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

Rui Liu; Sen Liu; Xiaoli Zhang

doi:10.1007/s00170-021-06640-3

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

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-021-06640-3 ◽

2021 ◽

Vol 113 (7-8) ◽

pp. 1943-1958

Author(s):

Rui Liu ◽

Sen Liu ◽

Xiaoli Zhang

Keyword(s):

Machine Learning ◽

Additive Manufacturing ◽

Learning Model ◽

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed ◽

Machine Learning Model ◽

Porosity Analysis

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

JOM ◽

10.1007/s11837-019-03792-2 ◽

2019 ◽

Vol 72 (1) ◽

pp. 420-428 ◽

Cited By ~ 3

Author(s):

Lingbin Meng ◽

Jing Zhang

Keyword(s):

Machine Learning ◽

Stainless Steel ◽

Gaussian Process ◽

Process Design ◽

Learning Model ◽

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed ◽

Machine Learning Model

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Predictive Manufacturability Assessment System for Laser Powder Bed Fusion Based on a Hybrid Machine Learning Model

Additive Manufacturing ◽

10.1016/j.addma.2021.101946 ◽

2021 ◽

pp. 101946

Author(s):

Ying Zhang ◽

Sheng Yang ◽

Guoying Dong ◽

Yaoyao Fiona Zhao

Keyword(s):

Machine Learning ◽

Learning Model ◽

Assessment System ◽

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed ◽

Machine Learning Model ◽

Hybrid Machine

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

Journal of Manufacturing Systems ◽

10.1016/j.jmsy.2021.01.008 ◽

2021 ◽

Vol 59 ◽

pp. 12-26

Author(s):

Zackary Snow ◽

Brett Diehl ◽

Edward W. Reutzel ◽

Abdalla Nassar

Keyword(s):

Machine Learning ◽

Additive Manufacturing ◽

Flaw Detection ◽

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed

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Using machine learning to identify in-situ melt pool signatures indicative of flaw formation in a laser powder bed fusion additive manufacturing process

Additive Manufacturing ◽

10.1016/j.addma.2018.11.010 ◽

2019 ◽

Vol 25 ◽

pp. 151-165 ◽

Cited By ~ 17

Author(s):

Luke Scime ◽

Jack Beuth

Keyword(s):

Machine Learning ◽

Additive Manufacturing ◽

Manufacturing Process ◽

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed ◽

Melt Pool

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A machine learning guided investigation of quality repeatability in metal laser powder bed fusion additive manufacturing

Materials & Design ◽

10.1016/j.matdes.2021.109606 ◽

2021 ◽

pp. 109606

Author(s):

De Jun Huang ◽

Hua Li

Keyword(s):

Machine Learning ◽

Additive Manufacturing ◽

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed

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

Virtual and Physical Prototyping ◽

10.1080/17452759.2021.1944229 ◽

2021 ◽

pp. 1-15

Author(s):

S. L. Sing ◽

C. N. Kuo ◽

C. T. Shih ◽

C. C. Ho ◽

C. K. Chua

Keyword(s):

Machine Learning ◽

Additive Manufacturing ◽

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed ◽

Metal Additive Manufacturing ◽

Metal Additive

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Machine Learning to Optimize Additive Manufacturing Parameters for Laser Powder Bed Fusion of Inconel 718

Proceedings of the 9th International Symposium on Superalloy 718 & Derivatives: Energy, Aerospace, and Industrial Applications - The Minerals, Metals & Materials Series ◽

10.1007/978-3-319-89480-5_39 ◽

2018 ◽

pp. 595-610 ◽

Cited By ~ 7

Author(s):

Branden Kappes ◽

Senthamilaruvi Moorthy ◽

Dana Drake ◽

Henry Geerlings ◽

Aaron Stebner

Keyword(s):

Machine Learning ◽

Additive Manufacturing ◽

Inconel 718 ◽

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed ◽

Manufacturing Parameters

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Machine-Learning Assisted Laser Powder Bed Fusion Process Optimization for AlSi10mg: New Microstructure Description Indices and Fracture Mechanisms

SSRN Electronic Journal ◽

10.2139/ssrn.3681162 ◽

2020 ◽

Author(s):

Qian Liu ◽

Hongkun Wu ◽

Moses J. Paul ◽

Peidong He ◽

Zhongxiao Peng ◽

...

Keyword(s):

Machine Learning ◽

Process Optimization ◽

Fusion Process ◽

Fracture Mechanisms ◽

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed

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Laser powder bed fusion additive manufacturing, microstructure evolution, and mechanical performance of carbon nanotube-decorated titanium alloy powders

Powder Technology ◽

10.1016/j.powtec.2020.12.066 ◽

2021 ◽

Author(s):

Weiwei Zhou ◽

Kohei Kamata ◽

Mingqi Dong ◽

Naoyuki Nomura

Keyword(s):

Titanium Alloy ◽

Carbon Nanotube ◽

Additive Manufacturing ◽

Microstructure Evolution ◽

Mechanical Performance ◽

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed

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Radially graded porous structure design for laser powder bed fusion additive manufacturing of Ti-6Al-4V alloy

Journal of Materials Processing Technology ◽

10.1016/j.jmatprotec.2021.117186 ◽

2021 ◽

Vol 296 ◽

pp. 117186

Author(s):

Mustafa Kas ◽

Oguzhan Yilmaz

Keyword(s):

Additive Manufacturing ◽

Porous Structure ◽

Structure Design ◽

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed

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