Machine learning algorithms for defect detection in metal laser-based additive manufacturing: A review
出版年份 2022 全文链接
标题
Machine learning algorithms for defect detection in metal laser-based additive manufacturing: A review
作者
关键词
Laser-based additive manufacturing, Machine learning, Defect detection, Product quality, Artificial intelligence
出版物
Journal of Manufacturing Processes
Volume 75, Issue -, Pages 693-710
出版商
Elsevier BV
发表日期
2022-01-29
DOI
10.1016/j.jmapro.2021.12.061
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- The role of additive manufacturing for biomedical applications: A critical review
- (2021) Rakesh Kumar et al. Journal of Manufacturing Processes
- Quality monitoring in additive manufacturing using emission spectroscopy and unsupervised deep learning
- (2021) Wenjing Ren et al. MATERIALS AND MANUFACTURING PROCESSES
- Metal Additive Manufacturing Parts Inspection Using Convolutional Neural Network
- (2020) Wenyuan Cui et al. Applied Sciences-Basel
- A physics-driven deep learning model for process-porosity causal relationship and porosity prediction with interpretability in laser metal deposition
- (2020) Weihong "Grace" Guo et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Inline Drift Detection Using Monitoring Systems and Machine Learning in Selective Laser Melting
- (2020) Pinku Yadav et al. ADVANCED ENGINEERING MATERIALS
- Current status and future directions of fused filament fabrication
- (2020) Sunpreet Singh et al. Journal of Manufacturing Processes
- Image-based porosity classification in Al-alloys by laser metal deposition using random forests
- (2020) Angel-Iván García-Moreno et al. The International Journal of Advanced Manufacturing Technology
- Prediction of microstructural defects in additive manufacturing from powder bed quality using digital image correlation
- (2020) Jamison L. Bartlett et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- A review of multiple degrees of freedom for additive manufacturing machines
- (2020) Jingchao Jiang et al. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
- Deep Learning-Based Data Fusion Method for In Situ Porosity Detection in Laser-Based Additive Manufacturing
- (2020) Qi Tian et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
- (2020) Onur Avci et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Machine learning in additive manufacturing: State-of-the-art and perspectives
- (2020) C. Wang et al. Additive Manufacturing
- Layer-wise anomaly detection and classification for powder bed additive manufacturing processes: A machine-agnostic algorithm for real-time pixel-wise semantic segmentation
- (2020) Luke Scime et al. Additive Manufacturing
- Convolutional neural network-based inspection of metal additive manufacturing parts
- (2019) Binbin Zhang et al. RAPID PROTOTYPING JOURNAL
- In Situ Additive Manufacturing Process Monitoring With an Acoustic Technique: Clustering Performance Evaluation Using K-Means Algorithm
- (2019) Hossein Taheri et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Machine learning-based image processing for on-line defect recognition in additive manufacturing
- (2019) Alessandra Caggiano et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Solidification Defects in Additive Manufactured Materials
- (2019) Lang Yuan JOM
- Layer-Wise Modeling and Anomaly Detection for Laser-Based Additive Manufacturing
- (2019) Seyyed Hadi Seifi et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Deep Learning for In Situ and Real-Time Quality Monitoring in Additive Manufacturing Using Acoustic Emission
- (2019) Sergey A. Shevchik et al. IEEE Transactions on Industrial Informatics
- Automatic quantification of porosity using an intelligent classifier
- (2019) Angel-Iván García-Moreno INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Methods for Rapid Pore Classification in Metal Additive Manufacturing
- (2019) Robert Snell et al. JOM
- Deep Learning of Variant Geometry in Layerwise Imaging Profiles for Additive Manufacturing Quality Control
- (2019) Farhad Imani et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Quality assurance in metal powder bed fusion via deep-learning-based image classification
- (2019) Maximilian Hugo Kunkel et al. RAPID PROTOTYPING JOURNAL
- A convolutional approach to quality monitoring for laser manufacturing
- (2019) Carlos Gonzalez-Val et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Focus Variation Measurement and Prediction of Surface Texture Parameters Using Machine Learning in Laser Powder Bed Fusion
- (2019) Tuğrul Özel et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Metal additive manufacturing in the commercial aviation industry: A review
- (2019) Annamaria Gisario et al. JOURNAL OF MANUFACTURING SYSTEMS
- Powder-Bed Fusion Process Monitoring by Machine Vision With Hybrid Convolutional Neural Networks
- (2019) Yingjie Zhang et al. IEEE Transactions on Industrial Informatics
- Defect detection in selective laser melting technology by acoustic signals with deep belief networks
- (2018) Dongsen Ye et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- 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
- From Process Condition to Build Quality through Modeling and Monitoring of In-process Layerwise Images in Laser Powder Bed Fusion Additive Manufacturing Process
- (2018) Farhad Imani et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- A survey of the advancing use and development of machine learning in smart manufacturing
- (2018) Michael Sharp et al. JOURNAL OF MANUFACTURING SYSTEMS
- Deep learning for smart manufacturing: Methods and applications
- (2018) Jinjiang Wang et al. JOURNAL OF MANUFACTURING SYSTEMS
- Porosity prediction: Supervised-learning of thermal history for direct laser deposition
- (2018) Mojtaba Khanzadeh et al. JOURNAL OF MANUFACTURING SYSTEMS
- Data-driven smart manufacturing
- (2018) Fei Tao et al. JOURNAL OF MANUFACTURING SYSTEMS
- Additive manufacturing of metallic components – Process, structure and properties
- (2018) T. DebRoy et al. PROGRESS IN MATERIALS SCIENCE
- Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring
- (2018) Yingjie Zhang et al. MATERIALS & DESIGN
- In-situ monitoring of melt pool images for porosity prediction in directed energy deposition processes
- (2018) Mojtaba Khanzadeh et al. IISE Transactions
- In situ monitoring of selective laser melting using plume and spatter signatures by deep belief networks
- (2018) Dongsen Ye et al. ISA TRANSACTIONS
- Constrained Markov Decision Process Modeling for Sequential Optimization of Additive Manufacturing Build Quality
- (2018) Bing Yao et al. IEEE Access
- A deep neural network for classification of melt-pool images in metal additive manufacturing
- (2018) Ohyung Kwon et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Layerwise Anomaly Detection in Laser Powder-Bed Fusion Metal Additive Manufacturing
- (2018) Mohamad Mahmoudi et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs)
- (2018) Sameer Mittal et al. JOURNAL OF MANUFACTURING SYSTEMS
- In Situ Quality Monitoring in AM Using Acoustic Emission: A Reinforcement Learning Approach
- (2018) K. Wasmer et al. JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
- Mitigation of lack of fusion defects in powder bed fusion additive manufacturing
- (2018) T. Mukherjee et al. Journal of Manufacturing Processes
- Defect classification of laser metal deposition using logistic regression and artificial neural networks for pattern recognition
- (2017) Haythem Gaja et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Defects monitoring of laser metal deposition using acoustic emission sensor
- (2016) Haythem Gaja et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- In-Process Monitoring of Selective Laser Melting: Spatial Detection of Defects Via Image Data Analysis
- (2016) Marco Grasso et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Surface texture metrology for metal additive manufacturing: a review
- (2016) A. Townsend et al. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
- 3D-imaging of selective laser melting defects in a Co–Cr–Mo alloy by synchrotron radiation micro-CT
- (2015) Xin Zhou et al. ACTA MATERIALIA
- Densification behavior, microstructure evolution, and wear performance of selective laser melting processed commercially pure titanium
- (2012) Dongdong Gu et al. ACTA MATERIALIA
- Fatigue Life of Titanium Alloys Fabricated by Additive Layer Manufacturing Techniques for Dental Implants
- (2012) Kwai S. Chan et al. METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE
- As-Fabricated and Heat-Treated Microstructures of the Ti-6Al-4V Alloy Processed by Selective Laser Melting
- (2011) T. Vilaro et al. METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE
- A study of the microstructural evolution during selective laser melting of Ti–6Al–4V
- (2010) Lore Thijs et al. ACTA MATERIALIA
- The prediction of the building precision in the Laser Engineered Net Shaping process using advanced networks
- (2010) Z.L. Lu et al. OPTICS AND LASERS IN ENGINEERING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk 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