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Editorial

Experimental Testing, Manufacturing and Numerical Modeling of Composite and Sandwich Structures

by
Raul Duarte Salgueiral Gomes Campilho
1,2
1
CIDEM, ISEP—School of Engineering, Polytechnic of Porto, R. Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal
2
INEGI—Institute of Science and Innovation in Mechanical and Industrial Engineering, Pólo FEUP, Rua Dr. Roberto Frias, 400, 4200-465 Porto, Portugal
Materials 2024, 17(14), 3468; https://doi.org/10.3390/ma17143468
Submission received: 29 June 2024 / Accepted: 10 July 2024 / Published: 13 July 2024
Composite materials have become indispensable in a multitude of industries, such as aerospace, automotive, construction, sports equipment, and electronics [1]. These materials are known for their exceptional strength-to-weight ratio, fatigue and corrosion resistance, and minimal thermal expansion. The ability to tailor composite materials to specific applications by varying the type, size, and orientation of the reinforcement material, as well as the type of matrix material used, increases their versatility and effectiveness [2]. However, issues such as high production costs, repair complexity, susceptibility to delamination and other damage types, and difficulties in characterization and modeling, are significant obstacles [3]. Currently, advanced manufacturing techniques, including additive and digital manufacturing, are being explored to reduce production costs and improve the precision and reliability of composite materials [4]. The development of nanocomposites aims to enhance strength, stiffness, thermal conductivity, and electrical conductivity, thereby broadening their application potential [5]. In parallel, sustainability demands triggered the creation of sustainable composites, which incorporate renewable or recycled materials to reduce environmental impact [6]. Multi-functional composites, integrating materials like shape memory alloys, piezoelectric materials, and carbon nanotubes, enable the creation of intelligent systems capable of self-monitoring, adaptive responses, and energy harvesting [7]. Bioinspired composites draw inspiration from natural materials, such as spider silk, seashells, and bone, striving to replicate their unique properties [8]. Numerical modeling has also seen substantial advancements, e.g., in simulating the complex behaviors of composite materials under various conditions [9].
Composite sandwich structures find application in industries such as aerospace, automotive, marine, and construction [10]. Their high strength-to-weight ratio, stiffness, and durability make them ideal for these demanding environments. Advanced materials, including fiber-reinforced polymers and metal matrix composites for face sheets, and innovative core materials, such as foams, honeycombs, and lattice structures, are being developed. Automated and robotic systems are employed to improve consistency, reduce labor costs, and enable the production of more complex geometries [11]. Advanced cores, such as 3D-printed lattice structures and bioinspired geometries, are being developed to improve impact resistance, energy absorption, and structural integrity [12]. Understanding the dynamic behavior of sandwich structures under impact, blast, and vibration is crucial [13].
Within the scope of this Special Issue, Wang et al. [14] explored the combined effects of high-current pulsed electron beam (HCPEB) treatment and CeO2 denaturant on enhancing the microstructure and properties of Al-20SiC composites produced by powder metallurgy. Grazing incidence X-ray diffraction (GIXRD) revealed a selective orientation of aluminum grains, particularly with Al(111) crystal faces, following HCPEB treatment.
Baimova and Shcherbinin [15] focused on three different morphologies of graphene aerogels with a honeycomb-like structure, examining their strength and deformation behavior through a molecular dynamics simulation. Their findings advanced the understanding of the microscopic deformation mechanisms in graphene aerogels.
Choi et al. [16] examined the influence of anisotropy and temperature on short carbon fiber-reinforced polyamide-6 (CF-PA6) produced via injection molding to determine its static and fatigue characteristics. The tensile strength and fatigue life of CF-PA6 varied with changes in temperature and anisotropy. A semi-empirical strain–stress fatigue life prediction model was positively validated.
A biaxial tensile test was conducted by Sanai et al. [17] to assess the fracture behavior of a unidirectional carbon fiber-reinforced plastic (CFRP) under load in the fiber (0°) and transverse (90°) directions. This study demonstrated that the occurrence of each fracture mode is solely characterized by a normal strain in the 90° direction (εy).
In the work of Li et al. [18], an interlayer nanocomposite (CC@rGO) featuring a graphene heterojunction with CoO and Co9S8 was synthesized using a hydrothermal calcination technique and evaluated as a cathode sulfur carrier for lithium–sulfur batteries. The CC@rGO sulfur cathode exhibited excellent electrochemical performance, rate capability, and cycling stability across various current densities.
Ntaflos et al. [19] produced graphene nanoplatelet (GNP)-enhanced glass fiber-reinforced plastics (GFRP) produced by filament winding. The performance of these materials was tested under harsh environmental conditions. Results showed that GNPs improved the in-plane shear strength of GFRP by 200% and reduced water uptake by up to 40%.
Ciecieląg [20] investigated the milling of CFRP and GFRP saturated with epoxy resin using various tools (polycrystalline diamond inserts, physically coated carbide inserts with titanium nitride, and uncoated carbide inserts). Milling thin-walled CFRP with uncoated tools at high feeds per revolution and high cutting speeds resulted in the highest forces.
Knápek et al. [21] investigated how the clearance angle of milling tools affects wear, cutting forces, machined edge roughness, and delamination during the milling of CFRP panels with a twill weave and a 90° fiber orientation. The clearance angle significantly impacted tool wear, surface roughness, and the delamination of the CFRP panel. Higher tool wear led to higher cutting forces, which increased surface roughness and delamination.
Matula and Tomiczek [22] discussed the integration of surface engineering and powder metallurgy to develop coatings with enhanced corrosion resistance and wear properties. Tensile tests indicated that both steel types exhibited higher strength after sintering in a nitrogen-rich atmosphere.
Yelemessov et al. [23] experimentally and analytically explored the potential application of polymer concrete composites in building structures through a strength analysis. The rubber concrete beam deformation at failure exceeded that of cement concrete by 2.5 to 6.5 times and by 3.0 to 7.5 times with a fiber reinforcement.
Bhagatji et al. [24] addressed the fabrication, experimental testing, and progressive failure modeling of an ultra-thin composite beam. The continuum damage mechanics (CDM) model for the beam, calibrated through experimental coupon testing, was utilized in finite element explicit analysis. The finite element model accurately predicted localized transverse fiber damage under eccentric buckling.
Kwon et al. [25] investigated specimens made from a variety of materials with different geometric features to predict failure loads using a newly proposed criterion that incorporates both stress and stress gradient conditions. The types of notches examined included cracks and holes. There was a good agreement between experimental data and theoretical predictions across all cases.
The work of Ferreira et al. [26] introduced an efficient method to study the low-velocity impact response of woven composite shells using 3D finite element models that incorporate both intralaminar and interlaminar progressive damage mechanisms. The numerical predictions closely matched experimental data regarding load and energy histories, maximum impact load, displacement, and contact time.
Kraisornkachit et al. [27] investigated adhesive joint strength and elastic modulus, critical for adhesive performance. The experiments employed a bisphenol A-based epoxy resin with a polypropylene glycol curing agent, generating initial data from 32 conditions used to train a machine learning model. Bayesian optimization identified conditions surpassing this boundary, achieving an adhesive joint strength of 25.2 MPa and an elastic modulus of 182.5 MPa.
Takamura et al. [28] performed a numerical analysis on single-lap shear joints between carbon fiber-reinforced thermoplastics (CFRTPs) to estimate the local stress state at the point of failure initiation, revealing the true bonding strength. Results indicated that the single-lap shear test underestimates the apparent bonding strength by less than 14% of the true bonding strength.
Khademi et al. [29] studied a material system comprising unidirectional carbon fiber composite face sheets with a honeycomb core, investigating various defects at this critical interface. The work introduced high-frequency ultrasound testing (UT) to detect and quantify the geometry and type of defects. The results indicated successful defect detection.
Wang et al. [30] enhanced sound insulation in composite structures through strategic material arrangement. Initially, a predictive model for sound insulation in sandwich composite plates was developed and validated. Optimization strategies for sound insulation in high-speed train composite floors were explored. Implementing this approach in high-speed train body design improved sound insulation by 1–3 dB in the 125–315 Hz band.
The study of Grzybek [31] involved experimental analysis of the control systems for piezoelectric actuators based on composite and aluminum materials, specifically examining unimorph and bimorph structures. Two piezoelectric actuators were manufactured with a cantilever sandwich beam configuration: one with a glass-reinforced epoxy composite (FR4) carrier layer and another with 1050 aluminum. The study also proposed a modification to the linear quadratic regulator (LQR) control algorithm.
Barbinta-Patrascu et al. [32] explored a sustainable approach using weeds to produce silver nanoparticles (AgNPs) with diverse potential applications. Two different types of AgNPs were generated by varying the ratio of phytoextract to silver salt solution. The resulting green composite materials were characterized and showed significant potential for designing innovative bioactive materials suitable for biomedical applications.
Grząbka-Zasadzińska et al. [33] investigated the potential of using caffeine-treated and untreated black cherry (Prunus serotina Ehrh.) wood as a filler in polylactide composites. The study highlighted the novel application of caffeine as a natural compound to modify wood, thereby altering the supermolecular structure and nucleating abilities of polylactide/wood composites.
Taking into account all of the collected contributions, the future of research in experimental testing, manufacturing, and numerical modeling of composite and sandwich structures is expected to advance towards more integrated, multi-functional, and sustainable solutions that address diverse industry needs through innovations in material science and engineering. The identified hot topics are:
  • Multi-Material and Hybrid Structures: Combining different materials (composites with metals, ceramics, and polymers) to achieve superior performance in, for example, enhanced mechanical properties, tailored thermal and electrical conductivity, and improved damage tolerance [34].
  • Advanced Manufacturing Techniques: Additive manufacturing (3D printing), automated layup methods (such as automated fiber placement and tape laying), and innovative curing techniques to enhance production efficiency and reduce costs [35].
  • Durability and Environmental Resistance: Developing coatings, surface treatments, and materials that resist degradation from environmental factors (ultraviolet or UV exposure, moisture, and chemicals) and promote an extended service life [36].
  • Damage Detection and Structural Health Monitoring: Integrating embedded sensors, data analytics, and machine learning algorithms to enable real-time monitoring and predictive maintenance of composite structures [37].
  • Simulation and Modeling: Developing multi-scale models that capture the complex behavior of composites, from microstructure to macroscopic performance, and validating these models with experimental data [38].
  • Functional and Smart Materials: Integration of functional materials (such as shape memory alloys, piezoelectric materials, and sensors) into sandwich structures to exhibit adaptive, self-healing, or sensing capabilities [39].
  • Sustainability and Recycling: Developing eco-friendly manufacturing processes, bio-based resins, and recyclable composite and sandwich structures. Improving recycling methods to recover and reuse materials effectively [40].

Conflicts of Interest

The author declares no conflicts of interest.

References

  1. Ozturk, F.; Cobanoglu, M.; Ece, R.E. Recent advancements in thermoplastic composite materials in aerospace industry. J. Thermoplast. Compos. Mater. 2023. [Google Scholar] [CrossRef]
  2. Rajak, D.K.; Pagar, D.D.; Kumar, R.; Pruncu, C.I. Recent progress of reinforcement materials: A comprehensive overview of composite materials. J. Mater. Res. Technol. 2019, 8, 6354–6374. [Google Scholar] [CrossRef]
  3. Pervaiz, S.; Qureshi, T.A.; Kashwani, G.; Kannan, S. 3D printing of fiber-reinforced plastic composites using fused deposition modeling: A status review. Materials 2021, 14, 4520. [Google Scholar] [CrossRef] [PubMed]
  4. Bi, X.; Huang, R. 3D printing of natural fiber and composites: A state-of-the-art review. Mater. Des. 2022, 222, 111065. [Google Scholar] [CrossRef]
  5. Hassan, T.; Salam, A.; Khan, A.; Khan, S.U.; Khanzada, H.; Wasim, M.; Khan, M.Q.; Kim, I.S. Functional nanocomposites and their potential applications: A review. J. Polym. Res. 2021, 28, 36. [Google Scholar] [CrossRef]
  6. Maiti, S.; Islam, M.R.; Uddin, M.A.; Afroj, S.; Eichhorn, S.J.; Karim, N. Sustainable fiber-reinforced composites: A Review. Adv. Sustain. Syst. 2022, 6, 2200258. [Google Scholar] [CrossRef]
  7. Guan, X.; Chen, H.; Xia, H.; Fu, Y.; Qiu, Y.; Ni, Q.-Q. Multifunctional composite nanofibers with shape memory and piezoelectric properties for energy harvesting. J. Intel. Mat. Syst. Str. 2020, 31, 956–966. [Google Scholar] [CrossRef]
  8. Sonia, P.; Srinivas, R.; Kansal, L.; Abdul-Zahra, D.S.; Reddy, U.; Kumari, V. Bioinspired Composites a Review: Lessons from Nature for Materials Design and Performance. In Proceedings of the E3S Web of Conferences, Ordos, China, 22–23 June 2024; p. 01024. [Google Scholar]
  9. Ghatage, P.S.; Kar, V.R.; Sudhagar, P.E. On the numerical modelling and analysis of multi-directional functionally graded composite structures: A review. Compos. Struct. 2020, 236, 111837. [Google Scholar] [CrossRef]
  10. Ma, W.; Elkin, R. Sandwich Structural Composites: Theory and Practice; CRC Press: Boca Raton, FL, USA, 2022. [Google Scholar]
  11. Al-Khazraji, M.S.; Bakhy, S.; Jweeg, M. Composite sandwich structures: Review of manufacturing techniques. J. Eng. Des. Technol. 2023. [Google Scholar] [CrossRef]
  12. Peng, C.; Fox, K.; Qian, M.; Nguyen-Xuan, H.; Tran, P. 3D printed sandwich beams with bioinspired cores: Mechanical performance and modelling. Thin-Walled Struct. 2021, 161, 107471. [Google Scholar] [CrossRef]
  13. Essassi, K.; Rebiere, J.-L.; Mahi, A.E.; Souf, M.A.B.; Bouguecha, A.; Haddar, M. Experimental and numerical analysis of the dynamic behavior of a bio-based sandwich with an auxetic core. J. Sandw. Struct. Mater. 2021, 23, 1058–1077. [Google Scholar] [CrossRef]
  14. Wang, L.; Gao, B.; Sun, Y.; Zhang, Y.; Hu, L. Effect of High Current Pulsed Electron Beam (HCPEB) on the Organization and Wear Resistance of CeO2-Modified Al-20SiC Composites. Materials 2023, 16, 4656. [Google Scholar] [CrossRef]
  15. Baimova, J.A.; Shcherbinin, S.A. Strength and Deformation Behavior of Graphene Aerogel of Different Morphologies. Materials 2023, 16, 7388. [Google Scholar] [CrossRef] [PubMed]
  16. Choi, J.; Andrian, Y.O.; Lee, H.; Lee, H.; Kim, N. Fatigue Life Prediction for Injection-Molded Carbon Fiber-Reinforced Polyamide-6 Considering Anisotropy and Temperature Effects. Materials 2024, 17, 315. [Google Scholar] [CrossRef]
  17. Sanai, K.; Nakasaki, S.; Hashimoto, M.; Macadre, A.; Goda, K. Fracture Behavior of a Unidirectional Carbon Fiber-Reinforced Plastic under Biaxial Tensile Loads. Materials 2024, 17, 1387. [Google Scholar] [CrossRef]
  18. Li, J.; Gao, B.; Shi, Z.; Chen, J.; Fu, H.; Liu, Z. Graphene/Heterojunction Composite Prepared by Carbon Thermal Reduction as a Sulfur Host for Lithium-Sulfur Batteries. Materials 2023, 16, 4956. [Google Scholar] [CrossRef]
  19. Ntaflos, A.; Foteinidis, G.; Liangou, T.; Bilalis, E.; Anyfantis, K.; Tsouvalis, N.; Tyriakidi, T.; Tyriakidis, K.; Tyriakidis, N.; Paipetis, A.S. Enhancing Epoxy Composite Performance with Carbon Nanofillers: A Solution for Moisture Resistance and Extended Durability in Wind Turbine Blade Structures. Materials 2024, 17, 524. [Google Scholar] [CrossRef] [PubMed]
  20. Ciecieląg, K. Machinability Measurements in Milling and Recurrence Analysis of Thin-Walled Elements Made of Polymer Composites. Materials 2023, 16, 4825. [Google Scholar] [CrossRef]
  21. Knápek, T.; Dvořáčková, Š.; Váňa, M. The Effect of Clearance Angle on Tool Life, Cutting Forces, Surface Roughness, and Delamination during Carbon-Fiber-Reinforced Plastic Milling. Materials 2023, 16, 5002. [Google Scholar] [CrossRef]
  22. Matula, G.; Tomiczek, B. Manufacturing of Corrosion-Resistant Surface Layers by Coating Non-Alloy Steels with a Polymer-Powder Slurry and Sintering. Materials 2023, 16, 5210. [Google Scholar] [CrossRef]
  23. Yelemessov, K.; Sabirova, L.B.; Martyushev, N.V.; Malozyomov, B.V.; Bakhmagambetova, G.B.; Atanova, O.V. Modeling and Model Verification of the Stress-Strain State of Reinforced Polymer Concrete. Materials 2023, 16, 3494. [Google Scholar] [CrossRef]
  24. Bhagatji, J.D.; Kravchenko, O.G.; Asundi, S. Mechanics of Pure Bending and Eccentric Buckling in High-Strain Composite Structures. Materials 2024, 17, 796. [Google Scholar] [CrossRef] [PubMed]
  25. Kwon, Y.W.; Markoff, E.K.; DeFisher, S. Unified Failure Criterion Based on Stress and Stress Gradient Conditions. Materials 2024, 17, 569. [Google Scholar] [CrossRef]
  26. Ferreira, L.M.; Coelho, C.A.C.P.; Reis, P.N.B. Numerical Simulations of the Low-Velocity Impact Response of Semicylindrical Woven Composite Shells. Materials 2023, 16, 3442. [Google Scholar] [CrossRef] [PubMed]
  27. Kraisornkachit, P.; Naito, M.; Kang, C.; Sato, C. Multi-Objective Optimization of Adhesive Joint Strength and Elastic Modulus of Adhesive Epoxy with Active Learning. Materials 2024, 17, 2866. [Google Scholar] [CrossRef]
  28. Takamura, M.; Isozaki, M.; Takeda, S.; Oya, Y.; Koyanagi, J. Evaluation of True Bonding Strength for Adhesive Bonded Carbon Fiber-Reinforced Plastics. Materials 2024, 17, 394. [Google Scholar] [CrossRef]
  29. Khademi, M.; Pulipati, D.P.; Jack, D.A. Nondestructive Inspection and Quantification of Select Interface Defects in Honeycomb Sandwich Panels. Materials 2024, 17, 2772. [Google Scholar] [CrossRef] [PubMed]
  30. Wang, R.; Yao, D.; Zhang, J.; Xiao, X.; Jin, X. Effect of the Laying Order of Core Layer Materials on the Sound-Insulation Performance of High-Speed Train Carbody. Materials 2023, 16, 3862. [Google Scholar] [CrossRef]
  31. Grzybek, D. Experimental Analysis of the Influence of Carrier Layer Material on the Performance of the Control System of a Cantilever-Type Piezoelectric Actuator. Materials 2024, 17, 96. [Google Scholar] [CrossRef]
  32. Barbinta-Patrascu, M.-E.; Nichita, C.; Bita, B.; Antohe, S. Biocomposite Materials Derived from Andropogon halepensis: Eco-Design and Biophysical Evaluation. Materials 2024, 17, 1225. [Google Scholar] [CrossRef]
  33. Grząbka-Zasadzińska, A.; Woźniak, M.; Kaszubowska-Rzepka, A.; Baranowska, M.; Sip, A.; Ratajczak, I.; Borysiak, S. Enhancing Sustainability and Antifungal Properties of Biodegradable Composites: Caffeine-Treated Wood as a Filler for Polylactide. Materials 2024, 17, 698. [Google Scholar] [CrossRef] [PubMed]
  34. Ding, Z.; Zou, Z.; Zhang, L.; Li, X.; Zhang, Y. Multi-scale topological design of asymmetric porous sandwich structures with unidentical face sheets and composite core. Comput. Methods Appl. Mech. Eng. 2024, 422, 116839. [Google Scholar] [CrossRef]
  35. Parveez, B. Rapid prototyping of core materials in aircraft sandwich structures. In Modern Manufacturing Processes for Aircraft Materials; Elsevier: Amsterdam, The Netherlands, 2024; pp. 63–87. [Google Scholar]
  36. Duarte, C.; de Queiroz, H.; Neto, J.; Cavalcanti, D.; Banea, M. Evaluation of durability of 3D-printed multi-material parts for potential applications in structures exposed to marine environments. Procedia Struct. Integr. 2024, 53, 299–308. [Google Scholar] [CrossRef]
  37. Khanahmadi, M.; Mirzaei, B.; Amiri, G.G.; Gholhaki, M.; Rezaifar, O. Vibration-based damage localization in 3D sandwich panels using an irregularity detection index (IDI) based on signal processing. Measurement 2024, 224, 113902. [Google Scholar] [CrossRef]
  38. Kheyabani, A.; Ali, H.Q.; Kefal, A.; Yildiz, M. Coupling of isogeometric higher-order RZT and parametric HFGMC frameworks for multiscale modeling of sandwich laminates: Theory and experimental validation. Aerosp. Sci. Technol. 2024, 146, 108944. [Google Scholar] [CrossRef]
  39. Ghalayaniesfahani, A.; Oostenbrink, B.; van Kasteren, H.; Gibson, I.; Mehrpouya, M. 4D Printing of Biobased Shape Memory Sandwich Structures. Polymer 2024, 307, 127252. [Google Scholar] [CrossRef]
  40. Lv, Q.; Zhu, X.; Zhou, T.; Tian, L.; Liu, Y.; Wang, Y.; Zhang, C. Multifunctional and recyclable aerogel/fiber building insulation composites with sandwich structure. Constr. Build. Mater. 2024, 423, 135902. [Google Scholar] [CrossRef]
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Campilho, R.D.S.G. Experimental Testing, Manufacturing and Numerical Modeling of Composite and Sandwich Structures. Materials 2024, 17, 3468. https://doi.org/10.3390/ma17143468

AMA Style

Campilho RDSG. Experimental Testing, Manufacturing and Numerical Modeling of Composite and Sandwich Structures. Materials. 2024; 17(14):3468. https://doi.org/10.3390/ma17143468

Chicago/Turabian Style

Campilho, Raul Duarte Salgueiral Gomes. 2024. "Experimental Testing, Manufacturing and Numerical Modeling of Composite and Sandwich Structures" Materials 17, no. 14: 3468. https://doi.org/10.3390/ma17143468

APA Style

Campilho, R. D. S. G. (2024). Experimental Testing, Manufacturing and Numerical Modeling of Composite and Sandwich Structures. Materials, 17(14), 3468. https://doi.org/10.3390/ma17143468

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