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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...
Autores principales: | Phate, Mangesh, Bendale, Aditya, Toney, Shraddha, Phate, Vikas |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
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 |
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