Dynamic evolution of the particle size distribution in suspension polymerization reactors: A comparative study on Monte Carlo and sectional grid methods

2008 ◽  
Vol 86 (5) ◽  
pp. 924-936 ◽  
Author(s):  
Vassilis Saliakas ◽  
Costas Kotoulas ◽  
Dimitris Meimaroglou ◽  
Costas Kiparissides
Keyword(s):  
Particle Size ◽  
Monte Carlo ◽  
Particle Size Distribution ◽  
Comparative Study ◽  
Size Distribution ◽  
Suspension Polymerization ◽  
Dynamic Evolution

Comparative Study of the Synthesis Condition for Orthodontic Polymethylmethacrylate Powder

2014 ◽  
Vol 1025-1026 ◽  
pp. 792-796
Author(s):  
Pitchaya Roongrujimek ◽  
Tassanaporn Saen-Isara ◽  
Sirasa Yodmongkol ◽  
Surachai Dechkunakorn ◽  
Niwat Anuwongnukroh ◽  
...  
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Comparative Study ◽  
Size Distribution ◽  
Suspension Polymerization ◽  
Agitation Speed ◽  
Experimental Results ◽  
Synthesis Condition ◽  
Pmma Powder

The aim was to investigate particles of poly (methylmethacrylate)(PMMA) prepared by suspension polymerization using different concentration of a stabilizer and by varying of the agitation speed at 300, 400, and 500 rpm. Particle size distribution (PSD), and morphology of the PMMA powders were observed and compared with commercial orthodontic PMMA powder. The experimental results indicated that the increasing the agitation speed tends to decrease the particles size at 0.08 wt % stabilizer.

The comparative study of particle size distribution in magnetic fluids

2002 ◽  
Vol 52 (S1) ◽  
pp. A281-A284 ◽  
Author(s):  
M. Timko ◽  
P. Kopčanský ◽  
M. Koneracká ◽  
A. Skumiel ◽  
M. Labowski ◽  
...  
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Comparative Study ◽  
Size Distribution ◽  
Magnetic Fluids ◽  
The Comparative Study

scholarly journals Monte Carlo simulation for soot dynamics

2012 ◽  
Vol 16 (5) ◽  
pp. 1391-1394 ◽  
Author(s):  
Kun Zhou
Keyword(s):  
Particle Size ◽  
Monte Carlo ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Gas Phase ◽  
Volume Fraction ◽  
Soot Formation ◽  
Bimodal Distribution ◽  
Number Density ◽  
Stochastic Error

A new Monte Carlo method termed Comb-like frame Monte Carlo is developed to simulate the soot dynamics. Detailed stochastic error analysis is provided. Comb-like frame Monte Carlo is coupled with the gas phase solver Chemkin II to simulate soot formation in a 1-D premixed burner stabilized flame. The simulated soot number density, volume fraction, and particle size distribution all agree well with the measurement available in literature. The origin of the bimodal distribution of particle size distribution is revealed with quantitative proof.

scholarly journals Comparative study of properties of different pesticide formulations of the same active ingredient

2008 ◽  
Vol 23 (3) ◽  
pp. 201-206
Author(s):  
Slavica Gasic ◽  
Zlatko Oreskovic
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Comparative Study ◽  
Size Distribution ◽  
Active Ingredient ◽  
Oil In Water ◽  
Pesticide Formulations ◽  
Final Estimate ◽  
New Formulation ◽  
Emulsion Oil

Characteristics of two formulations of trifluralin, an emulsifiable concentrate (EC) and emulsion, oil in water (EW), the latter being a new formulation of our design, were investigated and compared. Attention was focused on particle size distribution and aspects of the two aqueous dilute formulations as the most characteristic and comparable parameters. The results show that the trifluralin EW formulation has certain advantages over the EC formulation, but a final estimate will be possible only after testing biological efficacy of the new formulation (EW).

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