Data-driven modeling of process, structure and property in additive manufacturing: A review and future directions

Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks

(2021) Qiming Zhu et al.   COMPUTATIONAL MECHANICS

StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction

(2021) Haoliang Jiang et al.   JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME

A physics-informed machine learning model for porosity analysis in laser powder bed fusion additive manufacturing

(2021) Rui Liu et al.   The International Journal of Advanced Manufacturing Technology

A physics-informed machine learning approach for solving heat transfer equation in advanced manufacturing and engineering applications

(2021) Navid Zobeiry et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A gleeble-assisted study of phase evolution of Ti-6Al-4V induced by thermal cycles during additive manufacturing

(2021) Yaohong Xiao et al.   JOURNAL OF ALLOYS AND COMPOUNDS

A Physics-Informed Two-Level Machine-Learning Model for Predicting Melt-Pool Size in Laser Powder Bed Fusion

(2021) Yong Ren et al.   JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME

Multi-objective process parameters optimization of SLM using the ensemble of metamodels

(2021) Jingchang Li et al.   Journal of Manufacturing Processes

Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm

(2021) Shenghan Guo et al.   JOURNAL OF MANUFACTURING SYSTEMS

Residual thermal stress prediction for continuous tool-paths in wire-arc additive manufacturing: a three-level data-driven method

(2021) Zeyu Zhou et al.   Virtual and Physical Prototyping

FROM SCAN STRATEGY TO MELT POOL PREDICTION: A NEIGHBORING-EFFECT MODELING METHOD

(2020) Zhuo Yang et al.   JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING

Predicting microstructure-dependent mechanical properties in additively manufactured metals with machine- and deep-learning methods

(2020) Carl Herriott et al.   COMPUTATIONAL MATERIALS SCIENCE

Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies of various shapes

(2020) Kazuto Hasegawa et al.   THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS

Prediction of composite microstructure stress-strain curves using convolutional neural networks

(2020) Charles Yang et al.   MATERIALS & DESIGN

Predicting Flexural Strength of Additively Manufactured Continuous Carbon Fiber-Reinforced Polymer Composites Using Machine Learning

(2020) Ziyang Zhang et al.   JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING

CNN-LSTM based reduced order modeling of two-dimensional unsteady flows around a circular cylinder at different Reynolds numbers

(2020) Kazuto Hasegawa et al.   FLUID DYNAMICS RESEARCH

Convolutional neural network based hierarchical autoencoder for nonlinear mode decomposition of fluid field data

(2020) Kai Fukami et al.   PHYSICS OF FLUIDS

Machine-learning assisted laser powder bed fusion process optimization for AlSi10Mg: New microstructure description indices and fracture mechanisms

(2020) Qian Liu et al.   ACTA MATERIALIA

A machine learning framework to predict local strain distribution and the evolution of plastic anisotropy & fracture in additively manufactured alloys

(2020) Waqas Muhammad et al.   INTERNATIONAL JOURNAL OF PLASTICITY

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

Data-driven materials research enabled by natural language processing and information extraction

(2020) Elsa A. Olivetti et al.   Applied Physics Reviews

Digital Twins for Additive Manufacturing: A State-of-the-Art Review

(2020) Li Zhang et al.   Applied Sciences-Basel

Uncertainty quantification and reduction in metal additive manufacturing

(2020) Zhuo Wang et al.   npj Computational Materials

A machine-learning fatigue life prediction approach of additively manufactured metals

(2020) Hongyixi Bao et al.   ENGINEERING FRACTURE MECHANICS

A big data-driven framework for sustainable and smart additive manufacturing

(2020) Arfan Majeed et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Machines as Craftsmen: Localized Parameter Setting Optimization for Fused Filament Fabrication 3D Printing

(2019) John M. Gardner et al.   Advanced Materials Technologies

Machine learning for data-driven discovery in solid Earth geoscience

(2019) Karianne J. Bergen et al.   SCIENCE

Machine Learning for Computational Heterogeneous Catalysis

(2019) Philomena Schlexer Lamoureux et al.   ChemCatChem

Deep learning-based tensile strength prediction in fused deposition modeling

(2019) Jianjing Zhang et al.   COMPUTERS IN INDUSTRY

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

(2019) Yinhao Zhu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

A Data-driven Approach for Process Optimization of Metallic Additive Manufacturing under Uncertainty

(2019) Zhuo Wang et al.   JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME

Data-Driven Design Space Exploration and Exploitation for Design for Additive Manufacturing

(2019) Yi Xiong et al.   JOURNAL OF MECHANICAL DESIGN

A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics

(2019) Frederic E. Bock et al.   Frontiers in Materials

Prediction of aerodynamic flow fields using convolutional neural networks

(2019) Saakaar Bhatnagar et al.   COMPUTATIONAL MECHANICS

Real-time simulation for long paths in laser-based additive manufacturing: a machine learning approach

(2019) Emmanuel Stathatos et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Uncertainty Quantification in Metallic Additive Manufacturing Through Physics-Informed Data-Driven Modeling

(2019) Zhuo Wang et al.   JOM

Influence of Laser Processing Strategy and Remelting on Surface Structure and Porosity Development during Selective Laser Melting of a Metallic Material

(2019) Chunlei Qiu et al.   METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE

Prediction of surface roughness in extrusion-based additive manufacturing with machine learning

(2019) Zhixiong Li et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Data-Driven Microstructure and Microhardness Design in Additive Manufacturing Using a Self-Organizing Map

(2019) Zhengtao Gan et al.   Engineering

Applying Neural-Network-Based Machine Learning to Additive Manufacturing: Current Applications, Challenges, and Future Perspectives

(2019) Xinbo Qi et al.   Engineering

Machine Learning for Fluid Mechanics

(2019) Steven L. Brunton et al.   Annual Review of Fluid Mechanics

Process Design of Laser Powder Bed Fusion of Stainless Steel Using a Gaussian Process-Based Machine Learning Model

(2019) Lingbin Meng 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

Deep Learning Methods for Reynolds-Averaged Navier–Stokes Simulations of Airfoil Flows

(2019) Nils Thuerey et al.   AIAA JOURNAL

Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data

(2019) Luning Sun et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Nonlinear mode decomposition with convolutional neural networks for fluid dynamics

(2019) Takaaki Murata et al.   JOURNAL OF FLUID MECHANICS

Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review

(2019) Yi Li et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Data analytics approach for melt-pool geometries in metal additive manufacturing

(2019) Seulbi Lee et al.   SCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS

A Learning-Based Framework for Error Compensation in 3D Printing

(2019) Zhen Shen et al.   IEEE Transactions on Cybernetics

Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications

(2019) Sachin S. Kamble et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

Data-Driven Predictive Modeling of Tensile Behavior of Parts Fabricated by Cooperative 3D Printing

(2019) Ziyang Zhang et al.   JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING

Calibration and Validation Framework for Selective Laser Melting Process Based on Multi-Fidelity Models and Limited Experiment Data

(2019) Alaa Olleak et al.   JOURNAL OF MECHANICAL DESIGN

Machine learning in tolerancing for additive manufacturing

(2018) Zuowei Zhu et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets

(2018) Zijiang Yang et al.   COMPUTATIONAL MATERIALS SCIENCE

Predictive Modeling of Droplet Formation Processes in Inkjet-Based Bioprinting

(2018)   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

Additive manufacturing of metallic components – Process, structure and properties

(2018) T. DebRoy et al.   PROGRESS IN MATERIALS SCIENCE

Laser Direct Metal Deposition of 2024 Al Alloy: Trace Geometry Prediction via Machine Learning

(2018) Fabrizia Caiazzo et al.   Materials

Data Processing and Text Mining Technologies on Electronic Medical Records: A Review

(2018) Wencheng Sun et al.   Journal of Healthcare Engineering

Integration of physically-based and data-driven approaches for thermal field prediction in additive manufacturing

(2018) Jingran Li 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

A prediction and compensation scheme for in-plane shape deviation of additive manufacturing with information on process parameters

(2018) Longwei Cheng et al.   IISE Transactions

Applied machine learning to predict stress hotspots I: Face centered cubic materials

(2018) Ankita Mangal et al.   INTERNATIONAL JOURNAL OF PLASTICITY

Predictive modelling of surface roughness in fused deposition modelling using data fusion

(2018) Dazhong Wu et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Validation of a Laser-Based Powder Bed Fusion thermal model via Uncertainty Propagation and generalized Polynomial Chaos Expansions

(2018) Gustavo Tapia et al.   JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME

Microstructural Materials Design via Deep Adversarial Learning Methodology

(2018) Zijiang Yang et al.   JOURNAL OF MECHANICAL DESIGN

Opportunities and challenges of quality engineering for additive manufacturing

(2018) Bianca M. Colosimo et al.   JOURNAL OF QUALITY TECHNOLOGY

Solving high-dimensional partial differential equations using deep learning

(2018) Jiequn Han et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Model transfer across additive manufacturing processes via mean effect equivalence of lurking variables

(2018) Arman Sabbaghi et al.   Annals of Applied Statistics

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

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

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

Microstructure Representation and Reconstruction of Heterogeneous Materials Via Deep Belief Network for Computational Material Design

(2017) Ruijin Cang et al.   JOURNAL OF MECHANICAL DESIGN

Machine learning in materials informatics: recent applications and prospects

(2017) Rampi Ramprasad et al.   npj Computational Materials

Denudation of metal powder layers in laser powder bed fusion processes

(2016) Manyalibo J. Matthews et al.   ACTA MATERIALIA

Numerical modeling of heat-transfer and the influence of process parameters on tailoring the grain morphology of IN718 in electron beam additive manufacturing

(2016) Narendran Raghavan et al.   ACTA MATERIALIA

Performance evaluation of warping characteristic of fused deposition modelling process

(2016) Biranchi N. Panda et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Data mining and statistical inference in selective laser melting

(2016) Chandrika Kamath   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Materials Data Infrastructure: A Case Study of the Citrination Platform to Examine Data Import, Storage, and Access

(2016) Jordan O’Mara et al.   JOM

ChemDataExtractor: A Toolkit for Automated Extraction of Chemical Information from the Scientific Literature

(2016) Matthew C. Swain et al.   Journal of Chemical Information and Modeling

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

Study on shrinkage behaviour of laser sintered PA 3200GF specimens using RSM and ANN

(2016) Sushant Negi et al.   RAPID PROTOTYPING JOURNAL

Analytical Modelling and Optimization of the Temperature-Dependent Dynamic Mechanical Properties of Fused Deposition Fabricated Parts Made of PC-ABS

(2016) Omar Mohamed et al.   Materials

Structure–property linkages using a data science approach: Application to a non-metallic inclusion/steel composite system

(2015) Akash Gupta et al.   ACTA MATERIALIA

On the role of melt flow into the surface structure and porosity development during selective laser melting

(2015) Chunlei Qiu et al.   ACTA MATERIALIA

Permeability and strength of a porous metal structure fabricated by additive manufacturing

(2015) Tatsuaki Furumoto et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Measurement of environmental aspect of 3-D printing process using soft computing methods

(2015) A. Garg et al.   MEASUREMENT

Cloud-Based Automated Design and Additive Manufacturing: A Usage Data-Enabled Paradigm Shift

(2015) Dirk Lehmhus et al.   SENSORS

Evolution of solidification texture during additive manufacturing

(2015) H. L. Wei et al.   Scientific Reports

Numerical modeling of microstructure evolution during laser additive manufacturing of a nickel-based superalloy

(2014) Pulin Nie et al.   ACTA MATERIALIA

Descriptor-based methodology for statistical characterization and 3D reconstruction of microstructural materials

(2014) Hongyi Xu et al.   COMPUTATIONAL MATERIALS SCIENCE

Formulation of bead width model of an SLM prototype using modified multi-gene genetic programming approach

(2014) A. Garg et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

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

Effect of Thermal Deformation on Part Errors in Metal Powder Based Additive Manufacturing Processes

(2014) Ratnadeep Paul 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

State-of-the-art in empirical modelling of rapid prototyping processes

(2014) A. Garg et al.   RAPID PROTOTYPING JOURNAL

A hybrid $$\text{ M}5^\prime $$ -genetic programming approach for ensuring greater trustworthiness of prediction ability in modelling of FDM process

(2013) A. Garg et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Effect of build geometry on the β-grain structure and texture in additive manufacture of Ti6Al4V by selective electron beam melting

(2013) A.A. Antonysamy et al.   MATERIALS CHARACTERIZATION

The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]

(2012) Li Deng   IEEE SIGNAL PROCESSING MAGAZINE

Characterizations of additive manufactured porous titanium implants

(2012) Ahmad Basalah et al.   JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART B-APPLIED BIOMATERIALS

Flow curve prediction of Al–Mg alloys under warm forming conditions at various strain rates by ANN

(2010) Serkan Toros et al.   APPLIED SOFT COMPUTING

The Origin of Microstructural Diversity, Texture, and Mechanical Properties in Electron Beam Melted Ti-6Al-4V

(2010) S. S. Al-Bermani et al.   METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE

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

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

COMPUTER SCIENCE: Beyond the Data Deluge

(2009) G. Bell et al.   SCIENCE