Experimental and Numerical Investigations of the Flow of Polymeric Fluids

A special issue of Polymers (ISSN 2073-4360). This special issue belongs to the section "Polymer Processing and Engineering".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 2915

Special Issue Editors


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Guest Editor
Department of Mechanical and Industrial Engineering, Concordia University, 1455 De Maisonneuve Blvd. W, EV-2.320, Montreal, QC H3G 1M8, Canada
Interests: multiphase flow; CFD; fuel cell modelling; flow in porous media; machine and deep learning

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Guest Editor
Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada
Interests: thermally sprayed coatings; computational fluid dynamics; fuel spray and atomization

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Guest Editor
Department of Physics and Mechanics, University of Grenoble-Alps, Grenoble, France
Interests: experimental fluid dynamics; numerical methods; rheology; non-Newtonian fluids; particle-laden and multiphase flows; heat and mass transfer; applications in microfluidics and additive manufacturing

Special Issue Information

Dear Colleagues,

Polymeric fluids are ubiquitous in natural and engineering processes, including those involving biological fluids, polymer processing, inkjet printing, lubrication applications, additive manufacturing, hydraulic fracturing, lava flow, food processing, and surface coating.

The nature of the polymer and its concentration play critical roles in all these situations where flow dynamics may vary significantly. Consequently, innovative experimental measurements combined with advanced numerical modelling are essential for better understanding and optimizing a wide range of industrial processes and applications.

The aim of this Special Issue is to provide an overview of recent developments in all areas relevant to flows of polymeric fluids with eventual fluid-structure interaction problems. We particularly welcome submissions on the measurement of stress and strain in various experimental configurations, detailed flow visualizations in macro- and microflows, advanced signal processing as well as steady and transient numerical simulations tackling instabilities that may develop because of the nature of the constitutive equations and/or the heat and mass transfer phenomena.  

To summarize, this Special Issue aims to present new ideas, innovative experimental techniques, and advanced numerical methods that can be eventually coupled with big data analysis and machine learning. This integrated multidisciplinary and multiscale paradigm may then be used to address challenging real-world applications. This Special Issue will cover, but is not limited to, the following aspects of experimental and numerical investigations of polymeric fluids:

  • Characterization and applications of polymers
  • Coatings, surfaces, and interfaces
  • Constitutive equations and implementation of advanced numerical methods
  • Microfluidics in integrated devices such as customized lab-on-chip
  • Current trends in the development of polymer-based composite materials and fabrication methods
  • Food processing
  • Organics electronics and biomaterials
  • Polymer flow in porous media
  • Additive manufacturing

To emphasize the significance of this Special Issue, in which selected papers will be published, we wish to share the following points with our colleagues:

  • The 12th anniversary of Polymers (12 June 2021) coincides with the 101st anniversary of the milestone publication “Über Polymerisation” by Professor Hermann Staudinger, who coined the concept of “macromolecule” in 1922, essentially establishing the field of polymer science.
  • According to Web of Science (WoS) bibliometrics, the new impact factor of Polymers, which will be officially announced at the end of this month, has now surpassed 4.0.
  • The deadline of this Special Issue has been extended to the end of the year in order to allow ample time for all researchers to submit their work under the best conditions.

With our very best regards,

Dr. Moussa Tembely
Prof. Dr. Ali Dolatabadi
Prof. Dr. Arthur Soucemarianadin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Polymers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • polymeric fluids
  • experiments, theories, and applications
  • stress and strain measurements
  • flow visualizations
  • signal processing
  • numerical simulations
  • data processing
  • polymer flow in porous media
  • polymer rheology
  • machine learning

Published Papers (1 paper)

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Research

16 pages, 3378 KiB  
Article
Application of Wavelet Feature Extraction and Artificial Neural Networks for Improving the Performance of Gas–Liquid Two-Phase Flow Meters Used in Oil and Petrochemical Industries
by Siavash Hosseini, Osman Taylan, Mona Abusurrah, Thangarajah Akilan, Ehsan Nazemi, Ehsan Eftekhari-Zadeh, Farheen Bano and Gholam Hossein Roshani
Polymers 2021, 13(21), 3647; https://doi.org/10.3390/polym13213647 - 23 Oct 2021
Cited by 38 | Viewed by 2420
Abstract
Measuring fluid characteristics is of high importance in various industries such as the polymer, petroleum, and petrochemical industries, etc. Flow regime classification and void fraction measurement are essential for predicting the performance of many systems. The efficiency of multiphase flow meters strongly depends [...] Read more.
Measuring fluid characteristics is of high importance in various industries such as the polymer, petroleum, and petrochemical industries, etc. Flow regime classification and void fraction measurement are essential for predicting the performance of many systems. The efficiency of multiphase flow meters strongly depends on the flow parameters. In this study, MCNP (Monte Carlo N-Particle) code was employed to simulate annular, stratified, and homogeneous regimes. In this approach, two detectors (NaI) were utilized to detect the emitted photons from a cesium-137 source. The registered signals of both detectors were decomposed using a discrete wavelet transform (DWT). Following this, the low-frequency (approximation) and high-frequency (detail) components of the signals were calculated. Finally, various features of the approximation signals were extracted, using the average value, kurtosis, standard deviation (STD), and root mean square (RMS). The extracted features were thoroughly analyzed to find those features which could classify the flow regimes and be utilized as the inputs to a network for improving the efficiency of flow meters. Two different networks were implemented for flow regime classification and void fraction prediction. In the current study, using the wavelet transform and feature extraction approach, the considered flow regimes were classified correctly, and the void fraction percentages were calculated with a mean relative error (MRE) of 0.4%. Although the system presented in this study is proposed for measuring the characteristics of petroleum fluids, it can be easily used for other types of fluids such as polymeric fluids. Full article
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