Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rajyalakshmi Gajjela"'
Publikováno v:
Decision Science Letters, Vol 7, Iss 4, Pp 535-548 (2018)
Abrasive Water Jet Machining is one of the novel nontraditional cutting processes found diverse applications in machining different kinds of difficult-to-machine materials. Process parameters play an important role in finding the economics of machini
Externí odkaz:
https://doaj.org/article/4df152dbec6a4e3f8a87ed0ba91fcf49
Publikováno v:
Journal of Materials Engineering and Performance. 32:1076-1088
In the manufacturing industry, tool wear prediction is critical for increased productivity and product quality. The focus of this study is to compare the results obtained via an artificial neural network (ANN) models for tool wear prediction on machi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55407a280383d5fc72554a937c9c7861
https://doi.org/10.21203/rs.3.rs-2376256/v1
https://doi.org/10.21203/rs.3.rs-2376256/v1
Publikováno v:
Australian Journal of Mechanical Engineering. :1-13
Autor:
Kamar. O. Abdulrahman, Esther T. Akinlabi, Stephen A. Akinlabi, M.G. Ananthaprasad, N. Balashanmugam, Rajyalakshmi Gajjela, N. Harshavardhana, Sunir Hassan, Tien C. Jen, Suyog Jhavar, Raghavendra Krishna, S. Anand Kumar, Ramesh Kuppuswamy, Jose Machado, Rasheedat Modupe Mahamood, M. Manjaiah, Vijayakumar Manupati, C.B. Mohan, R.V.S. Prasad, Narendra Reddy, Shibayan Roy, Souvik Sahoo, C. Sreerag, S. Usha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::367b47fee19546781f4188996e47692e
https://doi.org/10.1016/b978-0-12-822056-6.00018-7
https://doi.org/10.1016/b978-0-12-822056-6.00018-7
Conventional manufacturing imposed many limitations to product development, including restrictions in varying shapes, supports machining less complex structures, and so forth. Additive manufacturing (AM), the latest manufacturing science, overcomes t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8a8116d45bf9a07bc211663e06fc0a9
https://doi.org/10.1016/b978-0-12-822056-6.00011-4
https://doi.org/10.1016/b978-0-12-822056-6.00011-4