Next Article in Journal
Control Strategies for Piston Trajectory in Ionic Compressors for Hydrogen Storage
Next Article in Special Issue
Mask R-CNN-Based Stone Detection and Segmentation for Underground Pipeline Exploration Robots
Previous Article in Journal
Design and Implementation of a Semantic Information Expression Device Based on Vibrotactile Coding
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Special Issue: Numerical Simulation and Thermo-Mechanical Investigation of Composite Structures

Department of Mechanical Engineering, Inha University, Incheon 22212, Republic of Korea
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(21), 11757; https://doi.org/10.3390/app132111757
Submission received: 9 October 2023 / Accepted: 12 October 2023 / Published: 27 October 2023
Material behavior is the key aspect of composite research [1]. The important attributes that demand current research are understanding material behavior, predictive modeling, performance enhancement, and safety and reliability [2,3]. Temperature and mechanical loads are dangerous in combination and cause failure [4]. Research on this topic needs to explore mechanical and thermal behavior to understand how composite materials behave under thermal and mechanical loads, mainly including the combined effect of temperature on mechanical properties. However, experimental work gives accurate predictions based on the data, but it is costly and time-consuming [5,6]. Modeling and simulation work can be developed that are reliable and comparable to experimental results [7,8]. However, they need to be validated to rely on the developed models so that they can be used to identify the failure and design stage. This leads to performance enhancement and involves identifying design modifications for new materials. The goal is to understand modeling and simulation for reliability and safety to designthe material behavior under working conditions.
This is significant to improve the performance of composite structures in various industries, including aerospace, automotive, civil engineering, etc. [9]. By optimizing material usage and improving performance, research works can reduce the environmental impact of composite material manufacturing. Understanding how composite materials behave under different thermal and mechanical conditions is crucial for ensuring structures' safety and long-term durability. The related investigations need to explore the development of advanced materials with tailored thermo-mechanical properties, expanding the possibilities for engineering applications [10,11]. By enhancing material selection and design, studies have the potential to lead to more cost-effective manufacturing processes and product ornamental competitiveness in various industries.
Furthermore, understanding composite materials’ behavior under varying temperatures is crucial for ensuring the safety and reliability of critical components [12,13,14]. Optimizing composite structures for thermal performance can lead to more energy-efficient systems, such as designing high-performance aircraft or renewable energy components.
The relevant research areas include material characterization, numerical simulation, failure analysis, design optimization, manufacturing processes, safety and reliability assessment, heat transfer, multiphase coupling, experimental validations, and many more. Material characterizations investigate composite materials’ thermal and mechanical properties [15,16]. This includes understanding how different materials and manufacturing processes affect these properties. Numerical simulations develop and refine numerical models using techniques like finite element analysis (FEA) to simulate the behavior of composite structures under thermo-mechanical loads [17,18,19]. These mainly examine the distribution of stresses and strains within composite materials under different loading conditions. Failure analyses study the failure modes of composite structures under thermal mechanical stress. This includes delamination, buckling, fiber breakage, thermal cracking, etc., and developing strategies for preventing or mitigating them [20,21,22,23]. Design optimizations use simulation results to optimize the design of composite structures to withstand thermal and mechanical stresses, while minimizing weight and cost [24,25,26]. Manufacturing processes investigate how manufacturing processes, such as curing temperatures and pressures, affect the final properties of composite materials and structures [27,28,29]. Real-world applications apply research findings to real-world applications, such as aircraft components, automotive parts, and renewable energy systems [30,31,32,33]. Safety and reliability assessments develop methods for assessing the safety and reliability of composite structures, particularly in extreme temperature environments [34,35,36]. Heat transfer analyses explore how heat is distributed within composite structures, considering factors like conduction, convection, and radiation [37,38,39,40]. Multi-physics couplings show the interactions between thermal, mechanical, and other physical phenomena that influence the behavior of composite structures [41,42]. Also, experimental validations can be conducted to validate numerical simulations and ensure their accuracy in predicting real-world behavior. These summarized research areas may be covered in the works included in this Special Issue [43,44,45,46]. The goal, significance, and research area of these studies show the importance of thermal-mechanical simulation work.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Boisse, P.; Borr, M.; Buet, K.; Cherouat, A. Finite element simulations of textile composite forming including the biaxial fabric behaviour. Compos. Part B Eng. 1997, 28, 453–464. [Google Scholar] [CrossRef]
  2. Wang, J.; Rao, H.G.; Liang, R.; Liu, W. Durability and prediction models of fiber-reinforced polymer composites under various environmental conditions: A critical review. J. Reinf. Plast. Compos. 2016, 35, 179–211. [Google Scholar] [CrossRef]
  3. Graziano, F.; Tortora, C.; Vespini, V.; Rippa, M.; Dentico, V.; Leone, F.; Gallo, N.; Stella, E.; Russo, P.; Ferraro, P.; et al. Non-destructive techniques for quality control of composite materials. In Proceedings of the 2023 IEEE 10th International Workshop on Metrology for AeroSpace (MetroAeroSpace), Milano, Italy, 19–21 June 2023; pp. 529–533. [Google Scholar] [CrossRef]
  4. Zhu, Y.-T.; Xiong, J.-J. Temperature-Moisture-Mechanical coupling fatigue behaviours of screwed Composite-Steel joints. Int. J. Fatigue 2023, 173, 107700. [Google Scholar] [CrossRef]
  5. Miers, C.S.; Marconnet, A. Experimental Investigation of Composite Phase Change Material Heat Sinks for Enhanced Passive Thermal Management. J. Heat Transf. 2020, 143, 013001. [Google Scholar] [CrossRef]
  6. Wang, P.; Ke, L.; Wu, H.; Leung, C.K.Y. Hygrothermal aging effect on the water diffusion in glass fiber reinforced polymer (GFRP) composite: Experimental study and numerical simulation. Compos. Sci. Technol. 2022, 230, 109762. [Google Scholar] [CrossRef]
  7. Hossain, M.; Liao, Z. An additively manufactured silicone polymer: Thermo-viscoelastic experimental study and computational modelling. Addit. Manuf. 2020, 35, 101395. [Google Scholar] [CrossRef]
  8. Sakkaki, M.; Moghanlou, F.S.; Vajdi, M.; Asl, M.S.; Mohammadi, M.; Shokouhimehr, M. Numerical simulation of heat transfer during spark plasma sintering of zirconium diboride. Ceram. Int. 2020, 46, 4998–5007. [Google Scholar] [CrossRef]
  9. Patel, R.V.; Yadav, A.; Winczek, J. Physical, Mechanical, and Thermal Properties of Natural Fiber-Reinforced Epoxy Composites for Construction and Automotive Applications. Appl. Sci. 2023, 13, 5126. [Google Scholar] [CrossRef]
  10. Sarvestani, H.Y.; Akbarzadeh, A.H.; Therriault, D.; Lévesque, M. Engineered bi-material lattices with thermo-mechanical programmability. Compos. Struct. 2021, 263, 113705. [Google Scholar] [CrossRef]
  11. Brighenti, R.; Tatar, F. Thermo-mechanical performance of two-dimensional porous metamaterial plates. Int. J. Mech. Sci. 2023, 238, 107854. [Google Scholar] [CrossRef]
  12. De Leon, A.; Sweat, R.D. Interfacial Engineering of CFRP Composites and Temperature Effects: A Review. Mech. Compos. Mater. 2023, 59, 419–440. [Google Scholar] [CrossRef]
  13. Ilie, F.; Cristescu, A.C. Tribological Behavior of Friction Materials of a Disk-Brake Pad Braking System affected by Structural Changes—A Review. Materials 2022, 15, 4745. [Google Scholar] [CrossRef]
  14. Nachtane, M.; Tarfaoui, M.; Abichou, M.A.; Vetcher, A.; Rouway, M.; Aâmir, A.; Mouadili, H.; Laaouidi, H.; Naanani, H. An Overview of the Recent Advances in Composite Materials and Artificial Intelligence for Hydrogen Storage Vessels Design. J. Compos. Sci. 2023, 7, 119. [Google Scholar] [CrossRef]
  15. Gencel, O.; Hekimoglu, G.; Sarı, A.; Ustaoglu, A.; Subasi, S.; Marasli, M.; Erdogmus, E.; Memon, S.A. Glass fiber reinforced gypsum composites with microencapsulated PCM as novel building thermal energy storage material. Constr. Build. Mater. 2022, 340, 127788. [Google Scholar] [CrossRef]
  16. Dubey, U.; Kesarwani, S.; Verma, R.K. Incorporation of graphene nanoplatelets/hydroxyapatite in PMMA bone cement for characterization and enhanced mechanical properties of biopolymer composites. J. Thermoplast. Compos. Mater. 2023, 36, 1978–2008. [Google Scholar] [CrossRef]
  17. Hynes, N.R.J.; Vignesh, N.J.; Jappes, J.T.W.; Velu, P.S.; Barile, C.; Ali, M.A.; Farooq, M.U.; Pruncu, C.I. Effect of stacking sequence of fibre metal laminates with carbon fibre reinforced composites on mechanical attributes: Numerical simulations and experimental validation. Compos. Sci. Technol. 2022, 221, 109303. [Google Scholar] [CrossRef]
  18. Hou, Y.; Wang, W.; Meng, L.; Sapanathan, T.; Li, J.; Xu, Y. An insight into the mechanical behavior of adhesively bonded plain-woven-composite joints using multiscale modeling. Int. J. Mech. Sci. 2022, 219, 107063. [Google Scholar] [CrossRef]
  19. Guo, F.-L.; Zhou, Z.-L.; Wu, T.; Hu, J.-M.; Li, Y.-Q.; Huang, P.; Hu, N.; Fu, S.-Y.; Hong, Y. Experimental and multiscale modeling investigations of cryo-thermal cycling effects on the mechanical behaviors of carbon fiber reinforced epoxy composites. Compos. Part B Eng. 2022, 230, 109534. [Google Scholar] [CrossRef]
  20. Zhou, W.; Wang, J.; Pan, Z.; Liu, J.; Ma, L.; Zhou, J.; Su, Y.-F. Review on optimization design, failure analysis and non-destructive testing of composite hydrogen storage vessel. Int. J. Hydrog. Energy 2022, 47, 38862–38883. [Google Scholar] [CrossRef]
  21. Shahmohammadi, M.A.; Mirfatah, S.M.; Emadi, S.; Salehipour, H.; Civalek, Ö. Nonlinear thermo-mechanical static analysis of toroidal shells made of nanocomposite/fiber reinforced composite plies surrounded by elastic medium. Thin Walled Struct. 2022, 170, 108616. [Google Scholar] [CrossRef]
  22. Somaiah, A.; Prasad, B.A.; Nath, N.K. A comprehensive review: Characterization of glass fiber reinforced polymer composites with fillers from a Thermo-mechanical perspective. Mater. Today Proc. 2022, 62, 3226–3232. [Google Scholar] [CrossRef]
  23. Varghese, J.T.; Babaei, B.; Farrar, P.; Prentice, L.; Prusty, B.G. Influence of thermal and thermomechanical stimuli on a molar tooth treated with resin-based restorative dental composites. Dent. Mater. 2022, 38, 811–823. [Google Scholar] [CrossRef] [PubMed]
  24. Islam, F.; Wanigasekara, C.; Rajan, G.; Swain, A.; Prusty, B.G. An approach for process optimisation of the Automated Fibre Placement (AFP) based thermoplastic composites manufacturing using Machine Learning, photonic sensing and thermo-mechanics modelling. Manuf. Lett. 2022, 32, 10–14. [Google Scholar] [CrossRef]
  25. Hui, X.; Xu, Y.; Zhang, W.; Zhang, W. Multiscale collaborative optimization for the thermochemical and thermomechanical cure process during composite manufacture. Compos. Sci. Technol. 2022, 224, 109455. [Google Scholar] [CrossRef]
  26. Shen, Z.H.; Wang, J.J.; Jiang, J.Y.; Huang, S.X.; Lin, Y.H.; Nan, C.W.; Chen, L.-Q.; Shen, Y. Phase-field modeling and machine learning of electric-thermal-mechanical breakdown of polymer-based dielectrics. Nat. Commun. 2019, 10, 1843. [Google Scholar] [CrossRef] [PubMed]
  27. Polini, W.; Corrado, A. Digital twin of composite assembly manufacturing process. Int. J. Prod. Res. 2020, 58, 5238–5252. [Google Scholar] [CrossRef]
  28. Chen, C.-T.; Gu, G.X. Machine learning for composite materials. MRS Commun. 2019, 9, 556–566. [Google Scholar] [CrossRef]
  29. Parmar, H.; Khan, T.; Tucci, F.; Umer, R.; Carlone, P. Advanced robotics and additive manufacturing of composites: Towards a new era in Industry 4.0. Mater. Manuf. Process 2022, 37, 483–517. [Google Scholar] [CrossRef]
  30. Classen, M.; Ungermann, J.; Sharma, R. Additive manufacturing of reinforced concrete—Development of a 3D printing technology for cementitious composites with metallic reinforcement. Appl. Sci. 2020, 10, 3791. [Google Scholar] [CrossRef]
  31. Konstantopoulos, S.; Hueber, C.; Antoniadis, I.; Summerscales, J.; Schledjewski, R. Liquid composite molding reproducibility in real-world production of fiber reinforced polymeric composites: A review of challenges and solutions. Adv. Manuf. Polym. Compos. Sci. 2019, 5, 85–99. [Google Scholar] [CrossRef]
  32. Chen, G.; Zhang, N.; Li, N.; Yu, L.; Xu, X. A 3D Hemispheric Steam Generator Based on An Organic–Inorganic Composite Light Absorber for Efficient Solar Evaporation and Desalination. Adv. Mater. Interfaces 2020, 7, 1–10. [Google Scholar] [CrossRef]
  33. Qu, M.-L.; Tian, S.-Q.; Fan, L.-W.; Yu, Z.-T.; Ge, J. An experimental investigation and fractal modeling on the effective thermal conductivity of novel autoclaved aerated concrete (AAC)-based composites with silica aerogels (SA). Appl. Therm. Eng. 2020, 179, 115770. [Google Scholar] [CrossRef]
  34. Ahmed, O.; Wang, X.; Tran, M.-V.; Ismadi, M.-Z. Advancements in fiber-reinforced polymer composite materials damage detection methods: Towards achieving energy-efficient SHM systems. Compos. Part B Eng. 2021, 223, 109136. [Google Scholar] [CrossRef]
  35. Kot, P.; Muradov, M.; Gkantou, M.; Kamaris, G.S.; Hashim, K.; Yeboah, D. Recent advancements in non-destructive testing techniques for structural health monitoring. Appl. Sci. 2021, 11, 2750. [Google Scholar] [CrossRef]
  36. Owen-Bellini, M.; Hacke, P.; Miller, D.C.; Kempe, M.D.; Spataru, S.; Tanahashi, T.; Mitterhofer, S.; Jankovec, M.; Topic, M. Advancing reliability assessments of photovoltaic modules and materials using combined-accelerated stress testing. Prog. Photovolt. Overv. 2021, 29, 64–82. [Google Scholar] [CrossRef]
  37. Vaferi, K.; Nekahi, S.; Vajdi, M.; Moghanlou, F.S.; Shokouhimehr, M.; Motallebzadeh, A.; Sha, J.; Asl, M.S. Heat transfer, thermal stress and failure analyses in a TiB2 gas turbine stator blade. Ceram. Int. 2019, 45, 19331–19339. [Google Scholar] [CrossRef]
  38. Mishra, K.; Lal, A.; Sutaria, B.M. XFEM based thermo-elastic numerical analysis of FGMs with various discontinuities. Mech. Based Des. Struct. Mach. 2023, 51, 6998–7029. [Google Scholar] [CrossRef]
  39. Azhagan, M.T.; Manoj, M.; Jinu, G.R.; Mugendiran, V. Investigation of Mechanical Characterization, Thermal Behavior and Dielectric Properties on Al7075-TiB2 MMC Fabricated Using Stir Casting Route. Int. J. Met. 2022, 17, 1569–1579. [Google Scholar] [CrossRef]
  40. Moghanlou, F.S.; Vajdi, M.; Sha, J.; Motallebzadeh, A.; Shokouhimehr, M.; Asl, M.S. A numerical approach to the heat transfer in monolithic and SiC reinforced HfB2, ZrB2 and TiB2 ceramic cutting tools. Ceram. Int. 2019, 45, 15892–15897. [Google Scholar] [CrossRef]
  41. Hologne-Carpentier, M.; Mogniotte, J.-F.; Le, M.-Q.; Allard, B.; Clerc, G.; Cottinet, P.-J. A multi-physics approach to condition monitoring of SiC power module. Microelectron. Eng. 2021, 250, 111633. [Google Scholar] [CrossRef]
  42. Guo, J.; Baharvand, A.; Tazeddinova, D.; Habibi, M.; Safarpour, H.; Roco-Videla, A.; Selmi, A. An intelligent computer method for vibration responses of the spinning multi-layer symmetric nanosystem using multi-physics modeling. Eng. Comput. 2022, 38, 4217–4238. [Google Scholar] [CrossRef]
  43. Černe, B.; Petkovšek, M.; Duhovnik, J.; Tavčar, J. Thermo-mechanical modeling of polymer spur gears with experimental validation using high-speed infrared thermography. Mech. Mach. Theory 2020, 146, 103734. [Google Scholar] [CrossRef]
  44. Galos, J.; Pattarakunnan, K.; Best, A.S.; Kyratzis, I.L.; Wang, C.H.; Mouritz, A.P. Energy Storage Structural Composites with Integrated Lithium-Ion Batteries: A Review. Adv. Mater. Technol. 2021, 6, 1–19. [Google Scholar] [CrossRef]
  45. Tee, Y.L.; Peng, C.; Pille, P.; Leary, M.; Tran, P. PolyJet 3D Printing of Composite Materials: Experimental and Modelling Approach. JOM 2020, 72, 1105–1117. [Google Scholar] [CrossRef]
  46. Šančić, T.; Brčić, M.; Kotarski, D.; Łukaszewicz, A. Experimental Characterization of Composite-Printed Materials for the Production of Multirotor UAV Airframe Parts. Materials 2023, 16, 5060. [Google Scholar] [CrossRef] [PubMed]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Dhimole, V.K.; Cho, C. Special Issue: Numerical Simulation and Thermo-Mechanical Investigation of Composite Structures. Appl. Sci. 2023, 13, 11757. https://doi.org/10.3390/app132111757

AMA Style

Dhimole VK, Cho C. Special Issue: Numerical Simulation and Thermo-Mechanical Investigation of Composite Structures. Applied Sciences. 2023; 13(21):11757. https://doi.org/10.3390/app132111757

Chicago/Turabian Style

Dhimole, Vivek Kumar, and Chongdu Cho. 2023. "Special Issue: Numerical Simulation and Thermo-Mechanical Investigation of Composite Structures" Applied Sciences 13, no. 21: 11757. https://doi.org/10.3390/app132111757

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop