Intelligent classification for three-dimensional metal powder particles

Geometrical defect detection for additive manufacturing with machine learning models

(2021) Rui Li et al.   MATERIALS & DESIGN

Particle defects and related properties of metallic powders produced by plasma rotating electrode process

(2020) Yan Nie et al.   ADVANCED POWDER TECHNOLOGY

Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners

(2020) Chunfeng Lian et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Overview: Computer Vision and Machine Learning for Microstructural Characterization and Analysis

(2020) Elizabeth A. Holm et al.   METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE

Visual Perception Enabled Industry Intelligence: State of the Art, Challenges and Prospects

(2020) Jiachen Yang et al.   IEEE Transactions on Industrial Informatics

The preparation of spherical metal powders using the high-temperature remelting spheroidization technology

(2020) Qipeng Bao et al.   MATERIALS & DESIGN

On the confusion matrix in credit scoring and its analytical properties

(2019) Guoping Zeng   COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

Uncertainty of particle size measurements using dynamic image analysis

(2019) Justin G. Whiting et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

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

(2019) Xinbo Qi et al.   Engineering

X-ray CT analysis of the influence of process on defect in Ti-6Al-4V parts produced with Selective Laser Melting technology

(2019) Xin Zhou et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Influence of AlSi10Mg particles microstructure on heat conduction during additive manufacturing

(2019) Panding Wang et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

A comparative study of Ti-6Al-4V powders for additive manufacturing by gas atomization, plasma rotating electrode process and plasma atomization

(2018) G. Chen et al.   POWDER TECHNOLOGY

Influence of Powder Characteristics on Processability of AlSi12 Alloy Fabricated by Selective Laser Melting

(2018) Rustam Baitimerov et al.   Materials

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

(2018) Yingjie Zhang et al.   MATERIALS & DESIGN

Neutron tomography methods applied to a nickel-based superalloy additive manufacture build

(2018) R.P. Turner et al.   MATERIALS LETTERS

A deep neural network for classification of melt-pool images in metal additive manufacturing

(2018) Ohyung Kwon et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Relationship between powder characteristics and part properties in laser beam melting of Ti–6Al–4V, and implications on quality

(2017) Vanessa Seyda et al.   JOURNAL OF LASER APPLICATIONS

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

(2016) Brian L. DeCost et al.   JOM

Characterization and Control of Powder Properties for Additive Manufacturing

(2015) A. Strondl et al.   JOM

Property evaluation of 304L stainless steel fabricated by selective laser melting

(2012) K. Abd‐Elghany et al.   RAPID PROTOTYPING JOURNAL

Influence of the particle size distribution on surface quality and mechanical properties in AM steel parts

(2011) A.B. Spierings et al.   RAPID PROTOTYPING JOURNAL