Identifying build orientation of 3D ‐printed materials using convolutional neural networks
Article Swipe
J. Strube
,
Malachi Schram
,
Sabiha Rustam
,
Zachary C. Kennedy
,
Tamás Varga
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1002/sam.11497
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1002/sam.11497
The advent of additive manufacturing (AM) processes brought with it intense research into various materials and manufacturing processes. At the same time, the need for validation of material properties, as well as study and forecasting of aging, has arisen. Modern imaging techniques, like X‐ray computed tomography (XCT), are a convenient vehicle for such studies; however, the large datasets they produce require novel analysis techniques to efficiently extract critical information. In this paper, we present our work on developing a 3D extension of the ResNet architecture to distinguish between two build orientations of tensile bars produced by AM. Using only information from XCT, our method achieves a 99.3% correct classification at a misidentification of 1%.
Related Topics
Concepts
Convolutional neural network
Computer science
Orientation (vector space)
Residual neural network
Artificial neural network
Architecture
Artificial intelligence
Ultimate tensile strength
Extension (predicate logic)
Pattern recognition (psychology)
Machine learning
Materials science
Mathematics
Composite material
Geometry
Visual arts
Art
Programming language
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/sam.11497
- OA Status
- green
- Cited By
- 1
- References
- 13
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3118806877
All OpenAlex metadata
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https://openalex.org/W3118806877Canonical identifier for this work in OpenAlex
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https://doi.org/10.1002/sam.11497Digital Object Identifier
- Title
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Identifying build orientation of
3D ‐printed materials using convolutional neural networksWork title - Type
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articleOpenAlex work type
- Language
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enPrimary language
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2021Year of publication
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2021-01-07Full publication date if available
- Authors
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J. Strube, Malachi Schram, Sabiha Rustam, Zachary C. Kennedy, Tamás VargaList of authors in order
- Landing page
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https://doi.org/10.1002/sam.11497Publisher landing page
- Open access
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.osti.gov/biblio/1834047Direct OA link when available
- Concepts
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Convolutional neural network, Computer science, Orientation (vector space), Residual neural network, Artificial neural network, Architecture, Artificial intelligence, Ultimate tensile strength, Extension (predicate logic), Pattern recognition (psychology), Machine learning, Materials science, Mathematics, Composite material, Geometry, Visual arts, Art, Programming languageTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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