ORCID Profile
0000-0002-8187-7028
Current Organisation
Shenyang Aerospace University
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Composite and Hybrid Materials | Functional Materials | Materials Engineering | Heat and Mass Transfer Operations
Expanding Knowledge in Engineering | Expanding Knowledge in Technology |
Publisher: Elsevier BV
Date: 11-2022
Publisher: Wiley
Date: 26-05-2021
DOI: 10.1002/PC.26140
Abstract: Developing polymer‐based nanocomposites with high thermal conductivity, mechanical performance, and electrical insulation becomes a huge challenge in both academia and industry. In this article, the synergistic effects of boron nitride (BN) nanosheets and carbon nanotubes (CNTs) on mechanical properties and thermal conductivity of epoxy nanocomposite adhesives were investigated. The results showed that the addition of one‐dimensional CNTs and two‐dimensional BN nanosheets into the epoxy matrix contributes to the formation of a three‐dimensional network and a larger contact surface between the nanofillers and the epoxy matrix. The hybrid filler of BN and CNTs provided significant improvements in thermal conductivity and mechanical properties of epoxy nanocomposite adhesives. At 1.06 vol% of BN‐CNTs, epoxy nanocomposite adhesives provide higher Young's modulus, fracture toughness ( K 1C ), energy release rate ( G 1C ), lap shear strength, and thermal stability compared with epoxy/BN nanocomposite adhesives. The thermal conductivity of epoxy/BN‐CNT nanocomposites recorded its maximum values of 0.49 K m −1 k −1 at 3.79 vol% and increased by 335% compared with 133% in case of epoxy/BN at the same fraction of 3.79 vol%.
Publisher: Elsevier BV
Date: 05-2022
Publisher: Springer Science and Business Media LLC
Date: 29-04-2019
Publisher: Wiley
Date: 12-11-2019
DOI: 10.1002/PAT.4760
Publisher: IOP Publishing
Date: 19-07-2022
Abstract: In this study, a flexible porous polyvinyl alcohol (PVA)/graphene oxide (GO) composite film was developed and tested for flexible strain sensing and energy-storage applications. Morphology and mechanical properties were studied tensile strength and Young’s modulus increased by 225% and 86.88%, respectively, at 0.5 wt% GO. The PVA/GO film possesses exceptional sensing ability to various mechanical strains, such as tension, compression, bending, and torsion. For ex le, the gauge factor of the PVA/GO film as a tensile-strain sensor was measured as 2.46 (246%). Under compression loads, the PVA/GO composite film showed piezoresistive and capacitive strain-sensing characteristics. Under 5 kPa of compression load, the relative resistance increased by 81% with a 100 msec response time the relative capacitance increased by 160% with a 120 msec response time. The PVA/GO strain sensor exhibited high durability and reliability over 20 × 10 3 cycles of tensile strain and bending at 3.33 Hz. Moreover, the PVA/GO composite film showed good electrochemical properties due to its porous structure the maximum capacitance was 124.7 F g −1 at 0.5 wt% GO. After 20 × 10 3 charging–discharging cycles, the capacitance retention rate was 94.45%, representing high stable capacitance performance. The results show that electrically conductive porous PVA nanocomposite films are promising candidates for strain sensing and energy-storage devices.
Publisher: Wiley
Date: 12-06-2019
DOI: 10.1002/APP.48056
Publisher: Royal Society of Chemistry (RSC)
Date: 2022
DOI: 10.1039/D2RA03284H
Abstract: A high-performance porous flexible composite film sensor for tension monitoring. The sensor can monitor the strain of the whole field and then use contour maps to locate damage.
Publisher: MDPI AG
Date: 06-04-2019
DOI: 10.3390/S19071656
Abstract: Despite that graphene has been extensively used in flexible wearable sensors, it remains an unmet need to fabricate a graphene-based sensor by a simple and low-cost method. Here, graphene nanoplatelets (GNPs) are prepared by thermal expansion method, and a sensor is fabricated by sealing of a graphene sheet with polyurethane (PU) medical film. Compared with other graphene-based sensors, it greatly simplifies the fabrication process and enables the effective measurement of signals. The resistance of graphene sheet changes linearly with the deformation of the graphene sensor, which lays a solid foundation for the detection of physiological signals. A signal processing circuit is developed to output the physiological signals in the form of electrical signals. The sensor was used to measure finger bending motion signals, respiration signals and pulse wave signals. All the results demonstrate that the graphene sensor fabricated by the simple and low-cost method is a promising platform for physiological signal measurement.
Publisher: IOP Publishing
Date: 08-07-2019
Abstract: Polymers are widely used but their flammability remains a serious issue causing fatalities and property damage. Herein we present an investigation into the effectiveness of graphene platelets (GnPs) to simultaneously improve the flame retardancy and mechanical properties of ethylene propylene diene monomer rubber (EPDM). EPDM was melt compounded respectively with GnPs and a commercial flame retardant (ammonium polyphosphate, APP) to produce two groups of composites. Although both fillers were well dispersed in EPDM, GnPs significantly improved the mechanical properties of EPDM whilst APP compromised some of the mechanical properties particularly at high fractions. This difference was attributed to the filler particle size and interfacial bonding. Through cone calorimetry testing, 21 wt% char yield was recorded for the EPDM/GnP composite at 12.0 vol%, in comparison with 8 wt% for the EPDM/APP composite. APP was able to lower the peak heat release rate (PHRR) and specific mass loss rate (MLR), but unfortunately it decreased the ignition time and fire performance index (FPI). By contrast, GnPs has been found to increase ignition time by 29% and FPI by 62%, while still achieved the same level of reductions in PHRR and specific MLR, demonstrating clear advantages over APP. During combustion the highly thermally stable GnPs bonded with the viscous, degraded EPDM macromolecules, forming a thick solid char layer which prevented the transport of heat and smoke, contributing to its superior flame retarding performance over APP.
Publisher: American Chemical Society (ACS)
Date: 20-01-2021
Publisher: American Chemical Society (ACS)
Date: 10-11-2020
Publisher: Wiley
Date: 02-05-2019
DOI: 10.1002/APP.47906
Publisher: Informa UK Limited
Date: 15-11-2022
Publisher: MDPI AG
Date: 07-01-2020
DOI: 10.3390/S20020329
Abstract: Although graphene has been widely used as a nano-filler to enhance the conductivity of porous materials, it is still an unsatisfactory requirement to prepare graphene-based sponge porous materials by simple and low-cost methods to enhance their mechanical properties and make them have good sensing and capacitive properties. Graphene platelets (GnPs) were prepared by the thermal expansion method. Graphene-based sponge porous materials were prepared by a simple method. A flexible sensor was formed and supercapacitors were assembled. Compared with other graphene-based composites, the graphene-based composite sponge has good electrical response under bending and torsion loading. Under 180° bending and torsion loading, the maximum resistance change rate can reach 13.9% and 52.5%, respectively. The linearity under tension is 0.01. The mechanical properties and capacitance properties of the sponge nanocomposites were optimized when the filler fraction was 1.43 wt.%. The tensile strength was 0.236 MPa and capacitance was 21.4 F/g. In cycles, the capacitance retention rate is 94.45%. The experimental results show that the graphene-based sponge porous material can be used as a multifunctional flexible sensor and supercapacitor, and it is a promising and multifunctional porous nanocomposite material.
Publisher: Wiley
Date: 28-01-2021
DOI: 10.1002/APP.50509
Publisher: Elsevier BV
Date: 05-2019
Publisher: IOP Publishing
Date: 11-06-2021
Publisher: IOP Publishing
Date: 14-11-2020
Abstract: Flexible electronics is expected to be one of the most active research areas in the next decade. In this study, a mechanically strong and flexible epoxy/GnP composite film was fabricated having a percolation threshold of electrical conductivity at 1.08 vol% GnPs and high thermal conductivity as 1.07 W m
Publisher: Elsevier BV
Date: 11-2021
Publisher: Wiley
Date: 09-12-2022
DOI: 10.1002/PAT.5960
Abstract: In recent years, the use of nano‐fillers in flexible polymer matrix to prepare highly flexible, stretchable, and multifunctional product has been widely studied. However, the uneven dispersion of nano‐fillers in polymer matrix is an important factor hindering their performance. In this study, a method to prepare graphene nanosheets by ball milling and modification with the silane coupling agent APTES is reported, and this method can reduce the thickness of the nanosheets, improving the dispersion effect and compatibility of the nanosheets in the PDMS matrix. The mechanical and conductive properties of the prepared composite films were further analyzed. The morphology showed that our modified graphene (MGE and BMGE) are more evenly dispersed in the PDMS matrix compared to the unmodified graphene (GNP). The MGE/PDMS composite film has significantly improved electrical conductivity. It has a wide sensing range (up to 48%), high sensitivity (GF of 152 in the 20%–40% strain range) and reliable cycle repeatability ( ,000 cycles) with a response time of 0.12 s. The results show that the modified graphene/PDMS conductive elastic nanocomposite film is an ideal material for making flexible electronic products.
Publisher: IOP Publishing
Date: 19-05-2020
Publisher: Elsevier BV
Date: 12-2019
Publisher: Elsevier BV
Date: 12-2021
Publisher: Springer Science and Business Media LLC
Date: 22-09-2022
Publisher: IOP Publishing
Date: 02-09-2020
Start Date: 2019
End Date: 2023
Funder: National Natural Science Foundation of China
View Funded ActivityStart Date: 2016
End Date: 2018
Funder: Australian Research Council
View Funded ActivityStart Date: 2009
End Date: 2012
Funder: AutoCRC
View Funded ActivityStart Date: 07-2018
End Date: 07-2023
Amount: $4,272,072.00
Funder: Australian Research Council
View Funded Activity