Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Hocine Bendjama"'
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 120:3599-3607
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb946a6de7dc284f89d71fc2eff0e8cd
https://doi.org/10.1007/s00170-022-08993-9
https://doi.org/10.1007/s00170-022-08993-9
Autor:
Hocine Bendjama
Publikováno v:
Journal of the Brazilian Society of Mechanical Sciences and Engineering. 44
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df25e1d2b7a03b22f0805ce0dfc16296
https://doi.org/10.1007/s40430-022-03688-4
https://doi.org/10.1007/s40430-022-03688-4
The monitoring of casting quality is very important to ensure the safe operation of casting processes. In this paper, in order to improve the accurate detection of casting defects, a combined method based on Principal Component Analysis (PCA) and Sel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88d5aef7e45eb906ebb9de28ec9cc801
https://doi.org/10.21203/rs.3.rs-1036731/v1
https://doi.org/10.21203/rs.3.rs-1036731/v1
Publikováno v:
International Journal of Engineering Research in Africa. 41:8-19
The aim of this work is to study the plastic instabilities occurring on the stamped sheets during deep drawing process. The analysis of the plastic deformation of the material showed that the deformation occurs in bi-axial extension at the bottom of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::254ab98fbd08834eca412336ee6c6645
https://doi.org/10.4028/www.scientific.net/jera.41.8
https://doi.org/10.4028/www.scientific.net/jera.41.8
Publikováno v:
International Journal of Advanced Manufacturing Technology
International Journal of Advanced Manufacturing Technology, Springer Verlag, 2019, 100 (1-4), pp.361-371. ⟨10.1007/s00170-018-2700-8⟩
International Journal of Advanced Manufacturing Technology, Springer Verlag, 2019, 100 (1-4), pp.361-371. ⟨10.1007/s00170-018-2700-8⟩
International audience; This paper deals with the identification and modelling of the deformation behaviour of DC04 sheet metal. An application of the identified behaviour model in the framework of finite element (FE) simulation of deep drawing is pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01ba510aee3fc77f060431da0849cf50
https://doi.org/10.1007/s00170-018-2700-8
https://doi.org/10.1007/s00170-018-2700-8
Publikováno v:
Australian Journal of Mechanical Engineering. 18:S165-S175
Blade faults are considered as the most common cause of failure in turbomachines. Any fault occurs in impeller’s blades gives the breakdown in these machines and creates undesired vibration. This p...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a028172f2c4198902e0013236c78003
https://doi.org/10.1080/14484846.2018.1499471
https://doi.org/10.1080/14484846.2018.1499471
Autor:
Hocine Bendjama, Djallel Mahdi
Publikováno v:
Journal of Failure Analysis and Prevention. 16:931-937
Non-destructive testing (NDT) is a highly valuable technique in evaluation and evolution of materials and products. X-ray imaging is an important NDT technique that is used widely in the metal industry in order to control the quality of materials. So
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86abb9df27da2b033151f96dde56d33b
https://doi.org/10.1007/s11668-016-0175-1
https://doi.org/10.1007/s11668-016-0175-1
Publikováno v:
Desalination and Water Treatment. 52:6733-6744
In the present work, the degradation of azo dye Naphtol Blue Black (NBB) in aqueous solution by electro-Fenton process was investigated. The results indicated that the degradation of NBB by electro-Fenton process followed the second-order reaction ki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cd494fe9ed1ac500ab8b8db8c993e24
https://doi.org/10.1080/19443994.2013.821033
https://doi.org/10.1080/19443994.2013.821033
Publikováno v:
International Journal of Machine Learning and Computing. :82-87
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d2478e4566aae5e5ef96601c761d8b9
https://doi.org/10.7763/ijmlc.2012.v2.93
https://doi.org/10.7763/ijmlc.2012.v2.93
Publikováno v:
Condition Monitoring of Machinery in Non-Stationary Operations ISBN: 9783642287671
Condition monitoring and faults diagnosis in rotating machinery is a current research field. In this direction the use of pattern recognition combined with non-destructive testing techniques such as’ vibration analysis and signal processing can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d13fc0af0b3d3d536e2febf76923ba71
https://doi.org/10.1007/978-3-642-28768-8_30
https://doi.org/10.1007/978-3-642-28768-8_30