Common defects and contributing parameters in powder bed fusion AM process and their classification for online monitoring and control: a review
By Ehsan Malekipour, Hazim El-Mounayri. 2018
205 citations recorded by the source corpus.
Subfields: Automotive Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/7b443e781e75f79078028b30c7b6781bb0ee6fbb
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In Automotive Engineering
In Industrial and Manufacturing Engineering
In Mechanical Engineering
Citations in the corpus
- Effects of process parameters on porosity in laser powder bed fusion revealed by X-ray tomography (2019, background): “These and other causes of porosity and flaws in LPBF are described in more detail in [29].”
- A review on the state-of-the-art of surface finishing processes and related ISO/ASTM standards for metal additive manufactured components (2020, background): “…future research focus resides in the standardisation of AM, geometry optimisation (du Plessis et al. 2019), mechanical property enhancement, microstructure control (Todaro et al. 2020; Tan, Sing, and Yeong 2020), and defect elimination through online monitoring (Malekipour and El-Mounayri 2017).”
- In-situ sensing, process monitoring and machine control in Laser Powder Bed Fusion: A review (2021, background): “Surface defects resulting from the PBF process can be categorised to encompass surface oxidation, deformation, roughness and balling [8].”