Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Srinivasa P. Pai"'
Publikováno v:
International Journal of Lightweight Materials and Manufacture, Vol 5, Iss 4, Pp 528-542 (2022)
Magnesium (Mg) alloys are popular in the aerospace and automotive sector owing to their light-weight aspects. Amongst various Mg alloys, AZ91 alloy behaviour under machining has been trending and needs to be completely explored. The selection of opti
Externí odkaz:
https://doaj.org/article/b2b8db78387d4afab732ceaf983ae708
Publikováno v:
Journal of Materials Engineering and Performance. 32:2749-2757
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0e1993df60810489b787905dbe64766
https://doi.org/10.1007/s11665-022-07187-4
https://doi.org/10.1007/s11665-022-07187-4
Publikováno v:
Defence Science Journal. 72:105-113
In this study, optimum machining parameters are evaluated for enhancing the surface roughness and hardness of AZ91 alloy using Taguchi design of experiments with Grey Relational Analysis. Dry face milling is performed using cutting conditions determi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6976aadd401fc777a77252793e0da8a2
https://doi.org/10.14429/dsj.72.17049
https://doi.org/10.14429/dsj.72.17049
Publikováno v:
Materials Today: Proceedings. 52:802-809
AZ91 magnesium alloy have gained vast attention in the recent years for its low density and good mechanical properties which is crucial in improving the automobile-aerospace vehicle efficiency. High speed dry face milling operation is performed on AZ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a46121486fa1023cd1d39877c5d9a81
https://doi.org/10.1016/j.matpr.2021.10.154
https://doi.org/10.1016/j.matpr.2021.10.154
Publikováno v:
SCRS Proceedings of International Conference of Undergraduate Students ISBN: 9788195502011
The process of taking an input and converting it into a class or a likelihood that it belongs to that class is termed as image classification. For use in image processing applications, traditional machine learning models necessitate formal image proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b88cc278562cbc801e38b3b0c415f0a9
https://doi.org/10.52458/978-81-95502-01-1-15
https://doi.org/10.52458/978-81-95502-01-1-15
Publikováno v:
Advances in Systems Analysis, Software Engineering, and High Performance Computing
Condition monitoring (CM) is the process that assesses the health of equipment/systems at regular intervals or continuously and exposes incipient faults if any. Bearing failure is one of the foremost causes of breakdown in rotating machine, resulting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20fb5b31eb1b6d0d7f1c3569d5295b13
https://doi.org/10.4018/978-1-7998-6721-0.ch006
https://doi.org/10.4018/978-1-7998-6721-0.ch006
This book offers a comprehensive exploration of'Smart Materials and Manufacturing Technologies for Sustainable Development “delves into the dynamic intersection of innovative materials, intelligent manufacturing, and sustainable practices, presenti
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 231:3923-3939
This article develops and compares health indices using different approaches namely singular value decomposition, average value of the cumulative feature and Mahalanobis distance for assessing the rolling element bearing condition. The vibration sign
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3347fd37c3afd229cec449b0355d96c7
https://doi.org/10.1177/0954406216656214
https://doi.org/10.1177/0954406216656214
Publikováno v:
International Journal of Diabetes in Developing Countries. 37:46-49
A randomized, double-blinded, controlled clinical trial was conducted to assess the efficacy of topical phenytoin compared to conventional wound care in improving the healing process and to prove it as a relatively low-cost and easy-to-use option in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbb74e3cc4fa106e1bfb01a22d97fe36
https://doi.org/10.1007/s13410-016-0473-x
https://doi.org/10.1007/s13410-016-0473-x
Publikováno v:
Machining Science and Technology. 16:653-676
The monitoring of tool wear is a most difficult task in the case of various metal-cutting processes. Artificial Neural Networks (ANN) has been used to estimate or classify certain wear parameters, using continuous acquisition of signals from multi-se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36994375eadbc5c55ea2ca0a5fa660e4
https://doi.org/10.1080/10910344.2012.731954
https://doi.org/10.1080/10910344.2012.731954