Home ›
Entities
› academia
› Prediction of residual stress, surface roughness, and grain refinement of 42CrMo steel subjected to shot peening by combining finite element method and artificial neural network
Prediction of residual stress, surface roughness, and grain refinement of 42CrMo steel subjected to shot peening by combining finite element method and artificial neural network
Research article (The International Journal of Advanced Manufacturing Technology, 2023) · cited 11× · AI/ML
Prediction of residual stress, surface roughness, and grain refinement of 42CrMo steel subjected to shot peening by combining finite element method and artificial neural network
Summary
Prediction of residual stress, surface roughness, and grain refinement of 42CrMo steel subjected to shot peening by combining finite element method and artificial neural network is a scholarly article[1].
Key Facts
Prediction of residual stress, surface roughness, and grain refinement of 42CrMo steel subjected to shot peening by combining finite element method and artificial neural network'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). Prediction of residual stress, surface roughness, and grain refinement of 42CrMo steel subjected to shot peening by combining finite element method and artificial neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-residual-stress-surface-roughness-and-grain-refinement-of-42crmo-steel-subjected-to-shot-peening-by-combin
MLA“Prediction of residual stress, surface roughness, and grain refinement of 42CrMo steel subjected to shot peening by combining finite element method and artificial neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-residual-stress-surface-roughness-and-grain-refinement-of-42crmo-steel-subjected-to-shot-peening-by-combin.
BibTeX@misc{4ortxyz_prediction-of-residual-stress-surface-roughness-and-grain-refinement-of-42crmo-steel-subjected-to-shot-peening-by-combin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of residual stress, surface roughness, and grain refinement of 42CrMo steel subjected to shot peening by combining finite element method and artificial neural network}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-residual-stress-surface-roughness-and-grain-refinement-of-42crmo-steel-subjected-to-shot-peening-by-combin}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of residual stress, surface roughness, and grain refinement of 42CrMo steel subjected to shot peening by combining finite element method and artificial neural network — https://4ort.xyz/entity/prediction-of-residual-stress-surface-roughness-and-grain-refinement-of-42crmo-steel-subjected-to-shot-peening-by-combin (retrieved 2026-05-24)
