• Journal of Institute of Convergence Technology
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• v.1 no.1
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• pp.41-47
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• 2011

With the world-wide demand on the emission minimization, the needs on the diesel aftertreatment devices with high efficiency are also increasing. In order to effectively develop or design a high-performance diesel particulate filter, a clear understanding on the deposition and regeneration mechanism is required. In the present study, a theory on the lumped parameter model for wall-flow type diesel particulate filters is described focusing on the deposition efficiency, pressure drop inside the filter. The fourth order explicit Runge-Kutta method is utilized for the mass flow rate computation. Engine operation modes with controlled and uncontrolled regeneration options are selected. The computational lumped parameter model is validated by comparing the computed results with the measured data.

• Current Research on Agriculture and Life Sciences
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• v.8
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• pp.95-106
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• 1990

The most important factors among extraction conditions in the extraction process of Barley and Casia tora seed are particle size, extraction temperature, time and initial concentration. In this research project, then, the amounts of extracted materials were measured at various conditions of above factors. They were increased as the particle sizes were decreased and were also increased in the proportional to the value of square of temperature. General mathematical prediction models were developed by an optimization technique for the amounts of extracted materials and extraction rate on the basis of each independent factor. Then, the final prediction model was obtained upon all the factors. As the results, it was also found that the values of overall mass transfer coefficients were increased as the particle sizes were decreased.