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High-Performance Polymer Composites: Multiscale Design, Additive Manufacturing, Testing, Applications

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Polymeric Materials".

Deadline for manuscript submissions: closed (10 January 2023) | Viewed by 3155

Special Issue Editor


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Guest Editor
Laboratory of Mechanics of Polymer Composite Materials, Institute of Strength Physics and Materials Science SB RAS, 634055 Tomsk, Russia
Interests: high performance polymers; multiscale design; polymer composites; wear resistance; interphase/interface; fatigue; polymer laminates; adhesion; computer aided design
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Special Issue Information

Dear Colleagues,

High-performance polymers (HPP) have opened up a new era in the design of advanced composites. They have made it possible to employ polymer composite materials (PCM) in a variety of industrial applications where mostly metal alloys were previously adopted. The development of new types of high-temperature matrices enables us to widen the range of commercially available composites and their acceptable operating conditions. However, their complex macromolecular structure, weak adhesion to fillers, complexity of processing, etc., significantly limit the range of available HPP-based composites as well as the conditions of their use.

The design of HPP-based composites is a multiscale and interdisciplinary area of research. I) The construction of HPP matrices is a complex chemical problem aimed at providing specified functional and technological properties to the material, including stability under various conditions. II) Achieving the required level of interfacial adhesion is a problem of the compatibility of the composites’ components, which might be solved in various ways. III) The aspect of forming a homogeneous structure of particulate-filled or layered (laminates) PCM is responsible for their physical and mechanical properties. IV) Additive manufacturing is a new promising R&D area aimed at fabricating products with complex shapes and internal architectonics.

Computer-aided design is a remote method of solving the above problems. In using this technology, the following issues are to be taken into account: i) the multiscale structure of composites; ii) the mutual impact of deformation processes at different scale levels; iii) the use of deformation behavior models that are verified by adequate experiments; iv) relevant recommendations are to be developed for manufacturing technologies. The use of machine learning methods would also reduce the amount of required experiments and increase the predictive power of the models.

We cordially invite researchers from various fields of knowledge to contribute their work and hope to jointly prepare a valuable collection of articles of both of fundamental and applied relevance.

Dr. Sergey Panin
Guest Editor

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Keywords

  • high performance polymers
  • multiscale design
  • additive manufacturing
  • polymer composites
  • wear
  • macromolecular design, fatigue
  • fibre reinforced polymer laminates
  • adhesion
  • computer aided design

Published Papers (3 papers)

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Research

20 pages, 7285 KiB  
Article
Surface Modification of Carbon Fibers by Low-Temperature Plasma with Runaway Electrons for Manufacturing PEEK-Based Laminates
by Pavel V. Kosmachev, Sergey V. Panin, Iliya L. Panov and Svetlana A. Bochkareva
Materials 2022, 15(21), 7625; https://doi.org/10.3390/ma15217625 - 30 Oct 2022
Cited by 7 | Viewed by 1236
Abstract
(1) Background: The paper addresses the effect of carbon fibers (CFs) treatment by low-temperature plasma with runaway electrons on the deformation behavior of the polyetheretherketone (PEEK)-layered composites. (2) Methods: The effect of the interlayer adhesion on the mechanical response of the composites was [...] Read more.
(1) Background: The paper addresses the effect of carbon fibers (CFs) treatment by low-temperature plasma with runaway electrons on the deformation behavior of the polyetheretherketone (PEEK)-layered composites. (2) Methods: The effect of the interlayer adhesion on the mechanical response of the composites was assessed through the tensile and three-point bending tests. In addition, computer simulations of the three-point bending were carried out with the use of the finite element analysis (FEM) with varying conditions at the “PEEK–CF layers” interface. (3) Results: DRE–plasma treatment during the optimal time of t = 15 min led to formation of a rougher surface and partial desizing of a finishing agent. The shear strength of the layered composites increased by 54%, while the tensile strength and the flexural modulus (at three-point bending) increased by 16% (up to 893 MPa) and by 10% (up to 93 GPa), respectively. (4) Conclusions: The results of the numerical experiments showed that the increase in the stiffness, on the one hand, gave rise to enlarging the flexural modulus; on the other hand, a nonlinear decrease in the strength may occur. For this reason, the intention to maximize the level of the interlayer stiffness can result in lowering the fracture toughness, for example, at manufacturing high-strength composites. Full article
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20 pages, 3541 KiB  
Article
Optimizing Ultrasonic Welding Parameters for Multilayer Lap Joints of PEEK and Carbon Fibers by Neural Network Simulation
by Sergey V. Panin, Dmitry Yu. Stepanov and Anton V. Byakov
Materials 2022, 15(19), 6939; https://doi.org/10.3390/ma15196939 - 06 Oct 2022
Cited by 5 | Viewed by 1319
Abstract
The aim of this study is to substantiate the use machine learning methods to optimize a combination of ultrasonic welding (USW) parameters for manufacturing of multilayer lap joints consisting of two outer PEEK layers, a middle prepreg of unidirectional carbon fibers (CFs), and [...] Read more.
The aim of this study is to substantiate the use machine learning methods to optimize a combination of ultrasonic welding (USW) parameters for manufacturing of multilayer lap joints consisting of two outer PEEK layers, a middle prepreg of unidirectional carbon fibers (CFs), and two energy directors (EDs) between them. As a result, a mathematical problem associated with determining the optimal combination of technological parameters was formulated for the formation of USW joints possessing improved functional properties. In addition, a methodology was proposed to analyze the mechanical properties of USW joints based on neural network simulation (NNS). Experiments were performed, and threshold values of the optimality conditions for the USW parameters were chosen. Accordingly, NNS was carried out to determine the parameter ranges, showing that the developed optimality condition was insufficient and required correction, taking into account other significant structural characteristics of the formed USW joints. The NNS study enabled specification of an extra area of USW parameters that were not previously considered optimal when designing the experiment. The NNS-predicted USW mode (P = 1.5 atm, t = 800 ms, and τ = 1500 ms) ensured formation of a lap joint with the required mechanical and structural properties (σUTS = 80.5 MPa, ε = 4.2 mm, A = 273 N·m, and Δh = 0.30 mm). Full article
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17 pages, 9223 KiB  
Article
Estimating Low- and High-Cyclic Fatigue of Polyimide-CF-PTFE Composite through Variation of Mechanical Hysteresis Loops
by Sergey V. Panin, Alexey A. Bogdanov, Alexander V. Eremin, Dmitry G. Buslovich and Vladislav O. Alexenko
Materials 2022, 15(13), 4656; https://doi.org/10.3390/ma15134656 - 02 Jul 2022
Cited by 11 | Viewed by 1812
Abstract
The fatigue properties of neat polyimide and the “polyimide + 10 wt.% milled carbon fibers + 10 wt.% polytetrafluoroethylene” composite were investigated under various cyclic loading conditions. In contrast to most of the reported studies, constructing of hysteresis loops was performed through the [...] Read more.
The fatigue properties of neat polyimide and the “polyimide + 10 wt.% milled carbon fibers + 10 wt.% polytetrafluoroethylene” composite were investigated under various cyclic loading conditions. In contrast to most of the reported studies, constructing of hysteresis loops was performed through the strain assessment using the non-contact 2D Digital Image Correlation method. The accumulation of cyclic damage was analyzed by calculating parameters of mechanical hysteresis loops. They were: (i) the energy losses (hysteresis loop area), (ii) the dynamic modulus (proportional to the compliance/stiffness of the material) and (iii) the damping capacity (calculated through the dissipated and total mechanical energies). On average, the reduction in energy losses reached 10–18% at the onset of fracture, whereas the modulus variation did not exceed 2.5% of the nominal value. The energy losses decreased from 20 down to 18 J/m3 (10%) for the composite, whereas they reduced from 30 down to 25 J/m3 (17%) for neat PI in the low-cycle fatigue mode. For high-cycle fatigue, energy losses decreased from 10 to 9 J/m3 (10%) and from 17 to 14 J/m3 (18%) for neat PI and composite, respectively. For this reason, the changes of the energy losses due to hysteresis are of prospects for the characterization of both neat PI and the reinforced PI-based composites. Full article
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