Layer-wise multi-defect detection for laser powder bed fusion using deep learning algorithm with visual explanation
Author:
Funder
Guangxi Natural Science Foundation
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials
Reference54 articles.
1. Additive manufacturing of hybrid metal/polymer objects via multiple-material laser powder bed fusion;Chueh;Addit. Manuf.,2020
2. Detection of powder bed defects in selective laser sintering using convolutional neural network;Xiao;Int. J. Adv. Manuf. Technol.,2020
3. Common defects and contributing parameters in powder bed fusion AM process and their classification for online monitoring and control: a review;Malekipour;Int. J. Adv. Manuf. Technol.,2018
4. In-process dimensional and geometrical characterization of laser-powder bed fusion lattice structures through high-resolution optical tomography;Grazia Guerra;Opt. Laser Technol.,2023
5. In situ surface topography of laser powder bed fusion using fringe projection;Zhang;Addit. Manuf.,2016
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