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Wyszukujesz frazę "Kundu, P. K." wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Outcome of nanofluid flow containing arbitrary shape nanoparticles induced by a permeable stretching sheet
Autorzy:
Sarkar, A.
Kundu, P. K.
Powiązania:
https://bibliotekanauki.pl/articles/264501.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
przenoszenie ciepła
nanociecze
promieniowanie cieplne
nanofluid
heat transfer
boundary layer flow
thermal radiation
permeable stretching sheet
Opis:
In this work we have discussed the impact of thermal radiation on heat transfer to nanofluid flow over an unsteady permeable stretching sheet using various types of arbitrary shape nanoparticles of Copper (Cu), Silver (Ag), Alumina [...], and Titania Oxide [...] in the base fluid. Suitable transformations have been employed to build ODEs from the partial differential equations. Numerical results are therefore obtained particularly for cylindrical shape and spherical shape nanoparticles. Our analysis substantiates that the velocity and temperature profiles increases with enhanced thermal radiation parameter. Further, Nusselt number is more advanced for the nanofluid that contains cylindrical shape nanoparticles as compared to spherical shape nanoparticles.
Źródło:
International Journal of Applied Mechanics and Engineering; 2020, 25, 2; 142-156
1734-4492
2353-9003
Pojawia się w:
International Journal of Applied Mechanics and Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Soil temperature prediction from air temperature for alluvial soils in lower Indo-Gangetic plain
Autorzy:
Barman, D.
Kundu, D.K.
Pal, S.
Chakraborty, A.K.
Jha, A.K.
Mazumdar, S.P.
Saha, R.
Bhattacharyya, P.
Powiązania:
https://bibliotekanauki.pl/articles/25358.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Instytut Agrofizyki PAN
Opis:
Soil temperature is an important factor in biogeochemical processes. On-site monitoring of soil temperature is limited in spatio-temporal scale as compared to air temperature data inventories due to various management difficulties. Therefore, empirical models were developed by taking 30-year long-term (1985-2014) air and soil temperature data for prediction of soil temperatures at three depths (5, 15, 30 cm) in morning (0636 Indian standard time) and afternoon (1336 Indian standard time) for alluvial soils in lower Indo-Gangetic plain. At 5 cm depth, power and exponential regression models were best fitted for daily data in morning and afternoon, respectively, but it was reverse at 15 cm. However, at 30 cm, exponential models were best fitted for both the times. Regression analysis revealed that in morning for all three depths and in afternoon for 30 cm depth, soil temperatures (daily, weekly, and monthly) could be predicted more efficiently with the help of corresponding mean air temperature than that of maximum and minimum. However, in afternoon, prediction of soil temperature at 5 and 15 cm depths were more precised for all the time intervals when maximum air temperature was used, except for weekly soil temperature at 15 cm, where the use of mean air temperature gave better prediction.
Źródło:
International Agrophysics; 2017, 31, 1
0236-8722
Pojawia się w:
International Agrophysics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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