Development of polymer derived carbon coated monolith for liquid adsorption application by response surface methodology

The preparation of polymer derived activated carbon coated monolith is reported. The response surface methodology based on Box–Behnken design is used to find the optimal condition for synthesis of mesoporous carbon. The dominant parameters identified are the carbonization temperature, concentration, and molecular weight of pore former agent. Typical values for BET surface area are 341 m²/g _carbon and 20 m²/g _{supported carbon} with pores size distribution in the range of 4–400 nm. The highest pore volume obtained is 182.77 mm³/g _{supported carbon}.     

Investigation of detailed kinetic scheme performance on modelling of turbulent non-premixed sooting flames

This paper presents the results of an application of a first-order conditional moment closure (CMC) approach coupled with a semi-empirical soot model to investigate the effect of various detailed combustion chemistry schemes on soot formation and destruction in turbulent non-premixed flames.A two-equation soot model representing soot particle nucleation,growth,coagulation and oxidation,was incorporated into the CMC model.The turbulent flow-field of both flames is described using the Favre-averaged fluid-flow equations,applying a standard k-ε turbulence model.A number of five reaction kinetic mechanisms having 50-100 species and 200-1000 elementary reactions called ABF,Miller-Bowman,GRI-Mech3.0,Warnatz,and Qin were employed to study the effect of combustion chemistry schemes on soot predictions.The results showed that of various kinetic schemes being studied,each yields similar accuracy in temperature prediction when compared with experimental data.With respect to soot prediction,the kinetic scheme containing benzene elementary reactions tends to result in a better prediction on soot concentrations in comparison to those contain no benzene elementary reactions.Among five kinetic mechanisms being studied,the Qin combustion scheme mechanism turned to yield the best prediction on both flame temperature and soot levels.