Prediction and optimization of tool wear rate during electric discharge machining of Al/Cu/Ni alloy using adaptive neuro-fuzzy inference system

Aluminum (Al)-copper (Cu)-nickel (Ni) alloy is a versatile material with lightweight and excellent strength. It also possesses properties such as superior corrosion resistance, fatigue strength. These alloys are essential in sectors viz. automobile, aerospace, defense, aerospace, etc. In this resear...

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Detalles Bibliográficos
Autores principales: Phate, Mangesh, Bendale, Aditya, Toney, Shraddha, Phate, Vikas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7610251/
https://www.ncbi.nlm.nih.gov/pubmed/33163650
http://dx.doi.org/10.1016/j.heliyon.2020.e05308

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7610251/
https://www.ncbi.nlm.nih.gov/pubmed/33163650
http://dx.doi.org/10.1016/j.heliyon.2020.e05308

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