The droplet concentration distribution in an atomizing scrubber was calculated based on droplet eddy diffusion by a three-dimensional dispersion model. This model is also capable of predicting the liquid flowing on the wall. The theoretical distribution of droplet concentration agrees well with experimental data given by Viswanathan et al.1 for droplet concentration distribution in a venturi-type scrubber. The results obtained by the model show a non-uniform distribution of drops over the cross section of the scrubber, as noted by the experimental data. While the maximum of droplet concentration distribution may depend on many operating parameters of the scrubber, the results of this study show that the highest uniformity of drop distribution will be reached when penetration length is approximately equal to one-fourth of the depth of the scrubber. The results of this study can be applied to evaluate the removal efficiency of a venturi scrubber.

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Molecular dynamics simulations and a particle-level mathematical model were used to study the state of charge dependent mechanical and diffusion properties of lithium manganese oxide as a cathode material in Li-ion batteries during electrochemical cycling.

In this work, Cu- and Ni-doped MIL-101 were synthesizedviaa microwave irradiation technique and used as adsorbents for CO2adsorption. The loading of MNPs in MIL-101 showed a beneficial effect on the adsorption capacity and cyclability.

In this study, a comprehensive mathematical model was developed to investigate the simplifying assumptions in modeling of natural gas dehydration by the adsorption process. In the developed model the variations of pressure, velocity, and temperature along the bed and the temperature changes inside the particles were considered. Convective heat and mass transfer were considered outside the particles and a diffusion mechanism was taken into account for the heat and mass transfer inside the particles. A dual site Langmuir model was selected to predict adsorption equilibrium and the Peng-Robinson equation of state was used to calculate the gas compressibility factor. The experimental data of Mohamadinejad et al. [Mohamadinejad, H.; et al. Sep. Sci. Technol. 2000, 35, 1] was used to verify the model. Good agreement was observed between the predictions of the comprehensive model and the experimental data. The results showed that applying the assumptions of uniform temperature distribution inside the pellet (lump method), thermal equilibrium between gas and particles, and isothermal and isobaric conditions had no significant effects on the predictions. It was also concluded that external mass transfer resistance was negligible at the industrial operating conditions of gas dehydration processes and common linear driving force models (LDFs) were not able to predict the performance of the dehydration bed well. Also, a new accurate correlation was introduced for an LDF proportionality coefficient applicable in gas dehydration systems. The predictions based on the proposed correlation were in good agreement with the results of the comprehensive model. Using this new accurate LDF model instead of diffusion model saves a large amount of CPU time without a loss of accuracy.