Prediction and optimization of tool wear rate during electric discharge machining of Al/Cu/Ni alloy using adaptive neuro-fuzzy inference system.
- DOI
- 10.1016/j.heliyon.2020.e05308
- Published
- 2020 Oct
- Container
- Heliyon
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.heliyon.2020.e05308,
title = {Prediction and optimization of tool wear rate during electric discharge machining of Al/Cu/Ni alloy using adaptive neuro-fuzzy inference system.},
author = {Phate M and Bendale A and Toney S and Phate V},
year = {2020},
journal = {Heliyon},
doi = {10.1016/j.heliyon.2020.e05308},
url = {https://doi.org/10.1016/j.heliyon.2020.e05308}
}RIS
TY - JOUR TI - Prediction and optimization of tool wear rate during electric discharge machining of Al/Cu/Ni alloy using adaptive neuro-fuzzy inference system. AU - Phate M AU - Bendale A AU - Toney S AU - Phate V PY - 2020 JO - Heliyon DO - 10.1016/j.heliyon.2020.e05308 UR - https://doi.org/10.1016/j.heliyon.2020.e05308 ER -
APA
M, P., A, B., S, T., & V, P. (2020). Prediction and optimization of tool wear rate during electric discharge machining of Al/Cu/Ni alloy using adaptive neuro-fuzzy inference system.. Heliyon. https://doi.org/10.1016/j.heliyon.2020.e05308
Source records
- pubmed · retrieved 2026-09-26T05:25:19.132Z