Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Sneh deep"'
Autor:
Gopalan Jagadeesh, Sneh Deep
Publikováno v:
Journal of Thermophysics and Heat Transfer. 35:735-750
This work describes numerical and experimental research in the Indian Hypersonic Shock Tunnel 3 on a blunt cone model and related computation of the facility parameters: nozzle reservoir conditions...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a017dc99249f71c69b5d76c9afb40a93
https://doi.org/10.2514/1.t6016
https://doi.org/10.2514/1.t6016
Publikováno v:
Renewable Energy. 161:319-339
Wind energy has exhibited the fastest growth of all renewable energy sources. Available wind energy potential for use by wind turbines has been found to be highly overestimated by existing methodologies when the wind energy potential is assessed from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36cc3d2fe2c10526ce19087b07a57d0d
https://doi.org/10.1016/j.renene.2020.07.054
https://doi.org/10.1016/j.renene.2020.07.054
Publikováno v:
International Journal of Current Microbiology and Applied Sciences. 9:2780-2800
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a0f12f7144936b8f9ae8c377d95f7b2
https://doi.org/10.20546/ijcmas.2020.909.345
https://doi.org/10.20546/ijcmas.2020.909.345
Publikováno v:
KSCE Journal of Civil Engineering. 23:3476-3492
Wind velocity data modeling plays a crucial role for the estimation of wind load and wind energy. Apart from these, the same modeling must also be used in the load cycle analysis of fatigue failure in slender structures to address periodic vortex she
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74cb8ec98eab44eaf3e05687a5af8e3e
https://doi.org/10.1007/s12205-019-1538-4
https://doi.org/10.1007/s12205-019-1538-4
Publikováno v:
International Journal of Current Microbiology and Applied Sciences. 7:2000-2006
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af7d7f735bd59b945954a734cf30f33f
https://doi.org/10.20546/ijcmas.2018.707.236
https://doi.org/10.20546/ijcmas.2018.707.236
Publikováno v:
KSCE Journal of Civil Engineering. 21:2764-2776
Wind speed data should be fitted by a suitable statistical model like Weibull to determine expected number of hours per year in the critical wind speed range for a slender structure, which is required to determine the expected number of stress cycles
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1a06926df218744b62112926ec8c7ad
https://doi.org/10.1007/s12205-017-0538-5
https://doi.org/10.1007/s12205-017-0538-5
Autor:
Gopalan Jagadeesh, Sneh Deep
Publikováno v:
The Review of scientific instruments. 90(7)
Tube furnaces are heating devices used for the synthesis of inorganic and organic compounds. It is essential to predict the spatially resolved temperature of solid substances placed inside tube furnaces in contact with its walls for a fixed steady te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d690a5e60178a8e8b3aab0e2659d5351
https://pubmed.ncbi.nlm.nih.gov/31370437
https://pubmed.ncbi.nlm.nih.gov/31370437
Autor:
B.Gopalan Jagadeesh, Sneh Deep
Publikováno v:
Proceedings of the 32nd International Symposium on Shock Waves (ISSW32 2019).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::298bd2743632fe99bff3fb390b05c93b
https://doi.org/10.3850/978-981-11-2730-4_0019-cd
https://doi.org/10.3850/978-981-11-2730-4_0019-cd
Autor:
Sneh Deep, Gopalan Jagadeesh
Publikováno v:
Proceedings of the 32nd International Symposium on Shock Waves (ISSW32 2019).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bb59e8fac411d2f09a96d6cfaef7184
https://doi.org/10.3850/978-981-11-2730-4_0023-cd
https://doi.org/10.3850/978-981-11-2730-4_0023-cd
Publikováno v:
Proceedings of the 32nd International Symposium on Shock Waves (ISSW32 2019).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f46a21d0796cf4277cbbbc34ef285dc
https://doi.org/10.3850/978-981-11-2730-4_0216-cd
https://doi.org/10.3850/978-981-11-2730-4_0216-cd