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Processes
Special Issues
Process Research in Thin Film and Coating Technology
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Process Research in Thin Film and Coating Technology

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Materials Processes".

Deadline for manuscript submissions: 25 June 2024 | Viewed by 2806

Special Issue Editors

Dr. George D. Verros

E-Mail Website
Guest Editor
Department of Chemistry, Aristotle University of Thessaloniki, P.O. Box 454 Plagiari Thes., 57500 Epanomi, Greece
Interests: coatings; polymers; thermodynamics; simulations
Special Issues, Collections and Topics in MDPI journals
Dr. Raj Kumar Arya

E-Mail Website
Guest Editor
Department of Chemical Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar 144011, India
Interests: thin film polymeric functional coatings; modeling and simulation; hydrogen energy; surfactant enhanced drying; process engineering; CO2 sequestration; water treatment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is dedicated to “Process Research in Thin Film and Coating Technology”. The aim is to bring together scientists working on the technology of membranes and coatings from several disciplines to further develop new methods and ideas.

The topics to be covered include (but are not limited to):

  • Polymers, metals, alloys, and composites for membranes and coatings;
  • Novel materials for membranes and coatings;
  • Synthesis and characterization of membranes and coatings;
  • Industrial processes:

         - Electronics;

         - Transportation and automotive industry;

         - Health products;

         - 3D printing;

         - Food industry: edible coatings.

  • Thermodynamics and transport properties;
  • Theory and simulations:

         - Membrane and coating formation;

         - Diffusion in membranes and coatings;

         - Property‒structure relations.

  • Applications:

        - Functional membranes and coatings ;

        - Separations;

        - Biological and biomedical applications;

        - Anti corrosive coatings;

        - Self healing coatings;

        - Controlled release;

        - Energy applications;

        - Water treatment;

        - CO2 Sequestration;

        - Buildings and construction.

Dr. George D. Verros
Dr. Raj Kumar Arya
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. Processes is an international peer-reviewed open access monthly 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 2400 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.

Published Papers (2 papers)

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Research

15 pages, 2077 KiB  
Article
Modeling of Triphenyl Phosphate Surfactant Enhanced Drying of Polystyrene/p-Xylene Coatings Using Artificial Neural Network
by Devyani Thapliyal, Rahul Shrivastava, George D. Verros, Sarojini Verma, Raj Kumar Arya, Pramita Sen, Shiv Charan Prajapati, Chahat and Ajay Gupta
Processes 2024, 12(2), 260; https://doi.org/10.3390/pr12020260 - 25 Jan 2024
Viewed by 1009
Abstract
The drying process of polymeric coatings, particularly in the presence of surfactants, poses a complex challenge due to its intricate dynamics involving simultaneous heat and mass transfer. This study addresses the inherent complexity by employing Artificial Neural Networks (ANNs) to model the surfactant-enhanced [...] Read more.
The drying process of polymeric coatings, particularly in the presence of surfactants, poses a complex challenge due to its intricate dynamics involving simultaneous heat and mass transfer. This study addresses the inherent complexity by employing Artificial Neural Networks (ANNs) to model the surfactant-enhanced drying of poly(styrene)-p-xylene coatings. A substantial dataset of 16,258 experimentally obtained samples forms the basis for training the ANN model, showcasing the suitability of this approach when ample training data is available. The chosen single-layer feed-forward network with backpropagation adeptly captures the non-linear relationships within the drying data, providing a predictive tool with exceptional accuracy. Our results demonstrate that the developed ANN model achieves a precision level exceeding 99% in predicting coating weight loss for specified input values of time, surfactant amount, and initial coating thickness. The model’s robust generalization capability eliminates the need for additional experiments, offering reliable predictions for both familiar and novel conditions. Comparative analysis reveals the superiority of the ANN over the regression tree, emphasizing its efficacy in handling the intricate dynamics of polymeric coating drying processes. In conclusion, this study contributes a valuable tool for optimizing polymeric coating processes, reducing production defects, and enhancing overall manufacturing quality and cost-effectiveness. Full article
(This article belongs to the Special Issue Process Research in Thin Film and Coating Technology)
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20 pages, 2939 KiB  
Article
Development of Chitosan-Based Active Films with Medicinal Plant Extracts for Potential Food Packaging Applications
by Kwanele Andy Nxumalo, Olaniyi Amos Fawole and Adeyemi Oladapo Aremu
Processes 2024, 12(1), 23; https://doi.org/10.3390/pr12010023 - 21 Dec 2023
Viewed by 709
Abstract
In this study, 2% chitosan (Ch) (w/v) was enriched with 1% Lippia javanica, Syzygium cordatum, and Ximenia caffra extract to form Ch+L, Ch+S, and Ch+X, respectively. The control film was the chitosan (Ch) film without plant extracts. [...] Read more.
In this study, 2% chitosan (Ch) (w/v) was enriched with 1% Lippia javanica, Syzygium cordatum, and Ximenia caffra extract to form Ch+L, Ch+S, and Ch+X, respectively. The control film was the chitosan (Ch) film without plant extracts. The composite films were assessed for their antifungal ability using the agar diffusion method against economically relevant plant pathogens, Botrytis cinerea, and Penicillium expansum. These chitosan films were further evaluated using an X-ray diffractometer and scanning electron microscope, and their physical and mechanical properties were also assessed. The medicinal plants in the chitosan matrix had the highest inhibition zone (10 mm) against P. expansum, while the chitosan-only films had the lowest inhibition zone (3.3 mm). Notably, Ch+S and Ch+X films had the highest inhibition zone (10 mm) against B. cinerea, while chitosan-only films did not avert the spread of B. cinerea. Ch+L films had the highest film thickness (0.189 mm), density (1.62 g·cm3), swelling degree (48.6%), and water solubility (32.8%). Films with other plant extracts had moderate properties, while chitosan without plant extract had the least film thickness (0.128 mm), density (1.08 g·cm3), swelling degree (31.9%), and water solubility (18.9%). X-ray diffraction images revealed that the chitosan films fused with plant extracts altered the extent of crystallinity of the films because they ranged between 14,710.43 for chitosan-only films and 26,288.31 a.u. for Ch+S films. Enriching the chitosan-based films with the investigated medicinal plant extracts resulted in different favorable properties and could make good candidates for food preservation and packaging if optimized. Full article
(This article belongs to the Special Issue Process Research in Thin Film and Coating Technology)
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