Comparison of porous media permeability: experimental, analytical and numerical methods

Mahdi, FAIZM orcid.org/0000-0002-3046-4389 (Filed: 2014) Comparison of porous media permeability: experimental, analytical and numerical methods. PhD thesis, Loughborough University.

Abstract

Metadata

Authors/Creators:
Keywords: Porous Media Permeability, Multivariate Regression (MVR), Artificial Neural Network (ANN), Computational Fluid Dynamics (CFD) and Particle Characteristics
Dates:
  • Published: 14 April 2014
  • Filed: 1 February 2014
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Chemical & Process Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 19 Mar 2018 14:21
Last Modified: 18 Jul 2018 16:04
Published Version: https://dspace.lboro.ac.uk/2134/16140
Status: Unpublished
Publisher: Loughborough University

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