Energy Efficiency Optimization Of Spray Drying Tower Based On Improved Bat Algorithm

In the ceramic preparation process,a large amount of energy resources are required,so it is very important for the enterprise to take appropriate measures to reduce the energy consumption of various devices.As the core equipment for wet milling,the spray drying tower not only runs for a long time,but also consumes very high energy.The spray drying process is a process of atomizing-drying-filtering and sedimenting the raw material liquid,and the purpose thereof is mainly to obtain a dried product having a very low water content.Although the current enterprises urgently want to reduce the energy consumption of spray drying,they are suffering from the lack of calculation and evaluation methods for the energy efficiency of spray drying production.It is difficult to grasp the energy efficiency of production,and it is difficult to determine whether it will be changed under the premise of changing production factors.Reduce product quality.If you rely on past experience and lack scientific guidance when setting production parameters,it often results in waste of energy.In order to provide scientific guidance for the energy efficiency evaluation of the spray drying process,thesis establishes an energy consumption optimization model under the dry mass constraint with the droplet retention time and evaporation time as independent variables by analyzing the spray drying mechanism.Then the improved bat algorithm is used to solve the model.Finally,the MATLAB simulation platform is used to construct the energy-saving simulation system of the ceramic spray drying tower.The main research contents of thesis are listed below:(1)Taking the analysis of the structure and process characteristics of the ceramic spray drying tower as the entry point,the heat balance of the equipment was studied,and the energy consumption model was constructed to analyze the key parameters affecting the energy efficiency of the equipment.(2)Research on the movement process of the droplets: Firstly,by analyzing the structural characteristics of the nozzle atomizer,the speed at which the droplets are ejected from the nozzle atomizer is determined.The movement of the droplets from the nozzle atomizer is mainly affected by the airflow in the tower.Combined with the force analysis of the droplets,the average residence time of the droplets in the tower is determined.(3)Research on the evaporation process of the droplets: For the ceramic spray drying process,the droplets contain insoluble solids,so the evaporation process of the droplets is more complicated than the pure droplets.According to the evaporation characteristics of the insoluble solid droplets,the evaporation process of the droplets is divided into a constant rate process and a descending rate process,and the average evaporation time of the droplet drying is obtained by adding the time consumed by the two processes.(4)The bat algorithm is a new algorithm,which is characterized by high effectiveness,high accuracy and few adjustment parameters.Therefore,it is suitable for solving the problems raised in thesis,but it also has many problems.For example,the final result may be a local optimal solution or a slow convergence of the calculation process.In order to overcome these problems,the thesis firstly performs chaotic initialization on the population to enhance the diversity of the population,thus improving the quality of the initial solution.Secondly,it adds the local search strategy of the fusion cross operation to accelerate the convergence speed of the algorithm.Finally,the variation is adopted.Strategies to maintain population diversity and avoid the emergence of local optimal solutions.Combined with the analysis of Chapter 2 and Chapter 3,the energy optimization model under the dry mass constraint with the droplet retention time and evaporation time as independent variables is used to optimize the model results and obtain the best production.Combination of parameters.Then compare it with the actual production data,and finally we can clearly find that under the premise of ensuring the output and quality of the product,the energy efficiency of the equipment has been greatly improved.(5)The MATLAB software was used to package and implement the energy efficiency parameter optimization model of the spray drying tower based on the improved bat algorithm.The energy efficiency optimization system of the spray drying tower was developed to facilitate the use and promotion of the model in actual production.