Minmin zhou
University of Utah, Chemical Engineering, Graduate Student
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Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
ABSTRACT Partner selection is a critical problem in organizing virtual enterprises according to 3 main indexes of cost, credit degree and make span provided by the candidates. An improved genetic algorithm (AGA) with total fitness... more
ABSTRACT Partner selection is a critical problem in organizing virtual enterprises according to 3 main indexes of cost, credit degree and make span provided by the candidates. An improved genetic algorithm (AGA) with total fitness ranking-based selection and adaptive operator is presented. Selection based on total fitness ranking make multi-objective problem several single- objective optimizations, insures rational interval between individuals and avoids premature convergence. Crossover and mutation operator are adjusted according to the fitness and iterative degree. Thus, each individual owns the ability of self-adaptation with the variation of environment. The simulated results verified the effectiveness of AGA.
Research Interests:
Pulverized coal generally features wide particle‐size distributions (PSD). How to set an initial PSD in coal combustion simulation remains an open question. To answer this, the Gaussian‐quadrature theory was applied to provide a discrete... more
Pulverized coal generally features wide particle‐size distributions (PSD). How to set an initial PSD in coal combustion simulation remains an open question. To answer this, the Gaussian‐quadrature theory was applied to provide a discrete reconstruction of the PSD described by Rosin‐Rammler and Upper‐Limit functions. From the perspective of the moments of PSD, a theoretical analysis was conducted for mass, momentum, and energy exchange terms between gas and particle phases in pulverized coal jet flame. The analysis presented that the first, the second and the third moments of PSD were the most important to capture the flame ignition behavior. The large eddy simulations showed that the proposed method with two or more particle sizes could provide good predictions of flame ignition distances. And Sauter mean diameter (D32) could represent the complete PSD when predicting the ignition behavior of pulverized coal jet flame.