Applications of Machine Learning in Process Monitoring and Controls of L-PBF Additive Manufacturing: A Review
出版年份 2021 全文链接
标题
Applications of Machine Learning in Process Monitoring and Controls of L-PBF Additive Manufacturing: A Review
作者
关键词
-
出版物
Applied Sciences-Basel
Volume 11, Issue 24, Pages 11910
出版商
MDPI AG
发表日期
2021-12-15
DOI
10.3390/app112411910
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。- Machine learning for knowledge transfer across multiple metals additive manufacturing printers
- (2021) Sen Liu et al. Additive Manufacturing
- Toward in-situ flaw detection in laser powder bed fusion additive manufacturing through layerwise imagery and machine learning
- (2021) Zackary Snow et al. JOURNAL OF MANUFACTURING SYSTEMS
- Effect of scanning strategy on geometric accuracy of the circle structure fabricated by selective laser melting
- (2021) Luo Zhang et al. Journal of Manufacturing Processes
- A machine learning guided investigation of quality repeatability in metal laser powder bed fusion additive manufacturing
- (2021) De Jun Huang et al. MATERIALS & DESIGN
- Laser powder bed fusion processability of Ti-6Al-4V powder decorated by B4C particles
- (2021) Eskandar Fereiduni et al. MATERIALS LETTERS
- Deep representation learning for process variation management in laser powder bed fusion
- (2021) Sepehr Fathizadan et al. Additive Manufacturing
- Optimization of surface roughness and dimensional accuracy in LPBF additive manufacturing
- (2021) Longchao Cao et al. OPTICS AND LASER TECHNOLOGY
- On the application of machine learning for defect detection in L-PBF additive manufacturing
- (2021) Mohammad Ghayoomi Mohammadi et al. OPTICS AND LASER TECHNOLOGY
- Automatic quality assessments of laser powder bed fusion builds from photodiode sensor measurements
- (2021) Sarini Jayasinghe et al. Progress in Additive Manufacturing
- Physics of humping formation in laser powder bed fusion
- (2020) C. Tang et al. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
- Thermal field prediction for laser scanning paths in laser aided additive manufacturing by physics-based machine learning
- (2020) K. Ren et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- A review of technological improvements in laser-based powder bed fusion of metal printers
- (2020) AmirMahyar Khorasani et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Machine Learning in Additive Manufacturing: A Review
- (2020) Lingbin Meng et al. JOM
- Dimensional Errors Due to Overhanging Features in Laser Powder Bed Fusion Parts Made of Ti-6Al-4V
- (2020) Amal Charles et al. Applied Sciences-Basel
- In-situ optical emission spectroscopy of selective laser melting
- (2020) Cody S. Lough et al. Journal of Manufacturing Processes
- Classification of Specimen Density in Laser Powder Bed Fusion (L-PBF) Using In-process Structure-borne Acoustic Process Emissions
- (2020) N. Eschner et al. Additive Manufacturing
- A review on machine learning in 3D printing: applications, potential, and challenges
- (2020) G. D. Goh et al. ARTIFICIAL INTELLIGENCE REVIEW
- Probing a novel heat source model and adaptive remeshing technique to simulate laser powder bed fusion with experimental validation
- (2020) Kajal Khan et al. COMPUTATIONAL MATERIALS SCIENCE
- In Situ Monitoring Systems of The SLM Process: On the Need to Develop Machine Learning Models for Data Processing
- (2020) Pinku Yadav et al. Crystals
- Controlling crack formation and porosity in laser powder bed fusion: Alloy design and process optimisation
- (2020) Hossein Eskandari Sabzi et al. Additive Manufacturing
- Correlations between thermal history and keyhole porosity in laser powder bed fusion
- (2020) Noah H. Paulson et al. Additive Manufacturing
- Detecting voids in 3D printing using melt pool time series data
- (2020) Vivek Mahato et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Machine Learning and Knowledge Graph based Design Rule Construction for Additive Manufacturing
- (2020) Hyunwoong Ko et al. Additive Manufacturing
- Optical process monitoring for Laser-Powder Bed Fusion (L-PBF)
- (2020) W. Zouhri et al. CIRP Journal of Manufacturing Science and Technology
- Prediction of lack-of-fusion porosity in laser powder-bed fusion considering boundary conditions and sensitivity to laser power absorption
- (2020) Wenjia Wang et al. The International Journal of Advanced Manufacturing Technology
- Intensive processing optimization for achieving strong and ductile Al-Mn-Mg-Sc-Zr alloy produced by selective laser melting
- (2020) D. Bayoumy et al. MATERIALS & DESIGN
- Machine learning in additive manufacturing: State-of-the-art and perspectives
- (2020) C. Wang et al. Additive Manufacturing
- Defect structure process maps for laser powder bed fusion additive manufacturing
- (2020) Jerard V. Gordon et al. Additive Manufacturing
- Machine learning and data mining in manufacturing
- (2020) Alican Dogan et al. EXPERT SYSTEMS WITH APPLICATIONS
- A big data-driven framework for sustainable and smart additive manufacturing
- (2020) Arfan Majeed et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Effect of laser-plume interaction on part quality in multi-scanner Laser Powder Bed Fusion
- (2020) Christian Tenbrock et al. Additive Manufacturing
- In-situ monitoring and detection of spatter agglomeration and delamination during laser-based powder bed fusion of Invar 36
- (2020) Mostafa Yakout et al. OPTICS AND LASER TECHNOLOGY
- Influence of Powder Deposition on Powder Bed and Specimen Properties
- (2019) Steffen Beitz et al. Materials
- Machine learning-based image processing for on-line defect recognition in additive manufacturing
- (2019) Alessandra Caggiano et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Effect of Process Parameters on the Generated Surface Roughness of Down-Facing Surfaces in Selective Laser Melting
- (2019) Amal Charles et al. Applied Sciences-Basel
- Analytical evaluation of defect generation for selective laser melting of metals
- (2019) Patcharapit Promoppatum et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A state-of-the-art review on types, design, optimization, and additive manufacturing of cellular structures
- (2019) Aamer Nazir et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Applying Neural-Network-Based Machine Learning to Additive Manufacturing: Current Applications, Challenges, and Future Perspectives
- (2019) Xinbo Qi et al. Engineering
- Automatic fault detection for laser powder-bed fusion using semi-supervised machine learning
- (2019) Ikenna A. Okaro et al. Additive Manufacturing
- 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
- 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
- Keyhole-induced porosities in Laser-based Powder Bed Fusion (L-PBF) of Ti6Al4V: High-fidelity modelling and experimental validation
- (2019) Mohamad Bayat et al. Additive Manufacturing
- Influence of Process Parameters on the Porosity, Accuracy, Roughness, and Support Structures of Hastelloy X Produced by Laser Powder Bed Fusion
- (2019) Calignano et al. Materials
- A review of critical repeatability and reproducibility issues in powder bed fusion
- (2019) L. Dowling et al. MATERIALS & DESIGN
- Linking pyrometry to porosity in additively manufactured metals
- (2019) John A. Mitchell et al. Additive Manufacturing
- Model-based feedforward control of laser powder bed fusion additive manufacturing
- (2019) Qian Wang et al. Additive Manufacturing
- 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
- Optimisation of process parameters to address fundamental challenges during selective laser melting of Ti-6Al-4V: A review
- (2018) H. Shipley et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- 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
- Sensor-Based Build Condition Monitoring in Laser Powder Bed Fusion Additive Manufacturing Process Using a Spectral Graph Theoretic Approach
- (2018) Mohammad Montazeri et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- 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
- 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 selective laser melting using plume and spatter signatures by deep belief networks
- (2018) Dongsen Ye et al. ISA TRANSACTIONS
- A review of selective laser melting of aluminum alloys: Processing, microstructure, property and developing trends
- (2018) Jinliang Zhang et al. JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
- Performance Analysis of IoT-Based Sensor, Big Data Processing, and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing
- (2018) Muhammad Syafrudin et al. SENSORS
- Machine-Learning-Based Monitoring of Laser Powder Bed Fusion
- (2018) Bodi Yuan et al. Advanced Materials Technologies
- 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
- In Situ Quality Monitoring in AM Using Acoustic Emission: A Reinforcement Learning Approach
- (2018) K. Wasmer et al. JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
- Knowledge-Based Design of Artificial Neural Network Topology for Additive Manufacturing Process Modeling: A New Approach and Case Study for Fused Deposition Modeling
- (2018) Hari P. N. Nagarajan et al. JOURNAL OF MECHANICAL DESIGN
- A statistical learning method for image-based monitoring of the plume signature in laser powder bed fusion
- (2018) M. Grasso et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Deep Reinforcement Learning: A Brief Survey
- (2017) Kai Arulkumaran et al. IEEE SIGNAL PROCESSING MAGAZINE
- Common defects and contributing parameters in powder bed fusion AM process and their classification for online monitoring and control: a review
- (2017) Ehsan Malekipour et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Oxides, porosity and fatigue performance of AlSi10Mg parts produced by selective laser melting
- (2017) Ming Tang et al. INTERNATIONAL JOURNAL OF FATIGUE
- Laser powder bed fusion of Ti-6Al-4V parts: Thermal modeling and mechanical implications
- (2017) Mohammad Masoomi et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Alternative production strategies based on the comparison of additive and traditional manufacturing technologies
- (2017) Charisios Achillas et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Process defects andin situmonitoring methods in metal powder bed fusion: a review
- (2017) Marco Grasso et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Machine learning on big data: Opportunities and challenges
- (2017) Lina Zhou et al. NEUROCOMPUTING
- Mechanisms and characteristics of spatter generation in SLM processing and its effect on the properties
- (2017) Di Wang et al. MATERIALS & DESIGN
- Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints
- (2016) Mary Kathryn Thompson et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Investigation of accuracy and dimensional limits of part produced in aluminum alloy by selective laser melting
- (2016) F. Calignano et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- The metallurgy and processing science of metal additive manufacturing
- (2016) W. J. Sames et al. INTERNATIONAL MATERIALS REVIEWS
- Experimental investigations of curling phenomenon in selective laser sintering process
- (2016) Alkhair Almabrouk Mousa RAPID PROTOTYPING JOURNAL
- Review of in-situ process monitoring and in-situ metrology for metal additive manufacturing
- (2016) Sarah K. Everton et al. MATERIALS & DESIGN
- Review of selective laser melting: Materials and applications
- (2015) C. Y. Yap et al. Applied Physics Reviews
- In situ quality control of the selective laser melting process using a high-speed, real-time melt pool monitoring system
- (2014) S. Clijsters et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A Review on Process Monitoring and Control in Metal-Based Additive Manufacturing
- (2014) Gustavo Tapia et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Metal Additive Manufacturing: A Review
- (2014) William E. Frazier JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
- Observation of keyhole-mode laser melting in laser powder-bed fusion additive manufacturing
- (2014) Wayne E. King et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- A bias correction function for classification performance assessment in two-class imbalanced problems
- (2014) Vicente García et al. KNOWLEDGE-BASED SYSTEMS
- Overview of modelling and simulation of metal powder bed fusion process at Lawrence Livermore National Laboratory
- (2014) W. King et al. MATERIALS SCIENCE AND TECHNOLOGY
- Balling behavior of stainless steel and nickel powder during selective laser melting process
- (2011) Ruidi Li et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Single track formation in selective laser melting of metal powders
- (2010) I. Yadroitsev et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- Porosity formation and gas bubble retention in laser metal deposition
- (2009) G. K. L. Ng et al. APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING
- On the delamination and crack formation in a thin wall fabricated using laser solid freeform fabrication process: An experimental–numerical investigation
- (2009) Masoud Alimardani et al. OPTICS AND LASERS IN ENGINEERING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now