Pressure drop estimation in tube flow of non-Newtonian fluid foods by neural networks (Record no. 91286)

MARC details
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fixed length control field 03170nam a2200397 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260818173922.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130598 th eng
035 ## - SYSTEM CONTROL NUMBER
System control number .b11589450
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no.AE-96-10
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Singh, Pawan Preet
245 10 - TITLE STATEMENT
Title Pressure drop estimation in tube flow of non-Newtonian fluid foods by neural networks
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Bangkok :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 1996
300 ## - PHYSICAL DESCRIPTION
Extent 76 leaves +
Accompanying material 1 online resource
490 1# - SERIES STATEMENT
Series statement Thesis ;
Volume/sequential designation no. AE-96-10
500 ## - GENERAL NOTE
General note A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Eng.) - Asian Institute of Technology, 1996
520 ## - SUMMARY, ETC.
Summary, etc. 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%.
650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Non-Newtonian fluids
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jindal, Vinod Kumar,
Relator term Chairperson
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Athapol Noomhorm,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Vincent, J.C.,
Relator term Examination committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rakshit, Sudip Kumar,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Development Bank,
Relator term Scholarship donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Thesis ;
Volume/sequential designation no. AE-96-10
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B14488">http://203.159.5.9/ait-thesis/detail.php?q=B14488</a>
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998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 970320
First date, FD (RLIN) m
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 22-AIT Thesis (Replacement)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 40-Archives
909 ## - LOCAL ITEMS USED
Barcode Barcode : 30050120577662
CREATED CREATED : 2013-11-22
RECORD Id RECORD # : i12748572
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Barcode Barcode : 30050120372296
CREATED CREATED : 2016-02-06
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Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026 50.00   AIT Thesis no.AE-96-10 30050120577662 18/08/2026 3 18/08/2026 22-AIT Thesis (Replacement)
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026     AIT Thesis no.AE-96-10 30050120372296 18/08/2026   18/08/2026 40-Archives
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