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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
International Journal of Fluid Mechanics Research
ESCI SJR: 0.206 SNIP: 0.446 CiteScore™: 0.5

ISSN Печать: 2152-5102
ISSN Онлайн: 2152-5110

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International Journal of Fluid Mechanics Research

DOI: 10.1615/InterJFluidMechRes.2019021943
Forthcoming Article

Estimation of pressure drop for Non-Newtonian liquid flow through bends using Adaptive non-parametric model

Suman Debnath
NIT, Agartala
Anirban Banik
NIT, Agartala
Tarunkanti Bandyopadhyay
Mrinmoy Majumder
NIT, Agartala
Apu Kumar Saha
NIT, Agartala

Краткое описание

Studies of Non-Newtonian pseudo plastic liquid flow through bends are important as it is used in many chemical process industries like petroleum and Refinery, Pharmaceutical, Rubber, Paper Pulp and food industries, as a piping components for fluid flow transfer and heat transfer equipment in boiler, heat exchanger, distillation column, and aircrafts. In the concern study, non-Newtonian pseudo plastic SCMC solution (sodium salt of carboxy Methyl Cellulose solution) liquid flow through different types of angle of 0.0127m diameter pipe bends has been investigated experimentally to optimize the frictional pressure drop across the bends in laminar and water flow in turbulent condition. The Group method of Data Handling (GMDH) with multilayered neural network is used to predict and minimize the pressure drop. Pressure drop is minimized at the optimal concentration of the fluid and the bend angle. The GMDH model is validated against the validation techniques like NSE, PBIAS, and RSR etc. It has been found that software predicted data can be used for the trouble shooting in industry and in equipment design.