Experimental Investigation and Machine Learning Modeling of Electrical Discharge Machining Characteristics of AZ31/B4C/GNPs Hybrid Composites
- DOI
- 10.3390/cryst15100844
- Published
- 2025-09-27
- Container
- Crystals
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/cryst15100844,
title = {Experimental Investigation and Machine Learning Modeling of Electrical Discharge Machining Characteristics of AZ31/B4C/GNPs Hybrid Composites},
author = {Dhanunjay Kumar Ammisetti and Satya Sai Harish Kruthiventi and Krishna Prakash Arunachalam and Victor Poblete Pulgar and Ravi Kumar Kottala and Seepana Praveenkumar and Pasupureddy Srinivasa Rao},
year = {2025},
journal = {Crystals},
doi = {10.3390/cryst15100844},
url = {https://doi.org/10.3390/cryst15100844}
}RIS
TY - JOUR TI - Experimental Investigation and Machine Learning Modeling of Electrical Discharge Machining Characteristics of AZ31/B4C/GNPs Hybrid Composites AU - Dhanunjay Kumar Ammisetti AU - Satya Sai Harish Kruthiventi AU - Krishna Prakash Arunachalam AU - Victor Poblete Pulgar AU - Ravi Kumar Kottala AU - Seepana Praveenkumar AU - Pasupureddy Srinivasa Rao PY - 2025 JO - Crystals DO - 10.3390/cryst15100844 UR - https://doi.org/10.3390/cryst15100844 ER -
APA
Ammisetti, D. K., Kruthiventi, S. S. H., Arunachalam, K. P., Pulgar, V. P., Kottala, R. K., Praveenkumar, S., & Rao, P. S. (2025). Experimental Investigation and Machine Learning Modeling of Electrical Discharge Machining Characteristics of AZ31/B4C/GNPs Hybrid Composites. Crystals. https://doi.org/10.3390/cryst15100844
Source records
- crossref · retrieved 2026-09-24T23:51:35.438Z