Zobrazeno 1 - 10
of 35
pro vyhledávání: '"G. Sankaraiah"'
Publikováno v:
Production and Manufacturing Research: An Open Access Journal, Vol 6, Iss 1, Pp 149-170 (2018)
In this paper, the effect of Deep Cryogenic Treatment (DCT) soaking duration on tungsten carbide end mill cutters on cutting forces and power consumption during machining P20 mold steel in CNC milling machine is investigated and optimized the process
Externí odkaz:
https://doaj.org/article/893bfbd9437c4e1d80ce1385a788333c
Publikováno v:
South African Journal of Industrial Engineering, Vol 22, Iss 2 (2012)
ENGLISH ABSTRACT: The reliability of a system is generally treated as a function of cost; but in many real-life situations reliability will depend on a variety of factors. It is therefore interesting to probe the hidden impact of constraints apart fr
Externí odkaz:
https://doaj.org/article/9221e16b2fd14134ae04f019eeacef26
Akademický článek
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Akademický článek
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Publikováno v:
Advances in Materials and Processing Technologies. 7:288-303
The aim of this research is to assimilate the properties of reinforced aluminium, stainless steel wire mesh with glass fibre epoxy hybrid composites. The fore mentioned entities cropped in rectangu...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5925ac9de8e7d9b4b53c0763b3b9b7ed
https://doi.org/10.1080/2374068x.2020.1765107
https://doi.org/10.1080/2374068x.2020.1765107
Publikováno v:
Materials Today: Proceedings. 5:27058-27064
In this paper an attempt is made to predict Material Removal Rate and Surface roughness in CNC milling of P20 steel using Artificial Neural Networks (ANN). Taguchi’s L50 orthogonal array is used to design the experiments. The cutting parameters cut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bf3a7c63e4de496ca04cd3a19158b97
https://doi.org/10.1016/j.matpr.2018.09.010
https://doi.org/10.1016/j.matpr.2018.09.010
Publikováno v:
Materials Today: Proceedings. 5:18376-18382
In this paper an attempt is made to predict Material Removal Rate and Surface roughness in CNC milling of P20 steel using Artificial Neural Networks (ANN). Taguchi’s L50 orthogonal array is used to design the experiments. The cutting parameters cut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::079d6c42d8490f957adb8c607cad737d
https://doi.org/10.1016/j.matpr.2018.06.177
https://doi.org/10.1016/j.matpr.2018.06.177
Publikováno v:
IOSR Journal of Mechanical and Civil Engineering. 14:57-63
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d9fec16dff5709a04f053e24f149b1c
https://doi.org/10.9790/1684-1403055763
https://doi.org/10.9790/1684-1403055763
Publikováno v:
Materials Today: Proceedings. 4:9163-9169
In this paper an attempt is made to optimize parameters such as Cutting speed, Feed, Nose radius, Axial depth of cut and Radial depth of cut of P20 steel in CNC milling using Response surface Methodology and Taguchi method using Design Expert softwar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8301cc6999e5af4811825e0abce90a5b
https://doi.org/10.1016/j.matpr.2017.07.273
https://doi.org/10.1016/j.matpr.2017.07.273
Publikováno v:
RENEWABLE ENERGY SOURCES AND TECHNOLOGIES.
The Vortex tube is used for various applications like cooling of the equipments in CNC machines, refrigerators, cooling suits etc. This study converses the application of Taguchi method for establishing the influence of process parameters including t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adbdc4b3eed806472edcd4a12b7b6a7f
https://doi.org/10.1063/1.5127612
https://doi.org/10.1063/1.5127612