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Recent Advances in Technology for Polymer Composite Materials, 2nd Edition
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Recent Advances in Technology for Polymer Composite Materials, 2nd Edition

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Materials Science and Engineering".

Deadline for manuscript submissions: closed (20 January 2025) | Viewed by 5346

Special Issue Editors

Dr. Evangelia Tarani

E-Mail Website
Guest Editor
1. Laboratory of Advanced Materials and Devices, School of Physics, Aristotle University of Thessaloniki, GR 54636 Thessaloniki, Greece
2. Department of Chemistry, University of Ioannina, P.O. Box 1186, GR-45110 Ioannina, Greece
Interests: sustainable material science; sustainable composites; thermal properties; crystallization; degradation; kinetics; structural characterization
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Konstantinos Chrissafis

E-Mail Website
Guest Editor
Laboratory of Advanced Materials and Devices, Physics Department, Aristotle University of Thessaloniki, GR 541 24 Thessaloniki, Greece
Interests: electronic properties of semiconductors; devices; thermal analysis of materials
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The growing interest in innovative and high-performance materials has made composite materials an interesting object of research because of their excellent strength-to-weight ratio and wide range of applications (aerospace, automotive, electronics, constructions, packaging, medical devices, etc.). On the one hand, many studies are devoted to the exploration of new high-cost techniques for the production of composite materials. On the other hand, other studies are concerned with optimizing processes for existing techniques in order to obtain high-performance, yet lightweight, materials.

This Special Issue will focus on polymer composite materials, innovative technologies, and manufacturing processes. Contributions may relate to conventional or unconventional processes and may highlight novel aspects of processing and manufacturing methods, coating technologies, fiber treatments, and materials that can be used to produce cost-effective and eco-friendly materials. Topics may include their mechanical, thermal, microstructural, and morphological properties and modeling. Submissions on related topics are welcome, including bioplastics and microplastics, as well as their synthesis, characterization, and their applications. This Issue will also accept state-of-the-art reviews on different composite materials by highlighting the range of applications for polymeric materials.

Dr. Evangelia Tarani
Prof. Dr. Konstantinos Chrissafis
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. Applied Sciences 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 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.

Keywords

  • composites
  • nanocomposites
  • advanced materials
  • polymers
  • manufacturing technology
  • nanotechnology
  • nanoparticles
  • additive technology
  • recycling technology
  • structural adhesives and composites
  • fillers
  • fibers
  • adhesive resins
  • thermal properties
  • mechanical properties
  • electrical properties
  • modeling

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Related Special Issue

Published Papers (3 papers)

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Research

20 pages, 5232 KiB  
Article
An Evaluation of the Use of Coffee Silverskin Particles and Extracts as Additives in Wheat Flour/Glucose Mixtures to Produce Bioactive Films for Food Packaging
by Argyri-Ioanna Petaloti, Anastasia Valtopoulou, Christina Gkogkou and Dimitris S. Achilias
Appl. Sci. 2024, 14(17), 7563; https://doi.org/10.3390/app14177563 - 27 Aug 2024
Cited by 1 | Viewed by 1123
Abstract
The scientific community’s interest in finding an alternative to the term “wastes” for coffee by-products is steadily increasing. The substantial presence of polyphenols, caffeine, and tannins in these wastes could result in the contamination of water and soil, as they exhibit harmful effects [...] Read more.
The scientific community’s interest in finding an alternative to the term “wastes” for coffee by-products is steadily increasing. The substantial presence of polyphenols, caffeine, and tannins in these wastes could result in the contamination of water and soil, as they exhibit harmful effects on a range of plants, microorganisms, and aquatic organisms. However, these identical antioxidants can extensively be utilized in food packaging applications. In the context of active packaging, the development of bioactive food packaging films based on natural products and coffee industry wastes is of significant importance according to circular economy principles. In this study, the effect of coffee silverskin particles, i.e., waste of the coffee roasting process, and coffee silverskin aqueous extracts on the properties and antioxidant activity of wheat flour-based films with glucose for food packaging applications were evaluated. In addition, chemical structure identification, optical and morphological analysis, color measurements, and physico-chemical characterization of the films were performed, determining their water absorption, film solubility, and degree of swelling. Furthermore, the oxygen and water vapor transition rate and their antioxidant activity were also measured, and it was found that increasing the addition of coffee silverskin particles and aqueous extracts affected the properties of the films. The biocomposite films of wheat flour and glucose with coffee silverskin particles produced in this work exhibited higher tensile stress at break and Young’s modulus compared with wheat flour film with no additives. However, a decrease in elongation at break was observed with increasing addition of the silverskin due to the transition from a pure elastomeric material to a crosslinked one following the formation of hydrogen bonds between the additive and the matrix, which was also found in the FTIR spectra. This work offers a new use of wheat flour and coffee silverskin as an inexpensive biocomposite material to produce multifunctional active films for food packaging applications. Full article
(This article belongs to the Special Issue Recent Advances in Technology for Polymer Composite Materials, 2nd Edition)
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22 pages, 1464 KiB  
Article
Supervised Machine Learning Models for Mechanical Properties Prediction in Additively Manufactured Composites
by Dario Prada Parra, Guilherme Rezende Bessa Ferreira, Jorge G. Díaz, Mateus Gheorghe de Castro Ribeiro and Arthur Martins Barbosa Braga
Appl. Sci. 2024, 14(16), 7009; https://doi.org/10.3390/app14167009 - 9 Aug 2024
Cited by 2 | Viewed by 1589
Abstract
This paper analyses mechanical property prediction through Machine Learning for continuous fiber-reinforced polymer matrix composites printed using the novel Material Extrusion Additive Manufacturing technique. The composite is formed by a nylon-based matrix and continuous fiber (carbon, Kevlar, or fiberglass). From the literature, the [...] Read more.
This paper analyses mechanical property prediction through Machine Learning for continuous fiber-reinforced polymer matrix composites printed using the novel Material Extrusion Additive Manufacturing technique. The composite is formed by a nylon-based matrix and continuous fiber (carbon, Kevlar, or fiberglass). From the literature, the elastic modulus and tensile strength were taken along with printing parameters like fiber content, fiber fill type, matrix lattice, matrix fill density, matrix deposition angle, and fiber deposition angle. Such data were fed to several supervised learning algorithms: Ridge Regression, Bayesian Ridge Regression, Lasso Regression, K-Nearest Neighbor Regression, CatBoost Regression, Decision Tree Regression, Random Forest Regression, and Support Vector Regression. The Machine Learning analysis confirmed that fiber content is the most influential parameter in elasticity (E) and strength (σ). The results show that the K-Nearest Neighbors and CatBoost provided the closest predictions for E and σ compared to the other models, and the tree-based model presented the narrowest error distribution. The computational metrics point to a size versus prediction time tradeoff between these two best predictors, and adopting the prediction time as the most relevant criterion leads to the conclusion that the CatBoost model can be considered, when compared to the others tested, the most appropriate solution to work as a predictor in the task at hand. Full article
(This article belongs to the Special Issue Recent Advances in Technology for Polymer Composite Materials, 2nd Edition)
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22 pages, 8459 KiB  
Article
Lignocellulosic-Based/High Density Polyethylene Composites: A Comprehensive Study on Fiber Characteristics and Performance Evaluation
by Dimitra Patsiaoura, Evangelia Tarani, Dimitrios N. Bikiaris, Eleni Pavlidou and Konstantinos Chrissafis
Appl. Sci. 2024, 14(9), 3582; https://doi.org/10.3390/app14093582 - 24 Apr 2024
Cited by 3 | Viewed by 1844
Abstract
Lignocellulosic-based polymer composites have gained significant interest due to their ‘’green’’ character as a response to environmental concerns. A diverse array of lignocellulosic fibers is utilized, depending on fiber dimensions, chemical composition, moisture content, and the fiber–matrix interface. The aim of this study [...] Read more.
Lignocellulosic-based polymer composites have gained significant interest due to their ‘’green’’ character as a response to environmental concerns. A diverse array of lignocellulosic fibers is utilized, depending on fiber dimensions, chemical composition, moisture content, and the fiber–matrix interface. The aim of this study is to establish an alternative standardized methodology, aimed at comparatively estimating the performance of polymer composites through the examination of individual plant fibers. The fibers studied are ramie, hemp, flax, and kenaf, and HDPE-based corresponding composites were analyzed for their performance across various fiber-content levels (10, 20, and 30 wt.%). It was found that kenaf showcases the largest average fiber diameter, succeeded by hemp, ramie, and flax. Additionally, ramie and kenaf exhibit elevated levels of crystallinity, suggesting increased cellulose content, with kenaf having the lowest crystallinity index among the fibers compared. Based on Thermogravimetric analysis, ramie displays the lowest moisture content among the examined fibers, followed by hemp, flax, and ultimately kenaf, which is recorded to have the highest moisture content, while, similarly, ramie exhibits the lowest mass loss at the processing temperature of the corresponding composites. Composites containing fibers with smaller diameters and higher crystallinity indexes and lower moisture absorptions, such as ramie and hemp, demonstrate superior thermal stability and exhibit increased Young’s modulus values in their respective composites. However, poor interfacial adhesion affects mechanical performance across all composites. Understanding fiber morphology, inner structure, and thermal stability is important for developing new composite materials and optimizing their selection for various applications. Full article
(This article belongs to the Special Issue Recent Advances in Technology for Polymer Composite Materials, 2nd Edition)
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