Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Karthik Rao, M. C."'
Publikováno v:
International Journal on Interactive Design & Manufacturing; Sep2024, Vol. 18 Issue 7, p5211-5223, 13p
Publikováno v:
Data in Brief, Vol 16, Iss , Pp 114-121 (2018)
The data set presented is related to the milling process of AA6061-4.5%Cu-5%SiCp composite. The data primarily concentrates on predicting values of some machining responses, such as cutting force, surface finish and power utilization utilizing using
Externí odkaz:
https://doaj.org/article/b56b396e169b433fb816479e60782dd9
Autor:
Karthik, Rao M. C.1 (AUTHOR), Malghan, Rashmi L.2 (AUTHOR), Kara, Fuat3 (AUTHOR), Shettigar, Arunkumar1 (AUTHOR), Rao, Shrikantha S.1 (AUTHOR), Herbert, Mervin A.1 (AUTHOR)
Publikováno v:
Advances in Materials Science & Engineering. 8/5/2021, p1-18. 18p.
Autor:
Mervin A. Herbert, Shrikantha S. Rao, Karthik Rao M C, Rashmi L. Malghan, Arun Kumar Shettigar
Publikováno v:
Australian Journal of Mechanical Engineering. 20:698-705
The paper explores the potential study of artificial neural network (ANN) for prediction of response surface roughness (Ra) in face milling operation with respect to cryogenic approach. The model o...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bed7879486c5d8650d583e84c04b4db
https://doi.org/10.1080/14484846.2020.1740022
https://doi.org/10.1080/14484846.2020.1740022
Publikováno v:
International Journal of Precision Engineering and Manufacturing. 19:695-704
The influence of cutting parameters on the responses in face milling has been examined. Spindle speed, feed rate and depth of cut have been considered as the influential factors. In accordance with the design of experiments (DOE) a series of experime
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4960a31574ecbbbbeead22450c173d72
https://doi.org/10.1007/s12541-018-0083-2
https://doi.org/10.1007/s12541-018-0083-2
Publikováno v:
Data in Brief, Vol 16, Iss, Pp 114-121 (2018)
Data in Brief
Data in Brief
The data set presented is related to the milling process of AA6061-4.5%Cu-5%SiCp composite. The data primarily concentrates on predicting values of some machining responses, such as cutting force, surface finish and power utilization utilizing using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe81ba5d953b9aed15fb812bf15d68a1
https://doi.org/10.1016/j.dib.2017.10.069
https://doi.org/10.1016/j.dib.2017.10.069
Autor:
Karthik Rao, M. C., Malghan, Rashmi L., ArunKumar, S., Rao, Shrikantha S., Herbert, Mervin A.
Publikováno v:
Transactions of the Indian Institute of Metals; Jan2019, Vol. 72 Issue 1, p191-204, 14p