The Effect of Cerium Oxide Nano Particles Fuel Additive on Performance, Combustion, NOx Reduction and Nano Particle Emission of Karanja and Jatropha Biodiesel in a Military 585 kW CIDI Engine

2019 ◽  
Author(s):  
Anand Kumar Pandey ◽  
Milankumar Nandgaonkar ◽  
S Suresh ◽  
Anil Varghese
Keyword(s):  
Cerium Oxide ◽  
Nox Reduction ◽  
Particle Emission ◽  
Nano Particles ◽  
Fuel Additive ◽  
Nano Particle

Numerical Simulation for Microconvection Around Nano-Particle With Brownian Motion in Liquid

2003 ◽  
Author(s):  
B. X. Wang ◽  
H. Li ◽  
X. F. Peng ◽  
L. X. Yang
Keyword(s):  
Heat Transfer ◽  
Numerical Simulation ◽  
Brownian Motion ◽  
Numerical Model ◽  
Temperature Gradient ◽  
Transfer Process ◽  
Heat Transfer Process ◽  
Nano Particles ◽  
Analytic Method ◽  
Nano Particle

The development of a numerical model for analyzing the effect of the nano-particles’ Brownian motion on the heat transfer is described. By using the Maxwell velocity distribution relations to calculate the most possible velocity of fluid molecules at certain temperature gradient location around the nano-particle, the interaction between fluid molecules and one single nano-particle is analyzed and calculated. Based on this, a syntonic system is proposed and the coupled effect that Brownian motion of nano-particles has on fluid molecules is simulated. This is used to formulate a reasonable analytic method, facilitating laboratory study. The results provide the essential features of the heat transfer process, contributed by micro-convection to be considered.

scholarly journals Modification and Improvement of Fe3O4-Embedded Poly(thiophene) Core/Shell Nanoparticles for Cadmium Removal by Cloud Point Extraction

2020 ◽  
Vol 1 (1) ◽  
pp. 20-27
Keyword(s):  
Aqueous Solution ◽  
Cloud Point ◽  
Cloud Point Extraction ◽  
Calibration Graph ◽  
Nano Particles ◽  
Extraction Time ◽  
Ionic Surfactant ◽  
Nano Particle ◽  
Cadmium Removal ◽  
Shell Nanoparticles

Cloud Point Extraction (CPE) as an effective method for pre-concentration and separation of cadmium from aqueous solution is widely utilized. This study involves a surfactant mediated CPE procedure in order to remove cadmium from waste water using Polythiophene nanoparticle and Triton X- 100 as a non – ionic surfactant. Polythiophene – coated iron nanoparticles was successfully synthesized with novel method and as a super magnetic nano-particles (MNPs) for cadmium removal from aqueous solution was evaluated. Polythophene nano-particles emulsifying method have been synthesized and fabricated. Fabricated nano-particle was characterized by Fourier-transform infrared spectroscopy (FTIR), and analysed transmission electron microscopy (SEM). Effects of pH, buffer volume, extraction time, temperature, amount of nano-particle were essentially investigated. To reach in optimum conditions, related experiments were replicated and accomplished as well. For removal of cadmium by CPE approach the optimization conditions were gained at pH = 7 , volume of buffer acid 1.5 millilitre , electrolyte concentration (NaCl) of 10 -3 mole L-1 , Trinton concentration 5 %, cloud point temperature 80 0 C , extraction time 40 minutes, and 5 mg of modified polythiophene nano-particle. The calibration graph was liner with a correlation coefficient of 0. 9984 and represents appropriate liner correlation with an amount and concentration. The results revealed that 5 gram of modified nanoparticle can significantly increase the efficiency of cadmium removal.

3D Measurements of Nano-Particle Transport in Complex 2.5D Micro-Models

2015 ◽  
Author(s):  
Jagannath Upadhyay ◽  
Daniel S. Park ◽  
Karsten E. Thompson ◽  
Dimitris E. Nikitopoulos
Keyword(s):  
Particle Velocity ◽  
Particle Transport ◽  
Three Dimensional ◽  
Laser Scanning Microscopy ◽  
Nano Particles ◽  
Confocal Laser ◽  
Nano Particle ◽  
Micro Model ◽  
Micro Particle Image Velocimetry

A confocal Micro-Particle Image Velocimetry (C-μPIV) technique along with associated post image processing algorithms is established to quantify three dimensional distributions of nano-particle velocity and concentration at the micro-scale (pore-scale) in 2.5D porous media designed from a Boise rock sample. In addition, an in-situ, non-destructive method for measuring the geometry of the micro-model, including its depth, is described and demonstrated. The particle experiments use 900 nm fluorescence labeled polystyrene particles at a flow rate of 10 nLmin−1 and confocal laser scanning microscopy (CLSM), while in-situ geometry measurements use regular microscope along with Rhodamine dye and a depth-to-fluorescence-intensity calibration. Image post-processing techniques include elimination of background noise and signal from adsorbed nano-particle on the inner surfaces of the micro-model. In addition, a minimization of depth of focus technique demonstrates a capability of optically thin slice allowing us to measure depth wise velocity in 2.5D micro-model. The mean planar components of the particle velocity of the steady-state flow and particle concentration distributions were measured in three dimensions. Particle velocities range from 0.01 to 122 μm s−1 and concentrations from 2.18 × 103 to 1.79 × 104 particles mm−2. Depth-wise results show that mean velocity closer to the top wall is comparatively higher than bottom walls, because of higher planar porosity and smooth pathway for the nano-particles closer to the top wall. The three dimensional micro-model geometry reconstructed from the fluorescence data can be used to conduct numerical simulations of the flow in the as-tested micro-model for future comparisons to experimental results after incorporating particle transport and particle-wall interaction models.

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