Article
Materials Science, Composites
Yutong Fu, Xuefeng Yao
Summary: The research explores the designing and fabrication of continuous fiber reinforced thermoplastic composites through additive manufacturing technology. It simulates the manufacturing process and mechanical properties, providing insights for the design and evaluation of 3D printed CFRTPCs. The study offers a theoretical basis and simulation method for predicting the mechanical properties of 3D printed CFRTPCs.
COMPOSITES SCIENCE AND TECHNOLOGY
(2021)
Article
Materials Science, Composites
Jeffrey J. Kim, Avery D. Brown, Charles E. Bakis, Edward C. Smith
Summary: The study aims to explore hybrid CNT - carbon/epoxy composites for high damping and stiffness, and the system with highly aligned CNT yarns treated with a non-ionic surfactant, located at the interlayers and oriented along the loading direction, shows superior damping and stiffness characteristics.
COMPOSITES SCIENCE AND TECHNOLOGY
(2021)
Article
Materials Science, Composites
Yutong Fu, Yan Kan, Xin Fan, Shanyong Xuan, Xuefeng Yao
Summary: This paper investigates the design strategy and mechanical properties of 3D printed continuous fiber reinforced thermoplastic fabric composites (CFRTPFCs). Simulation of manufacturing processes and analysis of mechanical properties using a multi-scale fluid-solid coupling method are performed. The effects of length-width ratio and printing method on the mechanical behaviors of the composites are discussed.
COMPOSITES SCIENCE AND TECHNOLOGY
(2022)
Article
Materials Science, Multidisciplinary
Roland Petreny, Laszlo Meszaros
Summary: This study investigated the creep behavior and moisture content dependence in injection molded hybrid composites reinforced with carbon fibers and carbon nanotubes. The presence of carbon fibers helped to distribute carbon nanotubes uniformly in the matrix, leading to lower creep rates. The synergistic effects of adding carbon nanotubes to the composite further decreased the creep rate, with a lower decrease in crystallinity and moisture absorption compared to composites only reinforced with carbon nanotubes.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2022)
Article
Materials Science, Composites
Ferhat Yildirim, Elif Kabakci, Hatice S. Sas, Volkan Eskizeybek
Summary: This study reports the preparation of multi-scale composite materials by grafting MWCNTs onto 3D spacer composites and testing their electromagnetic interference shielding efficiency, showing good performance of the 3D spacer composites with unique structures. The conductivity in different directions also varies, showing the advantages of multi-scale composite materials.
POLYMER COMPOSITES
(2022)
Article
Materials Science, Characterization & Testing
Jianbin Li, Yueling Chen, Jie Sun, Sheng Zhang, Jingbiao Ye, Ying Jin, Zhengqiu Li, Baoshu Chen
Summary: This study prepared a layered intumescent flame retardant (IFR)-graphene oxide (GO) and used it to prepare multi-scale polybutylene terephthalate (PBT) composites with the addition of glass fiber (GF), boron nitride (BN), and nano SiO2 flame retardant synergists of different shapes and sizes. The results showed that the SiO2-containing composites exhibited excellent flame resistance, achieving a flame retardant grade of V-0 and a limiting oxygen index (LOI) of 32%. The IFR-GO, PBT, and SiO2 formed a multi-scale network structure and interacted via hydrogen bonding, catalyzing in situ charring.
Article
Construction & Building Technology
Jamshid Esmaeili, Keyvan Andalibi, Osman Gencel
Summary: This study investigates the mechanical behavior of polymer concrete and determines the effects of different contents of polymers, fillers, and steel fibers on its mechanical properties through experiments. The results show that increasing polymer content moderately improves mechanical properties, while excessively high content reduces performance. Non-destructive tests indicate that increasing cement and micro-silica content decreases specimen porosity, while higher steel fiber content increases ductility and energy absorption. Two functions were proposed to predict the mechanical properties of PC based on the findings of this study.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Nanoscience & Nanotechnology
Ping Tang, Zijian Zhang, Chenxin Guo, Shaohua Zeng, Pengpeng Chen, Ying Xu, Wangyan Nie, Yifeng Zhou
Summary: Carbon nanotubes have great potential for use in microelectronic packaging due to their excellent thermal conductivities. However, their high electroconductibility and poor radial conductivity limit their application in insulating materials. In this study, a heterostructured brushlike hybrid was prepared by anchoring amine-functionalized multiwalled carbon nanotubes onto insulating montmorillonite. The resulting composites exhibited improved thermal conductivity, mechanical properties, and thermal stability, providing a promising strategy for fabricating polymer composites.
ACS APPLIED NANO MATERIALS
(2022)
Article
Materials Science, Multidisciplinary
Zheqi Peng, Xin Wang, Lining Ding, Zhishen Wu
Summary: This study adopts a bundle-based concept to model unidirectional hybrid fiber-reinforced polymer composites and conducts a parametric study and optimization framework development. The results show that a dispersed arrangement of fiber bundles can delay damage propagation and enhance overall performance.
MATERIALS & DESIGN
(2022)
Article
Engineering, Manufacturing
Jie-Hua Cai, Xiao-Hong Tang, Xu-Dong Chen, Ming Wang
Summary: Elastomer composites with temperature and strain-induced tunable EMI shielding effectiveness were successfully obtained by introducing temperature-sensitive microspheres (TSM) into PDMS/CNT mixture. The mechanism of temperature and strain-induced regulation on EMI shielding was investigated, showing that TSM particles could rearrange the CNT conductive network at specific temperature and strain levels. Temperature-induced regulation led to a decrease in EMI SE at 120°C, partially recovering at 150°C, while strain-induced regulation resulted in reduced EMI SE after 70% compression, partially recovering at 120°C.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
(2021)
Article
Engineering, Multidisciplinary
Shanshan Ma, Hejun Li, Jie Fei, Chang Li
Summary: Researchers constructed a flexible-rigid scalable structure using aramid nanofiber (ANF), cellulose nanofiber (CNF), and ZIF-8 to improve the interfacial properties of composites. This structure enhanced the flexural strength and elastic modulus of the composites, leading to the fabrication of advanced materials on a large scale.
COMPOSITES PART B-ENGINEERING
(2023)
Article
Materials Science, Multidisciplinary
Chao Liu, Linh Le, Mingshao Zhang, Junjun Ding
Summary: This article presents a compressive strain sensor fabricated using carbon nanotubes (CNT) and polydimethylsiloxane (PDMS) that exhibits tunable mechanical and electrical performances. The composite material, produced through material extrusion 3D printing, shows excellent mechanical strength and electrical conductivity thanks to the addition of CNT. It also demonstrates stable performance under large-scale compressive strain.
ADVANCED ENGINEERING MATERIALS
(2022)
Article
Materials Science, Composites
Xi Wang, Bao Yang, Qiao Li, Fei Wang, Xiao-ming Tao
Summary: The mechanical model of fabric strain sensors based on carbon-particle-filled conductive polymer and knitted fabric substrate was established and implemented for predicting resistance response during relaxations. The predicted relative mean error of resistance was only 0.2%, with an average correlation of 0.9783 between predicted and measured resistance.
COMPOSITES SCIENCE AND TECHNOLOGY
(2021)
Article
Mechanics
Xiaodong Wang, Zhidong Guan, Yao Wang, Zengshan Li, Geng Han, Qingchun Meng, Shanyi Du
Summary: A novel inter-fiber failure criterion of composites based on micro-scale failure mechanism is proposed, which can provide precise predictions on the strength and failure angle of fiber reinforced polymer composites by considering micro-scale stress distribution, fiber volume fraction, and elastic properties of constituents. This criterion is verified to be accurate through experimental and simulation results under biaxial stress on the micro-scale model.
COMPOSITE STRUCTURES
(2021)
Article
Engineering, Electrical & Electronic
Masahiro Sato, Akiko Kumada, Kunihiko Hidaka, Takanori Yasuoka, Yoshikazu Hoshina, Motoharu Shiiki
Summary: We investigated the dielectric response of epoxy/BaTiO3 composite and proposed a multiscale computational approach to simulate the polarization behavior of polymer/ferroelectric composites. Both experiments and simulations showed nonlinear hysteresis behavior, which is attributed to domain wall motion in BaTiO3. The computational results have practical implications for applications.
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
(2023)
Article
Computer Science, Interdisciplinary Applications
Amin Ghorbanhossaini, Roham Rafiee, Andrei Pligovka, Marco Salerno
Summary: In this study, resin composites were fabricated using a standard matrix system for dental restorations, incorporating microsized fillers with nanopores. The mechanical properties of the composites were investigated through bending tests and modeling, and compared with commercial composites.
ENGINEERING WITH COMPUTERS
(2023)
Article
Computer Science, Interdisciplinary Applications
Reza Yazdanparast, Roham Rafiee
Summary: In this paper, three methodologies are proposed for determining the equivalent in-plane properties of square-shaped core honeycombs using the multi-scale homogenization technique. The proposed methods are compared with existing analytical and numerical methods to demonstrate their effectiveness.
ENGINEERING WITH COMPUTERS
(2023)
Article
Materials Science, Textiles
Mohammad Aghaei, Mahmood M. Shokrieh, Reza Mosalmani
Summary: The harness and weave style are important properties of woven fabrics. This study investigated the effects of different weave patterns on the mechanical properties of woven composites, as well as the impact of adding carbon nanofibers (CNFs) to the composites. The results showed that the addition of CNFs improved the tensile and shear strength of the composites, with a greater effect on shear properties. Additionally, a predictive model was developed for the strength and elastic modulus of woven composites with different harnesses and CNF weight fractions.
JOURNAL OF INDUSTRIAL TEXTILES
(2022)
Article
Materials Science, Multidisciplinary
Roham Rafiee, Amirhesam Salehi
Summary: This study analyzes the influence of inescapable imperfections associated with fiber arrangement in the filament winding process on the burst pressure of a composite vessel through two-scale analysis and multi-scale modeling.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2023)
Article
Mechanics
M. Bagheri Tofighi, H. Biglari, M. M. Shokrieh
Summary: The impact behavior of sandwich structures was studied using both experimental and numerical methods. The results showed that nanoreinforced structures had higher contact force and shorter contact duration, resulting in smaller damage area and dent depth. A validated finite element model was used to investigate the effects of different parameters on the impact response of sandwich structures.
MECHANICS OF COMPOSITE MATERIALS
(2022)
Article
Mechanics
A. H. Mirzaei, M. M. Shokrieh, A. Saeedi
Summary: The fatigue behavior of carbon/epoxy laminated composites with/without embedded SMA wires was investigated and a new fatigue model was proposed to predict their behavior.
COMPOSITE STRUCTURES
(2022)
Article
Construction & Building Technology
Atefeh Fattahi, Hasan Ramezani, Mahmood M. Shokrieh, Siavash Kazemirad
Summary: The capability of finite element simulations of guided Lamb wave propagation for the characterization of the modulus of fiber-metal laminates and detection of the matrix cracking was evaluated in this study. The results showed good agreement between FE simulations and experimental tests, especially at low frequencies. The sensitivity of Lamb wave velocity to matrix cracks was observed to be higher at high frequencies.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Article
Engineering, Electrical & Electronic
R. Pashaie, A. H. Mirzaei, M. Vahedi, M. M. Shokrieh
Summary: Many studies have been conducted on the simultaneous measurement of temperature and strain in different structures using fiber bragg grating (FBG) sensors for structural health monitoring. This paper achieved simultaneous measurement of strain and temperature using one uniform FBG sensor in a cantilever beam. The changes in full width at half maximum (FWHM) and Bragg wavelength shift of the FBG sensor's optical spectrum were monitored in the experimental setup.
OPTICAL AND QUANTUM ELECTRONICS
(2023)
Article
Materials Science, Composites
Roham Rafiee, Ali Ghamarzadeh
Summary: The main purpose of this research is to develop a model for investigating creep phenomenon in polymeric composites reinforced with randomly oriented short fibers. The creep phenomenon is first analyzed at the micro-scale in a representative volume element of a long-fiber composite using an implicit approach. Then, a macro-scale creep analysis is performed at the laminate level. The creep behavior of randomly oriented short fiber composites is obtained by integrating laminate analogy with creep modeling technique, and the results are compared with published experimental data.
POLYMER COMPOSITES
(2023)
Article
Engineering, Multidisciplinary
A. H. Mirzaei, M. M. Shokrieh
Summary: Thermography is used to evaluate the residual life of laminated composites under fatigue loading, but it may not provide detailed information on temperature rise and fatigue damage in each ply of laminated composites with stress concentration. This study modifies and improves the Self-Heating model to simulate the evolution of temperature rise and fatigue damage in laminated composites with stress concentrations, and verifies the results through extensive experiments. The present model successfully simulates the cycle-by-cycle temperature distribution and damage states in each ply of laminated composites under fatigue loading.
COMPOSITES PART B-ENGINEERING
(2023)
Article
Materials Science, Composites
Roham Rafiee, Amirhossein Rahimi
Summary: The main objective of this study is to investigate the mechanical degradation of fiber reinforced composites exposed to sunlight under natural conditions on a long-term basis. Experimental study and theoretical modeling are conducted to compare the results and evaluate the destructive influence of sunlight on the mechanical performance of polymeric composites through stochastic scenarios.
JOURNAL OF COMPOSITE MATERIALS
(2023)
Article
Materials Science, Composites
M. Nejati, M. M. Shokrieh, A. Ghasemi Ghalebahman
Summary: A novel method for repairing cracked aluminum sheets using polymer composite patches with embedded prestressed Nitinol shape memory alloy (Ni-Ti SMA) wires is proposed. Elastic-plastic finite element analysis was performed on the repaired aluminum plates with pure mode I and mixed-mode I/II fractures using SMA wires reinforced composite patches (SMA-CP). The performance and efficiency of the repair were evaluated by calculating the peel stress on the adhesive layer between the composite patch and the aluminum plate. The influence of prestressed Ni-Ti SMA wires on the efficiency of the composite patch was examined.
JOURNAL OF COMPOSITE MATERIALS
(2023)
Article
Materials Science, Composites
Roham Rafiee, Mohammad Naghi Arabian
Summary: This research focuses on investigating the influence of moisture absorption on the long-term creep behavior of GFRP pipes both experimentally and theoretically. The results show that moisture absorption has a significant impact on the creep behavior of GFRP pipes. Furthermore, a systematic modeling procedure is developed to evaluate the long-term wet-creep response of the GFRP pipes by linking the micro and macro scales.
POLYMER COMPOSITES
(2023)
Article
Engineering, Mechanical
M. Nejati, M. M. Shokrieh, A. Ghasemi Ghalebahman
Summary: The current research presents a semi-numerical (SN) method to obtain the critical J-integral (JC) of an Al 2024-T3 plate under plane-stress conditions. The method estimates the JC by performing a finite element simulation of a simple tensile test on a dumbbell specimen, using the true experimental stress-strain curve. Experimental programs were conducted to evaluate the results of the method and investigate the effect of notch radius on symmetrical edge U-notched specimens.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2023)
Article
Engineering, Aerospace
Roham Rafiee, Touraj Farsadi, Majid Ahmadi Tehrani, Parsa Sharifi
Summary: The paper presents a systematic numerical design for optimizing composite wings under aerodynamic loading and evaluates their aeroelastic and structural performance. By utilizing the anisotropic features of composite materials, a method called aeroelastic tailoring is proposed. The methodology combines three different analysis tools: a commercial FE software, an in-house reduced order aeroelastic framework, and in-house linkage-learning genetic algorithms for optimization. The proposed methodology can be effectively applied to any arbitrary air vehicle's composite wing by changing input data.
INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES
(2023)
Correction
Materials Science, Multidisciplinary
A. D. Boccardo, M. Tong, S. B. Leen, D. Tourret, J. Segurado
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Tao Li, Qing Hou, Jie-chao Cui, Jia-hui Yang, Ben Xu, Min Li, Jun Wang, Bao-qin Fu
Summary: This study investigates the thermal and defect properties of AlN using molecular dynamics simulation, and proposes a new method for selecting interatomic potentials, developing a new model. The developed model demonstrates high computational accuracy, providing an important tool for modeling thermal transport and defect evolution in AlN-based devices.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Shin-Pon Ju, Chao-Chuan Huang, Hsing-Yin Chen
Summary: Amorphous boron nitride (a-BN) is a promising ultralow-dielectric-constant material for interconnect isolation in integrated circuits. This study establishes a deep learning potential (DLP) for different forms of boron nitride and uses molecular dynamics simulations to investigate the mechanical behaviors of a-BN. The results reveal the structure-property relationships of a-BN, providing useful insights for integrating it in device applications.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
M. Salman, S. Schmauder
Summary: Shape memory polymer foams (SMPFs) are lightweight cellular materials that can recover their undeformed shape through external stimulation. Reinforcing the material with nano-clay filler improves its physical properties. Multiscale modeling techniques can be used to study the thermomechanical response of SMPFs and show good agreement with experimental results.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Laura Gueci, Francesco Ferrante, Marco Bertini, Chiara Nania, Dario Duca
Summary: This study investigates the acidity of 30 Bronsted sites in the beta-zeolite framework and compares three computational methods. The results show a wide range of deprotonation energy values, and the proposed best method provides accurate calculations.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
K. A. Lopes Lima, L. A. Ribeiro Junior
Summary: Advancements in nanomaterial synthesis and characterization have led to the discovery of new carbon allotropes, including biphenylene network (BPN). The study finds that BPN lattices with a single-atom vacancy exhibit higher CO2 adsorption energies than pristine BPN. Unlike other 2D carbon allotropes, BPN does not exhibit precise CO2 sensing and selectivity by altering its band structure configuration.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Jay Kumar Sharma, Arpita Dhamija, Anand Pal, Jagdish Kumar
Summary: In this study, the quaternary Heusler alloys LiAEFeSb were investigated for their crystal structure, electronic properties, and magnetic behavior. Density functional theory calculations revealed that LiSrFeSb and LiBaFeSb exhibit half-metallic band structure and 100% spin polarization, making them excellent choices for spintronic applications.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Roman A. Eremin, Innokentiy S. Humonen, Alexey A. Kazakov, Vladimir D. Lazarev, Anatoly P. Pushkarev, Semen A. Budennyy
Summary: Computational modeling of disordered crystal structures is essential for studying composition-structure-property relations. In this work, the effects of Cd and Zn substitutions on the structural stability of CsPbI3 were investigated using DFT calculations and GNN models. The study achieved accurate energy predictions for structures with high substitution contents, and the impact of data subsampling on prediction quality was comprehensively studied. Transfer learning routines were also tested, providing new perspectives for data-driven research of disordered materials.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Zhixin Sun, Hang Dong, Yaohui Yin, Ai Wang, Zhen Fan, Guangyong Jin, Chao Xin
Summary: In this study, the crystal structure, electronic structure, and optical properties of KH2PO4: KDP crystals under different pressures were investigated using the generalized gradient approximate. It was found that high pressure caused a phase transition in KDP and greatly increased the band gap. The results suggest that high pressure enhances the compactness of KDP and improves the laser damage threshold.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Tingting Yu
Summary: This study presents atomistic simulations revealing that an increase in driving force may result in slower grain boundary movement and switches in the mode of grain boundary shear coupling migration. Shear coupling behavior is found to effectively alleviate stress and holds potential for stress relaxation and microstructure manipulation in materials.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Y. Zhang, X. Q. Deng, Q. Jing, Z. S. Zhang
Summary: The electronic properties of C2N/antimonene van der Waals heterostructure are investigated using density functional theory. The results show that by applying horizontal strain, vertical strain, electric field, and interlayer twist, the electronic structure can be adjusted. Additionally, the band alignment and energy states of the heterostructure can be significantly changed by applying vertical strain on the twisted structure. These findings are important for controlling the electronic properties of heterostructures.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Chad E. Junkermeier, Evan Larmand, Jean-Charles Morais, Jedediah Kobebel, Kat Lavarez, R. Martin Adra, Jirui Yang, Valeria Aparicio Diaz, Ricardo Paupitz, George Psofogiannakis
Summary: This study investigates the adsorption properties of carbon dioxide (CO2), methane (CH4), and dihydrogen (H2) in carbophenes functionalized with different groups. The results show that carbophenes can be promising adsorbents for these gases, with high adsorption energies and low desorption temperatures. The design and combination of functional groups can further enhance their adsorption performance.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Y. Borges, L. Huber, H. Zapolsky, R. Patte, G. Demange
Summary: Grain boundary structure is closely related to solute atom segregation, and machine learning can predict the segregation energy density. The study provides a fresh perspective on the relationship between grain boundary structure and segregation properties.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
M. R. Jones, L. T. W. Fey, I. J. Beyerlein
Summary: In this work, a three-dimensional ab-initio informed phase-field-dislocation dynamics model combined with Langevin dynamics is used to investigate glide mechanisms of edge and screw dislocations in Nb at finite temperatures. It is found that the screw dislocation changes its mode of glide at two distinct temperatures, which coincides with the thermal insensitivity and athermal behavior of Nb yield strengths.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Joshua A. Vita, Dallas R. Trinkle
Summary: This study introduces a new machine learning model framework that combines the simplicity of spline-based potentials with the flexibility of neural network architectures. The simplified version of the neural network potential can efficiently describe complex datasets and explore the boundary between classical and machine learning models. Using spline filters for encoding atomic environments results in interpretable embedding layers that can incorporate expected physical behaviors and improve interpretability through neural network modifications.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
