03170nam a2200397 4500 20260818173922.0 130598 th eng .b11589450 AIT Thesis no.AE-96-10 Singh, Pawan Preet Pressure drop estimation in tube flow of non-Newtonian fluid foods by neural networks Bangkok : Asian Institute of Technology, 1996 76 leaves + 1 online resource Thesis ; no. AE-96-10 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering Thesis (M.Eng.) - Asian Institute of Technology, 1996 A tube flow viscometer complete with data acquisition system was designed and developed for continuous measurement of pressure drop and flow velocity. Experiments were carried out with five fluids using different diameter stainless steel tubes to cover a wide range of test conditions. The viscometeric characterization of non-Newtonian fluid flow for all test samples followed a power-law relationship in the form of wall shear stress vs. shear rate. As the fluids were highly viscous, the flow remained in the laminar region. The fluid foods followed different power-law parameters when using the Brookfield and tube viscometers due to very low shear rates in the former case and wall-slip in the latter case. However, an empirical relationship was established between the slip corrected tube viscometer parameters and Brookfield parameters, and this formed the basis for the estimation of flow behavior in pipes. Finally, another approach based on the application of neural networks very accurately predicted the pressure loss in pipe flow from the information on fluid density, tube diameter, mass flow rate and the flow parameters (K and n) of a power-law relationship determined with a Brookfield viscometer. Three neural network architectures were used for the training. The generalized regression neural networks were most easy to train and predicted the pressure drop gradient in tube flow with average absolute error less than 5%. Non-Newtonian fluids Jindal, Vinod Kumar, Chairperson Athapol Noomhorm, Examination Committee Vincent, J.C., Examination committee Rakshit, Sudip Kumar, Examination Committee Asian Development Bank, Scholarship donor Asian Institute of Technology. Thesis ; no. AE-96-10 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B14488 .b11589450 mnait v 240329 0 970320 m a v 0 mnait mnarc 22 40 Barcode : 30050120577662 CREATED : 2013-11-22 RECORD # : i12748572 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120372296 CREATED : 2016-02-06 RECORD # : i13011261 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 91286 91286 0 0 0 0 MAIN MAIN mnait 2026-08-18 50.00 0 AIT Thesis no.AE-96-10 30050120577662 2026-08-18 17:39:22 3 2026-08-18 22 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT Thesis no.AE-96-10 30050120372296 2026-08-18 17:39:22 2026-08-18 40