标题
Machine learning in additive manufacturing: State-of-the-art and perspectives
作者
关键词
Additive manufacturing, Process, Machine learning, Production, Design
出版物
Additive Manufacturing
Volume 36, Issue -, Pages 101538
出版商
Elsevier BV
发表日期
2020-08-16
DOI
10.1016/j.addma.2020.101538
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- Damage-tolerant architected materials inspired by crystal microstructure
- (2019) Minh-Son Pham et al. NATURE
- Machine learning assisted design of high entropy alloys with desired property
- (2019) Cheng Wen et al. ACTA MATERIALIA
- Machine-learning phase prediction of high-entropy alloys
- (2019) Wenjiang Huang et al. ACTA MATERIALIA
- Machine learning-based image processing for on-line defect recognition in additive manufacturing
- (2019) Alessandra Caggiano et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Objective microstructure classification by support vector machine (SVM) using a combination of morphological parameters and textural features for low carbon steels
- (2019) Jessica Gola et al. COMPUTATIONAL MATERIALS SCIENCE
- From in-situ monitoring toward high-throughput process control: cost-driven decision-making framework for laser-based additive manufacturing
- (2019) Ruholla Jafari-Marandi et al. JOURNAL OF MANUFACTURING SYSTEMS
- Machine Learning to Aid Tuning of Numerical Parameters in Topology Optimization
- (2019) Matthew E. Lynch et al. JOURNAL OF MECHANICAL DESIGN
- Prediction of surface roughness in extrusion-based additive manufacturing with machine learning
- (2019) Zhixiong Li et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Revealing hot tearing mechanism for an additively manufactured high-entropy alloy via selective laser melting
- (2019) Z. Sun et al. SCRIPTA MATERIALIA
- Applying Neural-Network-Based Machine Learning to Additive Manufacturing: Current Applications, Challenges, and Future Perspectives
- (2019) Xinbo Qi et al. Engineering
- Additive manufacturing of NiTi shape memory alloys using pre-mixed powders
- (2019) C. Wang et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- Neural networks for topology optimization
- (2019) Ivan Sosnovik et al. RUSSIAN JOURNAL OF NUMERICAL ANALYSIS AND MATHEMATICAL MODELLING
- Deep-Learning-Enabled On-Demand Design of Chiral Metamaterials
- (2018) Wei Ma et al. ACS Nano
- Compressive and fatigue behavior of functionally graded Ti-6Al-4V meshes fabricated by electron beam melting
- (2018) S. Zhao et al. ACTA MATERIALIA
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
- (2018) Tom Young et al. IEEE Computational Intelligence Magazine
- 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
- A numerical investigation on the physical mechanisms of single track defects in selective laser melting
- (2018) C. Tang et al. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
- 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
- Deep learning for smart manufacturing: Methods and applications
- (2018) Jinjiang Wang et al. JOURNAL OF MANUFACTURING SYSTEMS
- In-situ droplet inspection and closed-loop control system using machine learning for liquid metal jet printing
- (2018) Tianjiao Wang et al. JOURNAL OF MANUFACTURING SYSTEMS
- Enhanced beads overlapping model for wire and arc additive manufacturing of multi-layer multi-bead metallic parts
- (2018) Yongzhe Li et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- In situ monitoring of selective laser melting of zinc powder via infrared imaging of the process plume
- (2018) M. Grasso et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Intelligent Fault Diagnosis of Delta 3D Printers Using Attitude Sensors Based on Support Vector Machines
- (2018) Kun He et al. SENSORS
- Additive manufacturing of 3D nano-architected metals
- (2018) Andrey Vyatskikh et al. Nature Communications
- Laser Direct Metal Deposition of 2024 Al Alloy: Trace Geometry Prediction via Machine Learning
- (2018) Fabrizia Caiazzo et al. Materials
- Pattern recognition with machine learning on optical microscopy images of typical metallurgical microstructures
- (2018) Dmitry S. Bulgarevich et al. Scientific Reports
- Advanced Steel Microstructural Classification by Deep Learning Methods
- (2018) Seyed Majid Azimi et al. Scientific Reports
- Meso-scale modeling of multiple-layer fabrication process in Selective Electron Beam Melting: Inter-layer/track voids formation
- (2018) Wentao Yan et al. MATERIALS & DESIGN
- Process parameter optimization and mechanical properties for additively manufactured stainless steel 316L parts by selective electron beam melting
- (2018) Chengcheng Wang et al. MATERIALS & DESIGN
- Anisotropy and heterogeneity of microstructure and mechanical properties in metal additive manufacturing: A critical review
- (2018) Y. Kok et al. MATERIALS & DESIGN
- Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring
- (2018) Yingjie Zhang et al. MATERIALS & DESIGN
- Computational discovery of extremal microstructure families
- (2018) Desai Chen et al. Science Advances
- 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
- Machine Learning Driven Real Time Topology Optimization under Moving Morphable Component (MMC)-Based Framework
- (2018) Xin Lei et al. JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME
- A Transfer Learning Approach for Microstructure Reconstruction and Structure-property Predictions
- (2018) Xiaolin Li et al. Scientific Reports
- Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment
- (2018) Grace X. Gu et al. Materials Horizons
- A deep neural network for classification of melt-pool images in metal additive manufacturing
- (2018) Ohyung Kwon et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Property prediction and properties-to-microstructure inverse analysis of steels by a machine-learning approach
- (2018) Zhi-Lei Wang et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
- (2018) David Silver et al. SCIENCE
- Using deep neural network with small dataset to predict material defects
- (2018) Shuo Feng et al. MATERIALS & DESIGN
- Microstructural diagram for steel based on crystallography with machine learning
- (2018) Kazumasa Tsutsui et al. COMPUTATIONAL MATERIALS SCIENCE
- Lattice Structure Design and Optimization With Additive Manufacturing Constraints
- (2017) Yunlong Tang et al. IEEE Transactions on Automation Science and Engineering
- An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition
- (2017) Baoguang Shi et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Gaussian process-based surrogate modeling framework for process planning in laser powder-bed fusion additive manufacturing of 316L stainless steel
- (2017) Gustavo Tapia et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Detecting cyber-physical attacks in CyberManufacturing systems with machine learning methods
- (2017) Mingtao Wu et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Quantifying Geometric Accuracy With Unsupervised Machine Learning: Using Self-Organizing Map on Fused Filament Fabrication Additive Manufacturing Parts
- (2017) Mojtaba Khanzadeh et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Part Build Orientation Optimization and Neural Network-Based Geometry Compensation for Additive Manufacturing Process
- (2017) Sushmit Chowdhury et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests
- (2017) Dazhong Wu et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Classifying the Dimensional Variation in Additive Manufactured Parts From Laser-Scanned Three-Dimensional Point Cloud Data Using Machine Learning Approaches
- (2017) M. Samie Tootooni et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Mastering the game of Go without human knowledge
- (2017) David Silver et al. NATURE
- Influence of processing parameters on creep and recovery behavior of FDM manufactured part using definitive screening design and ANN
- (2017) Omar Ahmed Mohamed et al. RAPID PROTOTYPING JOURNAL
- A hybrid machine learning approach for additive manufacturing design feature recommendation
- (2017) Xiling Yao et al. RAPID PROTOTYPING JOURNAL
- 3D soft auxetic lattice structures fabricated by selective laser sintering: TPU powder evaluation and process optimization
- (2017) Shangqin Yuan et al. MATERIALS & DESIGN
- The development of TiNi-based negative Poisson's ratio structure using selective laser melting
- (2016) Sheng Li et al. ACTA MATERIALIA
- Metal Additive Manufacturing: A Review of Mechanical Properties
- (2016) John J. Lewandowski et al. Annual Review of Materials Research
- High-Throughput Machine-Learning-Driven Synthesis of Full-Heusler Compounds
- (2016) Anton O. Oliynyk et al. CHEMISTRY OF MATERIALS
- Image driven machine learning methods for microstructure recognition
- (2016) Aritra Chowdhury et al. COMPUTATIONAL MATERIALS SCIENCE
- Real-time FDM machine condition monitoring and diagnosis based on acoustic emission and hidden semi-Markov model
- (2016) Haixi Wu 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
- Influence of microstructure on mechanical properties of laser metal wire-deposited Ti-6Al-4V
- (2016) Pia Åkerfeldt et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- Machine learning approaches in medical image analysis: From detection to diagnosis
- (2016) Marleen de Bruijne MEDICAL IMAGE ANALYSIS
- Experimental study on the 3D-printed plastic parts and predicting the mechanical properties using artificial neural networks
- (2016) Ömer Bayraktar et al. POLYMERS FOR ADVANCED TECHNOLOGIES
- Selective laser melting of stainless steel 316L with low porosity and high build rates
- (2016) Zhongji Sun et al. MATERIALS & DESIGN
- A general-purpose machine learning framework for predicting properties of inorganic materials
- (2016) Logan Ward et al. npj Computational Materials
- Additive manufacturing of carbon fiber reinforced thermoplastic composites using fused deposition modeling
- (2015) Fuda Ning et al. COMPOSITES PART B-ENGINEERING
- A computer vision approach for automated analysis and classification of microstructural image data
- (2015) Brian L. DeCost et al. COMPUTATIONAL MATERIALS SCIENCE
- Machine Learning for Predictive Maintenance: A Multiple Classifier Approach
- (2015) Gian Antonio Susto et al. IEEE Transactions on Industrial Informatics
- A new computational intelligence approach in formulation of functional relationship of open porosity of the additive manufacturing process
- (2015) A. Garg et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Online Real-Time Quality Monitoring in Additive Manufacturing Processes Using Heterogeneous Sensors
- (2015) Prahalad K. Rao et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Measurement of environmental aspect of 3-D printing process using soft computing methods
- (2015) A. Garg et al. MEASUREMENT
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Machine learning: Trends, perspectives, and prospects
- (2015) M. I. Jordan et al. SCIENCE
- Machine learning applications in cancer prognosis and prediction
- (2015) Konstantina Kourou et al. Computational and Structural Biotechnology Journal
- Progress Toward an Integration of Process–Structure–Property–Performance Models for “Three-Dimensional (3-D) Printing” of Titanium Alloys
- (2014) P. C. Collins et al. JOM
- Dimensional accuracy improvement of FDM square cross-section parts using artificial neural networks and an optimization algorithm
- (2013) A. Noriega et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Accelerating materials property predictions using machine learning
- (2013) Ghanshyam Pilania et al. Scientific Reports
- Reinforcement learning and optimal adaptive control: An overview and implementation examples
- (2012) Said G. Khan et al. ANNUAL REVIEWS IN CONTROL
- Bead geometry prediction for robotic GMAW-based rapid manufacturing through a neural network and a second-order regression analysis
- (2012) Jun Xiong et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Neural Networks Relating Alloy Composition, Microstructure, and Tensile Properties of α/β-Processed TIMETAL 6-4
- (2012) Peter C. Collins et al. METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE
- Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition
- (2012) J. Stallkamp et al. NEURAL NETWORKS
- A new multi-gene genetic programming approach to nonlinear system modeling. Part I: materials and structural engineering problems
- (2011) Amir Hossein Gandomi et al. NEURAL COMPUTING & APPLICATIONS
- Experimental investigation and empirical modelling of FDM process for compressive strength improvement
- (2011) Anoop K. Sood et al. Journal of Advanced Research
- Densification mechanism and microstructural evolution in selective laser sintering of Al–12Si powders
- (2010) E.O. Olakanmi et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- 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
- Hidden semi-Markov models
- (2009) Shun-Zheng Yu ARTIFICIAL INTELLIGENCE
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