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Advances in Polymer Composites: Mechanical Performance, Manufacturing Process and Applications

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

Deadline for manuscript submissions: 20 May 2026 | Viewed by 1898

Special Issue Editors


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Guest Editor
Department of Materials Science, School of Natural Sciences, University of Patras, 26504 Patras, Greece
Interests: polymer nanocomposites; polymers; nanodielectrics; biocomposites; 3D printing; smart materials; dielectric behavior; conductivity; storing/retrieving energy; stimuli-responsive materials; piezoelectrics; ferroelectrics; pyroelectrics
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Guest Editor
Institute of Chemical Engineering Sciences (ICE-HT), Foundation for Research & Technology-Hellas (FORTH), Stadiou Street, Platani, P.O. Box 1414, 26504 Patras, Greece
Interests: applied spectroscopy; polymer characterization; surfactants; polymeric films; micro- and nano- composites especially carbon based nanocomposites (CNTs, Graphene oxide, etc.); characterization techniques: FT-Raman, UV-Raman, SERS, UV_Vis, DSC, TGA, XRD, SEM, BDS (Broandband Dielectric Spectroscopy) and mechanical testing

Special Issue Information

Dear Colleagues,

It is my pleasure to present this new Special Issue of Applied Sciences on “Advances in Polymer Composites: Mechanical Performance, Manufacturing Process and Applications”, which will be open to submissions until 20 January 2025.

With the rapid development of the aviation, aerospace, automobile, medical and health, military and other fields, polymer composites with their unique properties of high specific stiffness and strength, corrosion resistance, light weight and other advantages can replace traditional heavy metals, including steel and aluminium, to realize light weight and intelligence. Structural polymer composite materials are mainly constructed with fibrous reinforcement (usually high-performance fibres, such as carbon fibre, glass fibre, aramid fibre, etc.) and environmental resistant matrix materials (such as epoxy resin, etc..). The matrix of polymer composites is normally divided into thermoplastic and thermosetting matrices, both of which have been widely used in aerospace, aviation, biomedicine, automotive parts, electrodes and packaging materials.

This Special Issue on “Advances in Polymer Composites: Mechanical Performance, Manufacturing Process and Applications” welcomes original research and review papers on experimental or theoretical/computational studies highlighting innovative approaches towards the mechanical performance, manufacturing process and applications of functional polymer composites.

This Special Issue will cover a broad range of topics related to polymer composites, including, but not limited to, the following:

Mechanical Performance:

  • Evaluation and enhancement of the mechanical properties of polymer composites, such as tensile strength, impact resistance and fatigue behaviour.
  • Understanding the relationship between composite structure and mechanical performance.
  • Advances in testing methods and standards for assessing the mechanical properties of polymer composites.
  • Studying/optimizing the mechanical properties with artificial intelligence methods.

Manufacturing Processes:

  • Innovations in manufacturing techniques such as injection moulding, extrusion, 3D printing and additive manufacturing.
  • Optimization of processing parameters to improve the quality and performance of polymer composites.
  • Development of sustainable and environmentally friendly manufacturing processes.

Applications:

  • Exploration of novel applications of polymer composites in various industries, including aerospace, automotive, biomedical and electronics.
  • Future trends and potential new applications for polymer composites.

Hence, it is my pleasure to invite you to consider submitting a manuscript on your recent work for this Special Issue. Full papers, communications and reviews are all welcome.

I look forward to receiving your valuable contribution.

Dr. Anastasios C. Patsidis
Dr. Georgios N. Mathioudakis
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 250 words) can be sent to the Editorial Office for assessment.

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

  • mechanical performance
  • polymer composites
  • manufacturing techniques
  • sustainable processes
  • industrial applications
  • fatigue behavior
  • additive manufacturing
  • structure/properties relationship

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Published Papers (1 paper)

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Review

35 pages, 4738 KB  
Review
AI-Driven Design of Sustainable Flame-Retardant Biodegradable Polymer Composites
by Jinfeng Zhang, António Benjamim Mapossa, Yuxin Liu and Uttandaraman Sundararaj
Appl. Sci. 2026, 16(5), 2405; https://doi.org/10.3390/app16052405 - 1 Mar 2026
Viewed by 936
Abstract
The growing demand for lightweight, high-performance, and fire-safe polymer materials has accelerated research into advanced flame-retardant composites. Traditional experimental approaches to designing sustainable flame-retardant biodegradable polymer composites still rely heavily on empirical formulation and iterative testing, which are time-consuming and costly, and they [...] Read more.
The growing demand for lightweight, high-performance, and fire-safe polymer materials has accelerated research into advanced flame-retardant composites. Traditional experimental approaches to designing sustainable flame-retardant biodegradable polymer composites still rely heavily on empirical formulation and iterative testing, which are time-consuming and costly, and they often struggle to capture the coupled effects of chemical composition, processing conditions, and material performance. Recent advances in artificial intelligence (AI) provide opportunities to address these challenges by learning formulation–structure–performance relationships from curated datasets and by translating materials chemistry and flame-retardant mechanisms into data-ready descriptors and targets. This review summarizes recent progress of AI-assisted approaches to design sustainable flame-retardant biodegradable polymer composites, emphasizing machine learning, deep learning, and active learning methods for predicting and optimizing key fire performance metrics, including limiting oxygen index and heat release-related parameters. Biodegradable-specific limitations, including narrow processing window, thermal degradation, and moisture sensitivity, are discussed in the content of descriptor selection and constraint-aware optimization, together with the role of interpretable/explainable models in supporting experimentally actionable guidance. Current challenges such as limited data availability, protocol variability, model transferability, and interpretability are highlighted, and emerging solutions, including data harmonization, standardized fire testing, and physics-informed models are outlined. AI-assisted strategies are expected to play a central role in accelerating efficient, sustainable, halogen-free, and performance-driven development of next-generation flame-retardant biodegradable polymer composites. Full article
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