Development of machine learning regression models for the prediction of tensile strength of friction stir processed AA8090/SiC surface composites
- DOI
- 10.1088/2053-1591/ad62ba
- Published
- 2024-07-01
- Container
- Materials Research Express
- Publisher
- IOP Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1088/2053-1591/ad62ba,
title = {Development of machine learning regression models for the prediction of tensile strength of friction stir processed AA8090/SiC surface composites},
author = {Karthik Adiga and Mervin A Herbert and Shrikantha S Rao and Arun Kumar Shettigar and TV Shrivathsa},
year = {2024},
journal = {Materials Research Express},
doi = {10.1088/2053-1591/ad62ba},
url = {https://doi.org/10.1088/2053-1591/ad62ba}
}RIS
TY - JOUR TI - Development of machine learning regression models for the prediction of tensile strength of friction stir processed AA8090/SiC surface composites AU - Karthik Adiga AU - Mervin A Herbert AU - Shrikantha S Rao AU - Arun Kumar Shettigar AU - TV Shrivathsa PY - 2024 JO - Materials Research Express DO - 10.1088/2053-1591/ad62ba UR - https://doi.org/10.1088/2053-1591/ad62ba ER -
APA
Adiga, K., Herbert, M. A., Rao, S. S., Shettigar, A. K., & Shrivathsa, T. (2024). Development of machine learning regression models for the prediction of tensile strength of friction stir processed AA8090/SiC surface composites. Materials Research Express. https://doi.org/10.1088/2053-1591/ad62ba
Source records
- crossref · retrieved 2026-09-25T23:49:37.131Z