Reinforcing effect of surface-modified multiwalled carbon nanotubes on flexural response of E-glass/epoxy isogrid-stiffened composite panels

2016 ◽  
Vol 39 (S2) ◽  
pp. E677-E686 ◽  
Author(s):  
Hamed Khosravi ◽  
Reza Eslami-Farsani
2019 ◽  
Vol 37 (3) ◽  
pp. 245-257
Author(s):  
Sriganesh Gandham ◽  
V. Choudhary Nettem ◽  
V.C. Rao Peddy ◽  
Rajiv Kumar T. A. ◽  
Srinivas Vadapalli

AbstractThis paper summarizes the anti-corrosive and anti-erosive properties of water-ethylene glycol based commercial coolant dispersed with nanomaterials. Multiwalled carbon nanotubes (MWCNTs), silver nanoparticles (Ag) and nanosized alumina particles (Al2O3) are dispersed in 0.5% weight in automotive coolants and tested for anti-corrosive properties as per ASTM standards. Prior to dispersion, the nanomaterials are surface modified to get good stability in coolant solutions. The corrosion resistance is measured in terms of weight loss of materials that is commonly used in automotive systems. It is found that oxidized MWCNTs are suitable to automotive systems while silver and Al2O3 nanoparticles are found to be deleterious in nature.


2014 ◽  
Vol 625 ◽  
pp. 148-151 ◽  
Author(s):  
Rahmam Syuhaidah ◽  
Muti Mohamed Norani ◽  
Suriati Sufian

Carbon Nanotubes (CNT) have emerged and gained great interest for research in many applications because of their unique specific characteristics such as having high porosity, high surface area and the existence of a wide spectrum of surface functional groups through chemical modification. Multiwalled carbon nanotubes (MWCNT) is a type of CNT that comprises of multiple layers of concentric cylinders. The overall study of this research work is to modify MWCNT to become a good adsorbent that can adsorb CO2 at its optimum capacity. In order to make MWCNT as an efficient adsorbent, surface treatment on pristine MWCNT is necessary to overcome the hydrophobicity issue by the introduction of carboxyl group. Upon the surface treatment, functionalization of MWCNT with 3-Aminopropyl triethoxysilane (APTS) was conducted to obtain the attachment of amine group that will assist MWCNT in adsorbing CO2. The surface treatment and functionalization process undergone by MWCNT changed the physical properties of MWCNT such as the surface area, pore volume, and pore size distribution. These properties can be determined using surface area and pore analyzer (SAP). Sample that treated with the mixture of nitric and sulfuric acid (HNO3/H2SO4) and functionalized with APTS gives the lowest surface area (22.07 m2/g) and pore volume (0.06 cm3/g). The pore size distribution also decreases due to the most presence of functional group onto the surface of modified MWCNT. This research paper is focusing on the effect of surface area, pore volume, and pore size distribution on the modified MWCNT.


2019 ◽  
Vol 55 (1) ◽  
pp. 32-36
Author(s):  
G. P. Shumakovich ◽  
M. E. Khlupova ◽  
I. S. Vasil’eva ◽  
E. A. Zaitseva ◽  
E. V. Gromova ◽  
...  

Nanoscale ◽  
2011 ◽  
Vol 3 (4) ◽  
pp. 1741 ◽  
Author(s):  
Xueyan Cao ◽  
Jingjing Chen ◽  
Shihui Wen ◽  
Chen Peng ◽  
Mingwu Shen ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Raviteja Surakasi ◽  
K. Ch. Sekhar ◽  
Ekrem Yanmaz ◽  
G. Yuvaraj ◽  
Jayaprakash Venugopal ◽  
...  

The researchers wanted to see whether MWCNTs changed the physicothermal properties of solar thermal working fluids. Assessing thermal properties is vital for solar thermal efficiency. Lubricant contains silicone oil resurfaced. It contains 0.25, 0.5, 0.75, and 1.0% multiwalled carbon nanotubes. Before dispersion in thermic fluids, nanomaterials must be properly surface modified. Between 100°C and 300°C, a fluid’s thermal conductivity and specific heat physical characteristics like viscosity and density may be inferred from data collected between 50°C and 150°C. Thermal conductivity increases by 15% to 20% when carbon nanotubes are dispersed. The pressure drop is minimal at 0.5 percent weight fraction, demonstrating the suitability of nanofluids in closed loop systems. The characteristics are forecasted using feed-forward backpropagation method and GRNN, and the best of them is selected for prediction. In this research, hidden layer neurons and factors are examined.


2012 ◽  
Vol 2 (6) ◽  
pp. 166-168 ◽  
Author(s):  
Dr.T.Ch.Madhavi Dr.T.Ch.Madhavi ◽  
◽  
Pavithra.P Pavithra.P ◽  
Sushmita Baban Singh Sushmita Baban Singh ◽  
S.B.Vamsi Raj S.B.Vamsi Raj ◽  
...  

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