Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Brahim Ben Fathallah"'
Publikováno v:
Journal of Mechanical Engineering and Sciences. 15:8540-8554
The present research work proposes an experimental investigation helping to comprehend fundamental impacts of operating conditions during the cutting of cobalt alloys (Stellite 6). Thus, an experimental design was adopted to allow to build predicted
Autor:
Brahim Ben Fathallah, Mohamed Rawen
The Controlled grinding is governed by the maximum surface temperature in the wheel-workpiece interaction. In this study, we demonstrate that temperature is the significant controller on the surface characteristic grinding, the surface integrity, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccf03a2ce1b39ddd24c8937c9ed134e0
https://doi.org/10.21203/rs.3.rs-542165/v1
https://doi.org/10.21203/rs.3.rs-542165/v1
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 104:1449-1459
The present contribution aims to study the combination effects of pre- and post-nitriding grinding and gas nitriding parameters (depth of cut, abrasive type, cooling mode, and nitriding depth) on the material grindability and generated surface integr
Publikováno v:
International Journal of Industrial Engineering Computations, Vol 10, Iss 4, Pp 557-576 (2019)
In this study, several series of experiments on turning process of AISI 12L14 free cutting steel characterized by its self-lubrication and the high percentage of lead in its composition were performed to rate the influence of cutting conditions (Vc,
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9783030271459
The present paper consists of an experimental study to the effect of turning parameters on surface roughness of Cobalt alloy (Stellite 6) and the optimization of machining parameters based on Grey relational analysis. Taguchi’s design of experiment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5560c087b28c9b8767cad7bc06d006cc
https://doi.org/10.1007/978-3-030-27146-6_41
https://doi.org/10.1007/978-3-030-27146-6_41
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9783030271459
In this study, artificial neural networks (ANNs) were used to study the effects of machinability on cutting parameters during turning of the cobalt alloy (Stellite 6). Cutting forces with three axes (Fx, Fy and Fz) were predicted by changing the tool
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc1a787eb382cc099e6db8734faaccba
https://doi.org/10.1007/978-3-030-27146-6_43
https://doi.org/10.1007/978-3-030-27146-6_43
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 100:2945-2968
The present study consists in identifying the significant effects of various cutting conditions characterizing the machining of the cobalt-based alloy (Stellite 6). For that, an experimental approach based on experimental design was adopted. Predicti
Publikováno v:
International Journal of Fatigue. 138:105665
This paper explores the benefits of the controlled grinding surface of the AISI D2 steel. The effect of Sol-gel abrasive wheel and cryogenic cooling mode on surface integrity has been proved. These results lead to the higher level of compressive resi
Publikováno v:
Advanced Materials Research. 996:715-721
The effects of machined and treated surface characteristics on the fatigue strength were analyzed on the basis of experimental results related to AISI D2 ground surface and AA 5083-H111 hammered surface. The fatigue strength improvement resulting fro
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 100:2969-2969
The Table 1 in the original version of this article contained a mistake. Indeed, column 7, “W” must has a value of 3.74 not 15.04.3.74.