Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process

In-situ alloying in powder bed fusion: The role of powder morphology

(2021) Marius S. Knieps et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

Mutual comparison of acoustic, pyrometric and thermographic laser powder bed fusion monitoring

(2021) Kai Gutknecht et al.   MATERIALS & DESIGN

Machine Learning in Additive Manufacturing: A Review

(2020) Lingbin Meng et al.   JOM

A review on machine learning in 3D printing: applications, potential, and challenges

(2020) G. D. Goh et al.   ARTIFICIAL INTELLIGENCE REVIEW

Pyrometric-Based Melt Pool Monitoring Study of CuCr1Zr Processed Using L-PBF

(2020) Katia Artzt et al.   Materials

Influence of working environment and built orientation on the tensile properties of selective laser melted AlSi10Mg alloy

(2019) Srinivasa Rakesh Ch et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

Machine learning-based image processing for on-line defect recognition in additive manufacturing

(2019) Alessandra Caggiano et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings

(2019) Bin Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

In-process virtual verification of weld seam removal in robotic abrasive belt grinding process using deep learning

(2019) Vigneashwara Pandiyan et al.   ROBOTICS AND COMPUTER-INTEGRATED 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

Customizing mechanical properties of additively manufactured Hastelloy X parts by adjusting laser scanning speed

(2019) Reza Esmaeilizadeh et al.   JOURNAL OF ALLOYS AND COMPOUNDS

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

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

Strengths and weaknesses of deep learning models for face recognition against image degradations

(2018) Klemen Grm et al.   IET Biometrics

The effect of laser focus shift on microstructural variation of Inconel 718 produced by selective laser melting

(2018) Tait D. McLouth et al.   MATERIALS & DESIGN

Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing

(2018) Chuang Sun et al.   IEEE Transactions on Industrial Informatics

Quantification and characterisation of porosity in selectively laser melted Al–Si10–Mg using X-ray computed tomography

(2016) I. Maskery et al.   MATERIALS CHARACTERIZATION

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

(2016) Sarah K. Everton et al.   MATERIALS & DESIGN

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

Investigation of laser consolidation process for metal powder by two-color pyrometer and high-speed video camera

(2013) Tatsuaki Furumoto et al.   CIRP ANNALS-MANUFACTURING 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

Fault diagnosis of ball bearings using continuous wavelet transform

(2010) P.K. Kankar et al.   APPLIED SOFT COMPUTING