Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Eleno Alfonso-Brindis"'
Autor:
Eleno Alfonso-Brindis, Mario Feliú-Rosado, Maritza Mariño-Cala, Alberto Velázquez-del Rosario
Publikováno v:
Minería y Geología, Vol 18, Iss 1 (2001)
Se evalúa el comportamiento de los aceros austeníticos fundidos AISI HH y HK- 40 (de producción nacional) ante los procesos de carburización y nitruración en los rangos de temperaturas desde 750 hasta 1 000 °C. Se estudia la cinética y la term
Externí odkaz:
https://doaj.org/article/5c138b3512934302901ef84ca0732e11
Autor:
null Eleno Alfonso Brindis, null Sanjeevkoemar Bissesar, null Faizel Abdoel Wahid, null Francisco Tchiquendja Eleno
Publikováno v:
Journal of Mechanics Engineering and Automation. 6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9239ee3c07c2004ede1dc7bbc86ec503
https://doi.org/10.17265/2159-5275/2016.01.001
https://doi.org/10.17265/2159-5275/2016.01.001
Autor:
Sanjeevkoemar Bissesar, Eleno Alfonso Brindis, Faizel Abdoel Wahid, Orestes González Quintero
Publikováno v:
23rd ABCM International Congress of Mechanical Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f3424b43f8762dcf7278b071710ec57
https://doi.org/10.20906/cps/cob-2015-0329
https://doi.org/10.20906/cps/cob-2015-0329
Autor:
Bárbaro Luis Peña Rodríguez, Orestes González Quintero, Eleno Alfonso Brindis, Francisco Tchiquendja Eleno
Publikováno v:
23rd ABCM International Congress of Mechanical Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::562a4f3c95ea866486163103da97fcab
https://doi.org/10.20906/cps/cob-2015-2001
https://doi.org/10.20906/cps/cob-2015-2001
Autor:
Eleno Alfonso Brindis, Sanjeevkoemar Bissesar, Francisco Tchiquendja Eleno, Faizel Abdoel Wahid
Publikováno v:
23rd ABCM International Congress of Mechanical Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8722151bc732a8b7645f0f819b971a8a
https://doi.org/10.20906/cps/cob-2015-0196
https://doi.org/10.20906/cps/cob-2015-0196
Publikováno v:
Engineering Applications of Artificial Intelligence. 19:127-133
Determination of optimal cutting parameters is one of the most important elements in any process planning of metal parts. This paper presents a multi-objective optimization technique, based on genetic algorithms, to optimize the cutting parameters in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa2ef3f83892553fee1230e70f38e676
https://doi.org/10.1016/j.engappai.2005.06.007
https://doi.org/10.1016/j.engappai.2005.06.007