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Unsupervised clustering approach for recognizing residual stress and distortion patterns for different parts for directed energy deposition additive manufacturing
Research article (The International Journal of Advanced Manufacturing Technology, 2023) · cited 10× · AI/ML
Unsupervised clustering approach for recognizing residual stress and distortion patterns for different parts for directed energy deposition additive manufacturing
Summary
Unsupervised clustering approach for recognizing residual stress and distortion patterns for different parts for directed energy deposition additive manufacturing is a scholarly article[1].
Key Facts
Unsupervised clustering approach for recognizing residual stress and distortion patterns for different parts for directed energy deposition additive manufacturing's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Unsupervised clustering approach for recognizing residual stress and distortion patterns for different parts for directed energy deposition additive manufacturing. Retrieved May 24, 2026, from https://4ort.xyz/entity/unsupervised-clustering-approach-for-recognizing-residual-stress-and-distortion-patterns-for-different-parts-for-directe
MLA“Unsupervised clustering approach for recognizing residual stress and distortion patterns for different parts for directed energy deposition additive manufacturing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/unsupervised-clustering-approach-for-recognizing-residual-stress-and-distortion-patterns-for-different-parts-for-directe.
BibTeX@misc{4ortxyz_unsupervised-clustering-approach-for-recognizing-residual-stress-and-distortion-patterns-for-different-parts-for-directe_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Unsupervised clustering approach for recognizing residual stress and distortion patterns for different parts for directed energy deposition additive manufacturing}}, year = {2026}, url = {https://4ort.xyz/entity/unsupervised-clustering-approach-for-recognizing-residual-stress-and-distortion-patterns-for-different-parts-for-directe}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Unsupervised clustering approach for recognizing residual stress and distortion patterns for different parts for directed energy deposition additive manufacturing — https://4ort.xyz/entity/unsupervised-clustering-approach-for-recognizing-residual-stress-and-distortion-patterns-for-different-parts-for-directe (retrieved 2026-05-24)
