Superhydrophilic functionalized graphene/fiberglass/epoxy laminates with high mechanical, impact and thermal performance and treated by plasma

2020 ◽  
Vol 90 ◽  
pp. 106701
Author(s):  
Samy Yousef ◽  
Sharath P. Subadra ◽  
Paulius Griškevičius ◽  
Sarunas Varnagiris ◽  
Darius Milcius ◽  
...  
RSC Advances ◽  
2018 ◽  
Vol 8 (37) ◽  
pp. 20505-20516 ◽  
Author(s):  
Shasha Li ◽  
Xi Liu ◽  
Changqing Fang ◽  
Nailiang Liu ◽  
Donghong Liu

Functionalized graphene oxide (GO) was successfully modified by grafting 1,3,5-triglycidylisocyanurate (TGIC) onto the surface of GO.


2020 ◽  
Vol 175 ◽  
pp. 115385 ◽  
Author(s):  
Emad Sadeghinezhad ◽  
Amir Reza Akhiani ◽  
Hendrik Simon Cornelis Metselaar ◽  
Sara Tahan Latibari ◽  
Mehdi Mehrali ◽  
...  

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6542
Author(s):  
Alireza Esmaeilzadeh ◽  
Mahyar Silakhori ◽  
Nik Nazri Nik Ghazali ◽  
Hendrik Simon Cornelis Metselaar ◽  
Azuddin Bin Mamat ◽  
...  

Experimental and numerical modeling of a heat pipe included with a phase change heat transfer was developed to assess the effects of three parameters of nanofluid, heat pipe inclination angles, and input heating power. Distilled water (DW) and 1-pyrene carboxylic-acid (PCA)-functionalized graphene nanofluid (with concentrations of 0.06 wt%) were used as working fluids in the heat pipe. A computational fluid dynamic (CFD) model was developed for evaluation of the heat transfer and two-phase flow through the steady-state process of the heat pipe. It was found that inclination significantly affects the heat transfer of the heat pipe. Maximum increment of thermal performance in the heat pipe reached 49.4% by using 0.06 wt% of PCA-functionalized graphene as working fluids. The result associated with this comparison indicates that the highest deviation is less than 6%, consequently confirming that the CFD model was successful in reproducing the heat and mass transfer processes in the DW and nanofluids charged heat pipe. The results of CFD simulation have good agreement between predicted temperature profiles and experimental data.


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