ThermoPore: Predicting part porosity based on thermal images using deep learning

被引：0

作者：

Pak, Peter ^{[1
]}

Ogoke, Francis ^{[1
]}

Polonsky, Andrew ^{[2
]}

Garland, Anthony ^{[2
]}

Bolintineanu, Dan S. ^{[2
]}

Moser, Dan R. ^{[2
]}

Arnhart, Mary ^{[2
]}

Madison, Jonathan ^{[2
]}

Ivanoff, Thomas ^{[2
]}

Mitchell, John ^{[2
]}

Jared, Bradley ^{[3
]}

Salzbrenner, Brad ^{[2
]}

Heiden, Michael J. ^{[2
]}

Barati Farimani, Amir ^{[1
,4
]}

机构：

[1] Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh,PA, United States

[2] Sandia National Laboratories, United States

[3] The University of Tennessee Knoxville, United States

[4] Machine Learning Department, Carnegie Mellon University, Pittsburgh,PA, United States

来源：

Additive Manufacturing | 2024年 / 95卷

关键词：

Compendex;

D O I：

10.1016/j.addma.2024.104503

中图分类号：

学科分类号：

摘要：

Thermography (imaging)

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