Topic Editors

Institut Mines-Télécom, IMT Nord Europe, Centre for Materials and Processes, Douai, France
Centre for Polymer and Material Technologies (CPMT), Department of Materials, Textiles and Chemical Engineering, Ghent University, Ghent, Belgium
Prof. Dr. Frederik Desplentere
Department of Materials Engineering, KU Leuven, Campus Bruges, Bruges, Belgium

Advanced Composites Manufacturing and Plastics Processing, 2nd Volume

Abstract submission deadline
1 June 2026
Manuscript submission deadline
1 September 2026
Viewed by
1636

Topic Information

Dear Colleagues,

Environmental and energy concerns and digitalization are currently having profound effects in reshaping the plastics and composites industry. Manufacturing processes and systems evolve accordingly in order to cost-effectively produce high-performance, high-quality, lightweight, and multifunctional parts with a reduced carbon footprint. All composites manufacturing and polymer processing technologies are concerned with this trend: liquid composite molding (e.g., resin transfer molding and resin infusion/vacuum infusion), automated lay-up (e.g., automated fiber placement and automated tape laying), filament winding, prepreg technology, pultrusion, autoclave, compression molding, film stacking, additive manufacturing/3D printing, injection molding, over-molding/back-molding, extrusion, blow molding, thermoforming, rotational molding, foaming, coating, preforming of textile reinforcement, joining/welding, and mold technologies (i.e., mold making and design).

Following the previous Topic (Advanced Composites Manufacturing and Plastics Processing), this new Topic welcomes original research articles, state-of-the-art reviews, and short communications on the latest advances in composites manufacturing and plastics processing. Suggested contributions may address new process developments, modeling/simulation, monitoring/control, and performance or application issues, with either experimental or numerical approaches. All types of polymers (thermoplastics, thermosets, and elastomers) and fibers/fillers (glass, carbon, ceramic, mineral, and vegetal) are eligible topics of focus, whether they come from recycled, bio-based, or fossil feedstocks. Multidisciplinarity is also encouraged to cover emerging topics such as smart manufacturing, artificial intelligence applied to manufacturing, data-driven simulations, and digital twins.

Prof. Dr. Patricia Krawczak
Prof. Dr. Ludwig Cardon
Prof. Dr. Frederik Desplentere
Topic Editors

Keywords

  • polymer processing
  • composites manufacturing
  • joining and welding
  • additive manufacturing
  • recycling
  • process optimization, modelling, and simulation
  • manufacturing technology
  • smart manufacturing
  • digitalization and Industry 4.0
  • thermoplastic polymers and elastomers, thermosetting resins, and plastics
  • composite materials
  • nanocomposites
  • fibers, fillers, and textile reinforcement

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Fibers
fibers
3.9 7.4 2013 23.3 Days CHF 2000 Submit
Journal of Composites Science
jcs
3.7 5.8 2017 16.2 Days CHF 1800 Submit
Journal of Manufacturing and Materials Processing
jmmp
3.3 5.2 2017 16.2 Days CHF 1800 Submit
Materials
materials
3.2 6.4 2008 15.2 Days CHF 2600 Submit
Polymers
polymers
4.9 9.7 2009 14 Days CHF 2700 Submit
Recycling
recycling
4.6 8.9 2016 20.9 Days CHF 1800 Submit

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Published Papers (2 papers)

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22 pages, 3491 KB  
Article
Evaluation of Bond Strength in Multi-Material Specimens Using a Consumer-Grade LCD 3D Printer
by Shunpei Shimizu, Masaya Inada, Tomoya Aoba, Haruka Tamagawa, Yuichiro Aoki, Masashi Sekine and Sumihisa Orita
J. Manuf. Mater. Process. 2025, 9(10), 332; https://doi.org/10.3390/jmmp9100332 - 11 Oct 2025
Viewed by 435
Abstract
Additive Manufacturing (AM) is currently widely used as a means of production and processing. Among the techniques, stereolithography 3D printers (3DP) are highly accurate and versatile, making them popular for personal use. While many personal 3D printers with multi-material printing capabilities have appeared [...] Read more.
Additive Manufacturing (AM) is currently widely used as a means of production and processing. Among the techniques, stereolithography 3D printers (3DP) are highly accurate and versatile, making them popular for personal use. While many personal 3D printers with multi-material printing capabilities have appeared on the market, stereolithography printers for personal use have yet to appear. Therefore, assuming the realization of a low-cost, versatile 3D printer with this functionality, we verified whether the resins currently available for personal use are suitable for this functionality by conducting printing, secondary curing, and tensile tests. The printing results showed that all test specimens were printed with an exposure time of 8 s or more. The tensile test results indicated that the test specimens produced by multi-material printing exhibited tensile strength comparable to that of single-material specimens (90% to 114% of the weak material standard). Additionally, it was confirmed that strength manipulation and post-processing are possible with multi-material printing using the same printing parameters. These findings demonstrate that multi-material printing using conventional commercially available resins is sufficiently practical in terms of strength. The use of existing resins and low-cost photopolymerization-based 3D printers contributes to the realization of low-cost yet high-precision AM technology. Full article
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19 pages, 1347 KB  
Article
Virtual Sensor for Injection Molding Monitoring
by Ronan Le Goff, Sabine Belle, Armelle Chenu, Nils Marchal, Antoine Delacourt, Franck Sellier and Matthieu Ponchant
J. Manuf. Mater. Process. 2025, 9(9), 311; https://doi.org/10.3390/jmmp9090311 - 9 Sep 2025
Viewed by 721
Abstract
Monitoring the complete injection molding process is becoming critical for manufacturing high-quality polymer products, as it enhances product quality and process efficiency. This study presents the development of a virtual sensor designed to monitor critical parameters of the injection molding process that cannot [...] Read more.
Monitoring the complete injection molding process is becoming critical for manufacturing high-quality polymer products, as it enhances product quality and process efficiency. This study presents the development of a virtual sensor designed to monitor critical parameters of the injection molding process that cannot be measured with existing sensors. The virtual sensor integrates both one-dimensional system simulations and data-driven models to accurately predict the behavior of the complete injection molding process, including the plasticizing steps. In our investigation, the virtual sensor was tested and demonstrated its ability in forecasting key process parameters, namely the injection pressure and the screw displacement. The sensor’s ability to provide real-time melt temperature or shear rate highlights its practical applicability and effectiveness in optimizing the injection molding process. Full article
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