The DOI matches its Crossref record.
Data-Driven Prediction of Mechanical Properties in Support of Rapid Certification of Additively Manufactured Alloys
Open accessAbstract
Predicting the mechanical properties of additively manufactured parts is often a tedious process, requiring the integration of multiple stand-alone and expensive simulations. Furthermore, as properties are highly location-dep... | Find, read and cite all the research you need on Tech Science Press
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Machine learning models can be developed to predict mechanical properties of materials fabricated through additive manufacturing as they can learn and model highly complex relationships.
“Machine learning models can be developed to predict mechanical properties of materials fabricated through additive manufacturing as they can learn and model highly complex relationships [438-445].”
From A comprehensive review of lunar-based manufacturing and construction (2024) · cites this paper as [439]
Citations
Cited by
Sorted by citations
A comprehensive review of lunar-based manufacturing and construction
Azami, M., Kazemi, Z., Moazen, S., Dubé, M., Potvin, M.-J., & Skonieczny, K. (2024) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2024.101045 · Cited by 57
Metadata
- Authors
- Yan, F., Chan, Y.-C., Saboo, A., Shah, J., Olson, G. B., & Chen, W.
- Affiliations
- Northwestern University (US)
- Corresponding author
- Chen, Wei
- Venue
- Computer Modeling in Engineering & Sciences
- Publisher
- Tech Science Press
- Published
- 2018-12-29
- Volume
- 117
- Issue
- 3
- Pages
- 343-366
- ISSN
- 1526-1492 (ISSN-L)
- OpenAlex
- W2907317139
- Cited by
- 27
- References
- 0
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 5 · 2023: 3 · 2022: 4 · 2021: 4 · 2020: 3 · 2019: 1
- FWCI
- 1.28
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Computer Modeling in Engineering & Sciences (publishedVersion, cc-by)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Additive Manufacturing Materials and Processes
- Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Additive Manufacturing and 3D Printing Technologies
- Keywords
- additive manufacturing, mechanical property prediction, data-driven modeling
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
