Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Shubham Mangal"'
Publikováno v:
International Journal of Current Microbiology and Applied Sciences. 9:1266-1272
Publikováno v:
International Journal of Chemical Studies. 8:101-107
Guava is an important fruit crop with regards to its nutritional and commercial value. Production and productivity are the prime concern of the researchers and farmers throughout the world. Looking to the cumulative toxic effects of inorganic fertili
Publikováno v:
Energy. 129:148-157
The maximization of the energy (steam) efficiency of a multi-stage evaporator system used for concentrating the black liquor in pulp and paper mills carries immense significance in today's scenario. The nonlinear mathematical models of heptads' effec
Publikováno v:
Transactions of the Institute of Measurement and Control. 40:2278-2290
This research article attempts to investigate the dynamic behavior of the heptads’ effect evaporator (HEE) used to concentrate the weak black liquor during the Kraft recovery process in a paper industry. In order to fully characterize the HEE unit,
Publikováno v:
International Journal of System Assurance Engineering and Management. 9:111-130
Mathematical models have been studied and solved for evaluating an optimized process configuration for the energy intensive black liquor concentrating Kraft recovery process in paper mills. In the present study, a heptads effect evaporator system is
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811004506
SocProS (2)
SocProS (2)
In order to reduce the energy consumption of the concentrating the black liquor in Kraft recovery process in paper mill, a mathematical models is developed and proposed for the analysis of multi stage evaporator (heptad’s effect evaporator system).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f7586eaca576230468445fa10f53630
https://doi.org/10.1007/978-981-10-0451-3_87
https://doi.org/10.1007/978-981-10-0451-3_87
Publikováno v:
Proceedings of Fifth International Conference on Soft Computing for Problem Solving: SocProS 2015, Volume 2; 2016, p1011-1042, 32p