Machine learning algorithms for defect detection in metal laser-based additive manufacturing: A review

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