Fuel-Appropriate Distribution of the Material Layer Based on Numerical Model of Sintering with Particle Swarm Optimization Algorithm
نویسندگان
چکیده
An optimization model for the fuel distribution of material layer with mechanism models and algorithms is presented, which can reduce ratio ore blending enhance content in upper to improve homogeneity sinter quality. The actual analyzed through granulation theoretical each unit obtained using numerical model. Then, particle size composition segregation characteristics are optimized via swarm algorithm bring close value, a sum their absolute values 0.025. In comparison initial conditions, conforms normal increased coarse particles, deviation granules from vertical direction decreases. Through this method, bed ideal thermal profile be achieved, namely uniform sintering along reduced coke ratio.
منابع مشابه
Optimization of Distribution Route Selection Based on Particle Swarm Algorithm
This paper mainly discusses the application of the particle swarm optimization in logistics distribution routing problems. Combining with the characteristics of logistics and distribution, it established a mathematical model of the distribution routing problem. Introducing three kinds of optimization strategies in the particle swarm optimization to optimize the particle swarm algorithm, constru...
متن کاملthe use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach
abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...
15 صفحه اولResearch of Blind Signals Separation with Genetic Algorithm and Particle Swarm Optimization Based on Mutual Information
Blind source separation technique separates mixed signals blindly without any information on the mixing system. In this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. In these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. In order to evalu...
متن کاملResearch of Blind Signals Separation with Genetic Algorithm and Particle Swarm Optimization Based on Mutual Information
Blind source separation technique separates mixed signals blindly without any information on the mixing system. In this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. In these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. In order to evalu...
متن کاملZ- Source Inverter Based On Sample Boost Optimized With Particle Swarm Optimization (PSO) Algorithm
In this paper optimal torque control (OTC) of stand-alone variable-speed small-scale wind turbine equipped with a permanent magnet synchronous generator and a switch- mode rectifier is presented. It is shown that with OTC method in standalone configuration, power coefficient could be reached to its maximum possible value, i.e. 0.48. An appropriate control algorithm based on turbine characterist...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Minerals
سال: 2023
ISSN: ['2075-163X']
DOI: https://doi.org/10.3390/min13040511