Research and Application of Machine Learning for Additive Manufacturing

Published in

Additive Manufacturing(2022)

External Links:

TL;DR

Several aspects of AM, including Design for AM, material analytics, in situ monitoring and defect detection, property prediction and sustainability, have been clustered and summarized to present state-of-the-art research in the scope of ML for AM.

Authors

Jian Qin

1 papers

Fu Hu

1 papers

Y. Liu

4 papers

P. Witherell

1 papers

Charlie C. L. Wang

1 papers

David W. Rosen

1 papers

T. Simpson

1 papers

Yan Lu

1 papers

Qian Tang

1 papers

References226 items

Encoding and Exploring Latent Design Space of Optimal Material Structures via a VAE-LSTM Model

Multi-Modal SeNSor Fusion with Machine Learning for Data-Driven Process Monitoring for Additive Manufacturing

The first step towards intelligent wire arc additive manufacturing: An automatic bead modelling system using machine learning through industrial information integration

Machine learning in predicting mechanical behavior of additively manufactured parts

Faster temperature prediction in the powder bed fusion process through the development of a surrogate model

Research and Application of Machine Learning for Additive Manufacturing

Published in

Additive Manufacturing(2022)

External Links:

Generate Graph DownloadPDF

TL;DR

Authors

Jian Qin

1 papers

Fu Hu

1 papers

Y. Liu

4 papers

P. Witherell

1 papers

Charlie C. L. Wang

1 papers

David W. Rosen

1 papers

T. Simpson

1 papers

Yan Lu

1 papers

Qian Tang

1 papers

References226 items

Encoding and Exploring Latent Design Space of Optimal Material Structures via a VAE-LSTM Model

Multi-Modal SeNSor Fusion with Machine Learning for Data-Driven Process Monitoring for Additive Manufacturing

The first step towards intelligent wire arc additive manufacturing: An automatic bead modelling system using machine learning through industrial information integration

Machine learning in predicting mechanical behavior of additively manufactured parts

Faster temperature prediction in the powder bed fusion process through the development of a surrogate model

Quality monitoring in additive manufacturing using emission spectroscopy and unsupervised deep learning

Toward Sub-Surface Pore Prediction Capabilities for Laser Powder Bed Fusion Using Data Science

Active disturbance rejection control of layer width in wire arc additive manufacturing based on deep learning

Laser scan strategy descriptor for defect prognosis in metal additive manufacturing using neural networks

In Situ Monitoring of Optical Emission Spectra for Microscopic Pores in Metal Additive Manufacturing

Hyperspectral imaging for prediction of surface roughness in laser powder bed fusion

Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis

Physics-informed machine learning

Geometry and Distortion Prediction of Multiple Layers for Wire Arc Additive Manufacturing with Artificial Neural Networks

Integrated numerical modelling and deep learning for multi-layer cube deposition planning in laser aided additive manufacturing

Perspectives of using machine learning in laser powder bed fusion for metal additive manufacturing

Generative adversarial network for early-stage design flexibility in topology optimization for additive manufacturing

Predictive manufacturability assessment system for laser powder bed fusion based on a hybrid machine learning model

A machine learning method for defect detection and visualization in selective laser sintering based on convolutional neural networks

A layer-by-layer quality monitoring framework for 3D printing

Geometrical defect detection for additive manufacturing with machine learning models

Predicting magnetic characteristics of additive manufactured soft magnetic composites by machine learning

Deep representation learning for process variation management in laser powder bed fusion

Thermal field prediction for welding paths in multi-layer gas metal arc welding-based additive manufacturing: A machine learning approach

Toward in-situ flaw detection in laser powder bed fusion additive manufacturing through layerwise imagery and machine learning

Laser Powder Bed Fusion of Ti-6Al-2Sn-4Zr-6Mo Alloy and Properties Prediction Using Deep Learning Approaches

A novel approach based on the elastoplastic fatigue damage and machine learning models for life prediction of aerospace alloy parts fabricated by additive manufacturing

Utilizing computer vision and artificial intelligence algorithms to predict and design the mechanical compression response of direct ink write 3D printed foam replacement structures

Evaluating the Quality of Machine Learning Explanations: A Survey on Methods and Metrics

Comparative evaluation of supervised machine learning algorithms in the prediction of the relative density of 316L stainless steel fabricated by selective laser melting

Modelling and prediction of surface roughness in wire arc additive manufacturing using machine learning

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

Machine learning based fatigue life prediction with effects of additive manufacturing process parameters for printed SS 316L

Deep Learning-Based Data Fusion Method for In Situ Porosity Detection in Laser-Based Additive Manufacturing

Classifying Powder Flowability for Cold Spray Additive Manufacturing Using Machine Learning

Machine learning in additive manufacturing: State-of-the-art and perspectives

Heterogeneous sensing and scientific machine learning for quality assurance in laser powder bed fusion – A single-track study

Automated detection of part quality during two-photon lithography via deep learning

Machine learning integrated design for additive manufacturing

Modeling process–structure–property relationships in metal additive manufacturing: a review on physics-driven versus data-driven approaches

Optimizing laser powder bed fusion of Ti-5Al-5V-5Mo-3Cr by artificial intelligence

Predicting the Printability in Selective Laser Melting with a Supervised Machine Learning Method

Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication

Detection of Defects in Additively Manufactured Stainless Steel 316L with Compact Infrared Camera and Machine Learning Algorithms

Rapid surface defect identification for additive manufacturing with in-situ point cloud processing and machine learning

Automated inspection in robotic additive manufacturing using deep learning for layer deformation detection

Machine learning and knowledge graph based design rule construction for additive manufacturing

A meltpool prediction based scan strategy for powder bed fusion additive manufacturing

Continuous Eulerian tool path strategies for wire-arc additive manufacturing of rib-web structures with machine-learning-based adaptive void filling

Powder-Bed Fusion Process Monitoring by Machine Vision With Hybrid Convolutional Neural Networks

Feature-level Data Fusion for Energy Consumption Analytics in Additive Manufacturing

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

Reverse engineering of additive manufactured composite part by toolpath reconstruction using imaging and machine learning

Quantitative microstructure analysis for solid-state metal additive manufacturing via deep learning

Introduction to Additive Manufacturing

Tensile properties prediction by multiple linear regression analysis for selective laser melted and post heat-treated Ti-6Al-4V with microstructural quantification

Investigation of Melt Pool Geometry Control in Additive Manufacturing Using Hybrid Modeling

Machine Learning for Materials Developments in Metals Additive Manufacturing

Achieving better connections between deposited lines in additive manufacturing via machine learning.

Deep Learning and Design for Additive Manufacturing: A Framework for Microlattice Architecture

Power consumption estimation for mask image projection stereolithography additive manufacturing using machine learning based approach

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

Automated Geometric Shape Deviation Modeling for Additive Manufacturing Systems via Bayesian Neural Networks

Acoustic Anomaly Detection in Additive Manufacturing with Long Short-Term Memory Neural Networks

Quality analysis in metal additive manufacturing with deep learning

A deep learning-based model for defect detection in laser-powder bed fusion using in-situ thermographic monitoring

Deep learning-driven particle swarm optimisation for additive manufacturing energy optimisation

A Convolutional Neural Network for Prediction of Laser Power Using Melt-Pool Images in Laser Powder Bed Fusion

Thermal field prediction for laser scanning paths in laser aided additive manufacturing by physics-based machine learning

Prediction of selective laser melting part quality using hybrid Bayesian network

Shape Deviation Generator—A Convolution Framework for Learning and Predicting 3-D Printing Shape Accuracy

Data-driven modeling of thermal history in additive manufacturing

Review: Materials Ecosystem for Additive Manufacturing Powder Bed Fusion Processes

Design for Additive Manufacturing

Heterogeneous sensor-based condition monitoring in directed energy deposition

Additive manufacturing in construction: A review on processes, applications, and digital planning methods

Detection of interferences in an additive manufacturing process: an experimental study integrating methods of feature selection and machine learning

Geometric Accuracy Prediction for Additive Manufacturing Through Machine Learning of Triangular Mesh Data

A prediction model for finding the optimal laser parameters in additive manufacturing of NiTi shape memory alloy

Machine Learning-Enabled Competitive Grain Growth Behavior Study in Directed Energy Deposition Fabricated Ti6Al4V

Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

In-process monitoring of porosity in additive manufacturing using optical emission spectroscopy

Autonomous in-situ correction of fused deposition modeling printers using computer vision and deep learning

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

Rapid Process Modeling of the Aerosol Jet Printing Based on Gaussian Process Regression with Latin Hypercube Sampling

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

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

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

In-Process monitoring of porosity during laser additive manufacturing process

Automated Non-Destructive Inspection of Fused Filament Fabrication Components Using Thermographic Signal Reconstruction

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

Accelerating extrusion-based additive manufacturing optimization processes with surrogate-based multi-fidelity models

Energy consumption optimization with geometric accuracy consideration for fused filament fabrication processes

Surfel convolutional neural network for support detection in additive manufacturing

In-situ monitoring of melt pool images for porosity prediction in directed energy deposition processes

Automatic fault detection for laser powder-bed fusion using semi-supervised machine learning

A robotic cell for performing sheet lamination-based additive manufacturing

Deep learning-based tensile strength prediction in fused deposition modeling

Hybrid Machine Learning Method to Determine the Optimal Operating Process Window in Aerosol Jet 3D Printing.

100

Deep Learning for In Situ and Real-Time Quality Monitoring in Additive Manufacturing Using Acoustic Emission

101

Machine learning techniques for code smell detection: A systematic literature review and meta-analysis

102

Application of Machine Learning Techniques to Predict the Mechanical Properties of Polyamide 2200 (PA12) in Additive Manufacturing

103

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

104

Evaluating the Quality Surface Performance of Additive Manufacturing Systems: Methodology and a Material Jetting Case Study

105

Application of a neural network integrated with the internet of things sensing technology for 3D printer fault diagnosis

106

Deep learning–based stress prediction for bottom-up SLA 3D printing process

107

Convolutional neural network-based inspection of metal additive manufacturing parts

108

A statistical method for build orientation determination in additive manufacturing

109

Data-Driven Prediction of Mechanical Properties in Support of Rapid Certification of Additively Manufactured Alloys

110

A multi-scale convolutional neural network for autonomous anomaly detection and classification in a laser powder bed fusion additive manufacturing process

111

In Situ Quality Monitoring in AM Using Acoustic Emission: A Reinforcement Learning Approach

112

Classification of materials for selective laser melting by laser-induced breakdown spectroscopy

113

Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring

114

Data-driven prediction of the high-dimensional thermal history in directed energy deposition processes via recurrent neural networks

115

An improved fault diagnosis approach for FDM process with acoustic emission

116

Multi-source data analytics for AM energy consumption prediction

117

A review of the wire arc additive manufacturing of metals: properties, defects and quality improvement

118

Lattice Structure Design and Optimization With Additive Manufacturing Constraints

119

In situ monitoring of selective laser melting using plume and spatter signatures by deep belief networks.

120

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

121

Development of Data-Driven In-Situ Monitoring and Diagnosis System of Fused Deposition Modeling (FDM) Process Based on Support Vector Machine Algorithm

122

Tunable mechanical properties through texture control of polycrystalline additively manufactured materials using adjoint-based gradient optimization

123

A review on fabricating tissue scaffolds using vat photopolymerization.

124

Sensor-Based Build Condition Monitoring in Laser Powder Bed Fusion Additive Manufacturing Process Using a Spectral Graph Theoretic Approach

125

Additive manufacturing (3D printing): A review of materials, methods, applications and challenges

126

Design against distortion for additive manufacturing

127

The potential for machine learning algorithms to improve and reduce the cost of 3-dimensional printing for surgical planning

128

Application of supervised machine learning for defect detection during metallic powder bed fusion additive manufacturing using high resolution imaging.

129

Data-driven multi-scale multi-physics models to derive process–structure–property relationships for additive manufacturing

130

Sustainability of additive manufacturing: An overview on its energy demand and environmental impact

131

Additive Manufacturing Technologies

132

In-situ droplet inspection and closed-loop control system using machine learning for liquid metal jet printing

133

Porosity prediction: Supervised-learning of thermal history for direct laser deposition

134

Online quality inspection using Bayesian classification in powder-bed additive manufacturing from high-resolution visual camera images

135

Interpass rolling of Ti-6Al-4V wire + arc additively manufactured features for microstructural refinement

136

Regression with small data sets: a case study using code surrogates in additive manufacturing

137

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

138

Quantifying Geometric Accuracy With Unsupervised Machine Learning: Using Self-Organizing Map on Fused Filament Fabrication Additive Manufacturing Parts

139

Defect detection in selective laser melting technology by acoustic signals with deep belief networks

140

Enhanced beads overlapping model for wire and arc additive manufacturing of multi-layer multi-bead metallic parts

141

Gaussian process-based surrogate modeling framework for process planning in laser powder-bed fusion additive manufacturing of 316L stainless steel

142

Surface topography investigations on nickel alloy 625 fabricated via laser powder bed fusion

143

LightGBM: A Highly Efficient Gradient Boosting Decision Tree

144

Acoustic emission for in situ quality monitoring in additive manufacturing using spectral convolutional neural networks

145

Powder-based additive manufacturing – a review of types of defects, generation mechanisms, detection, property evaluation and metrology

146

A hybrid machine learning approach for additive manufacturing design feature recommendation

147

Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets.

148

From machine learning to deep learning: progress in machine intelligence for rational drug discovery.

149

Material jetting additive manufacturing: An experimental study using designed metrological benchmarks

150

Survey on artificial intelligence for additive manufacturing

151

Classifying the Dimensional Variation in Additive Manufactured Parts From Laser-Scanned Three-Dimensional Point Cloud Data Using Machine Learning Approaches

152

Additive Manufacturing Processes: Selective Laser Melting, Electron Beam Melting and Binder Jetting—Selection Guidelines

153

Energy Consumption Modeling of Stereolithography‐Based Additive Manufacturing Toward Environmental Sustainability

154

Real-time FDM machine condition monitoring and diagnosis based on acoustic emission and hidden semi-Markov model

155

Defect Formation Mechanisms in Selective Laser Melting: A Review

156

In-Plane Shape-Deviation Modeling and Compensation for Fused Deposition Modeling Processes

157

Defects monitoring of laser metal deposition using acoustic emission sensor

158

Process-Structure Linkages Using a Data Science Approach: Application to Simulated Additive Manufacturing Data

159

Process defects and in situ monitoring methods in metal powder bed fusion: a review

160

Sustainability-induced dual-level optimization of additive manufacturing process

161

Computer Vision and Machine Learning for Autonomous Characterization of AM Powder Feedstocks

162

Effect of layer thickness setting on deposition characteristics in direct energy deposition (DED) process

163

Additive manufacturing and sustainability: an exploratory study of the advantages and challenges

164

Energy and emissions saving potential of additive manufacturing: the case of lightweight aircraft components

165

A survey of transfer learning

166

Review of in-situ process monitoring and in-situ metrology for metal additive manufacturing

167

An online sparse estimation-based classification approach for real-time monitoring in advanced manufacturing processes from heterogeneous sensor data

168

Linking process, structure, property, and performance for metal-based additive manufacturing: computational approaches with experimental support

169

A new methodological framework for design for additive manufacturing

170

Additive manufacturing of multi-directional preforms for composites: opportunities and challenges

171

Perceptual models of preference in 3D printing direction

172

In situ monitoring of FDM machine condition via acoustic emission

173

A Review On Evaluation Metrics For Data Classification Evaluations

174

Development of a hybrid rapid prototyping system using low-cost fused deposition modeling and five-axis machining

175

Effective mechanical properties of lattice material fabricated by material extrusion additive manufacturing

177

Guidelines for snowballing in systematic literature studies and a replication in software engineering

178

Real Time Cr Measurement Using Optical Emission Spectroscopy During Direct Metal Deposition Process

179

A Survey on Transfer Learning

180

Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight

181

A unified approach to mapping and clustering of bibliometric networks

182

Solid modeling of polyhedral objects by Layered Depth-Normal Images on the GPU

183

Software survey: VOSviewer, a computer program for bibliometric mapping

184

A Survey of Accuracy Evaluation Metrics of Recommendation Tasks

185

Representation of surface roughness in fused deposition modeling

186

Optimizing process parameters for selective laser sintering based on neural network and genetic algorithm

187

A method for optimizing process parameters in layer-based rapid prototyping

188

Bibliometric Mapping of the Computational Intelligence Field

189

Performing systematic literature reviews in software engineering

190

Applying a hybrid approach based on fuzzy neural network and genetic algorithm to product form design

191

Modelling the geometry of a moving laser melt pool and deposition track via energy and mass balances

192

A neural network approach to the modelling and analysis of stereolithography processes

193

Optical Sensor for real-time Monitoring of CO(2) Laser Welding Process.

194

History of Additive Manufacturing

195

Real-time defect detection in 3D printing using machine learning

196

A Hybrid Deep Learning Model for Layer-Wise Melt Pool Temperature Forecasting in Wire-Arc Additive Manufacturing Process

197

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

198

Bio-Intelligent Selective Laser Melting System based on Convolutional Neural Networks for In-Process Fault Identification

199

Selection and installation of high resolution imaging to monitor the PBFam process, and synchronization to post-build 3D computed tomography

200

A Machine Learning Approach of Lattice Infill Pattern for Increasing Material Efficiency in Additive Manufacturing Processes

201

Weld Reinforcement Analysis Based on Long-Term Prediction of Molten Pool Image in Additive Manufacturing

202