of the porosity fractions are found to be in fair agreement with the corresponding independent experimentally measured results for LPBF of five commonly used alloys for a wide range of process conditions. The proposed functional relation is used further to construct a set of process maps that can aid in the selection of important LPBF conditions to avoid lack-of-fusi...
Microstructure evolution in metal additive manufacturing (AM) is a complex multi-physics and multi-s...
Variation in the local thermal history during the Laser Powder Bed Fusion (LPBF) process in Additive...
The purpose of this research is to study the impact of controllable machine input parameters on the ...
This work proposed a computationally efficient analytical modeling strategy to calculate the product...
Lack of fusion porosity is a typical defect of laser powder bed fusion processes generated by a wron...
This paper proposes analytical modeling methods for the prediction of balling, lack-of-fusion and ke...
There are ongoing challenges in achieving full density metal parts via Laser Powder Bed fusion (LPB...
AbstractOne problematic task in the laser-based powder bed fusion (LB-PBF) process is the estimation...
Selective laser melting (SLM) is a powder-bed additive manufacturing process that uses laser to melt...
In this study, a physics-based analytical method was proposed for the prediction of upper surface ro...
In laser powder bed fusion (LPBF), melt pool instability can lead to the development of pores in pri...
Laser powder bed fusion (L-PBF) is one of the most promising additive manufacturing technologies for...
Abstract Laser powder bed fusion (LPBF) can produce high‐value metallic components for many industri...
In the laser powder bed fusion (L-PBF) process, metal powders are selectively melted with a laser be...
Laser Powder-Bed Fusion (LPBF) is one method in Additive Manufacturing where layerwise complex struc...
Microstructure evolution in metal additive manufacturing (AM) is a complex multi-physics and multi-s...
Variation in the local thermal history during the Laser Powder Bed Fusion (LPBF) process in Additive...
The purpose of this research is to study the impact of controllable machine input parameters on the ...
This work proposed a computationally efficient analytical modeling strategy to calculate the product...
Lack of fusion porosity is a typical defect of laser powder bed fusion processes generated by a wron...
This paper proposes analytical modeling methods for the prediction of balling, lack-of-fusion and ke...
There are ongoing challenges in achieving full density metal parts via Laser Powder Bed fusion (LPB...
AbstractOne problematic task in the laser-based powder bed fusion (LB-PBF) process is the estimation...
Selective laser melting (SLM) is a powder-bed additive manufacturing process that uses laser to melt...
In this study, a physics-based analytical method was proposed for the prediction of upper surface ro...
In laser powder bed fusion (LPBF), melt pool instability can lead to the development of pores in pri...
Laser powder bed fusion (L-PBF) is one of the most promising additive manufacturing technologies for...
Abstract Laser powder bed fusion (LPBF) can produce high‐value metallic components for many industri...
In the laser powder bed fusion (L-PBF) process, metal powders are selectively melted with a laser be...
Laser Powder-Bed Fusion (LPBF) is one method in Additive Manufacturing where layerwise complex struc...
Microstructure evolution in metal additive manufacturing (AM) is a complex multi-physics and multi-s...
Variation in the local thermal history during the Laser Powder Bed Fusion (LPBF) process in Additive...
The purpose of this research is to study the impact of controllable machine input parameters on the ...