Home ›
Entities
› academia
› Characterisation and prediction of mechanical properties in laser powder bed fusion-printed parts: a comparative analysis using machine learning
Characterisation and prediction of mechanical properties in laser powder bed fusion-printed parts: a comparative analysis using machine learning
Research article (Materials Technology, 2024) · cited 17× · AI/ML
Characterisation and prediction of mechanical properties in laser powder bed fusion-printed parts: a comparative analysis using machine learning
Summary
Characterisation and prediction of mechanical properties in laser powder bed fusion-printed parts: a comparative analysis using machine learning is a scholarly article[1].
Key Facts
Characterisation and prediction of mechanical properties in laser powder bed fusion-printed parts: a comparative analysis using machine learning's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Characterisation and prediction of mechanical properties in laser powder bed fusion-printed parts: a comparative analysis using machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/characterisation-and-prediction-of-mechanical-properties-in-laser-powder-bed-fusion-printed-parts-a-comparative-analysis
MLA“Characterisation and prediction of mechanical properties in laser powder bed fusion-printed parts: a comparative analysis using machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/characterisation-and-prediction-of-mechanical-properties-in-laser-powder-bed-fusion-printed-parts-a-comparative-analysis.
BibTeX@misc{4ortxyz_characterisation-and-prediction-of-mechanical-properties-in-laser-powder-bed-fusion-printed-parts-a-comparative-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Characterisation and prediction of mechanical properties in laser powder bed fusion-printed parts: a comparative analysis using machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/characterisation-and-prediction-of-mechanical-properties-in-laser-powder-bed-fusion-printed-parts-a-comparative-analysis}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Characterisation and prediction of mechanical properties in laser powder bed fusion-printed parts: a comparative analysis using machine learning — https://4ort.xyz/entity/characterisation-and-prediction-of-mechanical-properties-in-laser-powder-bed-fusion-printed-parts-a-comparative-analysis (retrieved 2026-05-24)
