A feature-level multi-sensor fusion approach for in-situ quality monitoring of selective laser melting
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A feature-level multi-sensor fusion approach for in-situ quality monitoring of selective laser melting
Authors
Keywords
-
Journal
Journal of Manufacturing Processes
Volume 84, Issue -, Pages 913-926
Publisher
Elsevier BV
Online
2022-11-03
DOI
10.1016/j.jmapro.2022.10.050
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Study on laser powder bed fusion of nickel-base alloy of G-surface structure: scanning strategy, properties and compression properties
- (2021) Bo Qian et al. Scientific Reports
- In situ quality inspection with layer-wise visual images based on deep transfer learning during selective laser melting
- (2021) Jingchang Li et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Correlating in-situ sensor data to defect locations and part quality for additively manufactured parts using machine learning
- (2021) Zackary Snow et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- Path Planning Strategies to Optimize Accuracy, Quality, Build Time and Material Use in Additive Manufacturing: A Review
- (2020) Jingchao Jiang et al. Micromachines
- Bearing fault diagnosis based on vibro-acoustic data fusion and 1D-CNN network
- (2020) Xin Wang et al. MEASUREMENT
- Machine learning integrated design for additive manufacturing
- (2020) Jingchao Jiang et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Dynamics of pore formation during laser powder bed fusion additive manufacturing
- (2019) Aiden A. Martin et al. Nature Communications
- Methods for Rapid Pore Classification in Metal Additive Manufacturing
- (2019) Robert Snell et al. JOM
- Online quality inspection using Bayesian classification in powder-bed additive manufacturing from high-resolution visual camera images
- (2018) Masoumeh Aminzadeh et al. JOURNAL OF INTELLIGENT MANUFACTURING
- In situ X-ray imaging of defect and molten pool dynamics in laser additive manufacturing
- (2018) Chu Lun Alex Leung et al. Nature Communications
- Selective laser melting of titanium parts: Influence of laser process parameters on macro- and microstructures and tensile property
- (2018) Dongsheng Sun et al. POWDER TECHNOLOGY
- A deep neural network for classification of melt-pool images in metal additive manufacturing
- (2018) Ohyung Kwon et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Density and mechanical properties in selective laser melting of Invar 36 and stainless steel 316L
- (2018) Mostafa Yakout et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- Effect of selective laser melting (SLM) process parameters on microstructure and mechanical properties of 316L austenitic stainless steel
- (2017) E. Liverani et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- Comparison of density measurement techniques for additive manufactured metallic parts
- (2011) A.B. Spierings et al. RAPID PROTOTYPING JOURNAL
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started