Data-driven spatial metamodeling for non-Gaussian digital roughness mapping in precision machining

Prithbey Raj Dey, David Enke

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DOI: 10.1038/s41598-026-52777-0
Published: 2026-05-31
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-52777-0,
  title = {Data-driven spatial metamodeling for non-Gaussian digital roughness mapping in precision machining},
  author = {Prithbey Raj Dey and David Enke},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-52777-0},
  url = {https://doi.org/10.1038/s41598-026-52777-0}
}

RIS

TY  - JOUR
TI  - Data-driven spatial metamodeling for non-Gaussian digital roughness mapping in precision machining
AU  - Prithbey Raj Dey
AU  - David Enke
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-52777-0
UR  - https://doi.org/10.1038/s41598-026-52777-0
ER  -

APA

Dey, P. R., & Enke, D. (2026). Data-driven spatial metamodeling for non-Gaussian digital roughness mapping in precision machining. Scientific Reports. https://doi.org/10.1038/s41598-026-52777-0

Source records

crossref · retrieved 2026-11-10T13:22:42.147Z