Energy Consumption Modeling Of Ceramic Spray Drying Process Based On Helium Balance And Parameter Optimization

In the ceramics industry,energy expenditure accounts for a large part of the company's costs.Spray drying towers have a long production life due to large amounts of equipment.Fuel consumption is high.The level of energy consumption directly affects the company's production costs.However,due to the lack of calculation and evaluation methods for energy consumption and energy efficiency of spray drying production,it is difficult for enterprises to grasp the energy consumption and energy efficiency of production.At the same time,due to the inability to accurately grasp the impact of various variables on the energy efficiency of the equipment,companies are also unable to provide numerous relevant parameters.Accurately determine the key variables affecting dry energy efficiency;and relying on the lack of scientific guidance in the setting of production parameters often leads to energy waste.In this article,according to the spray drying mechanism and the enthalpy balance principle,a spray drying energy model based on helium balance is established.Then the global sensitivity analysis of the production parameters of the spray drying tower is performed.The key parameters of energy consumption are selected according to the sensitivity coefficient of each parameter.Finally,the use of response surface methodology to optimize the key parameters to help production companies better control the production process parameters to achieve the purpose of energy conservation.The specific research work in this paper is as follows:(1)The energy consumption characteristics of the spray drying process and the factors affecting the drying energy consumption are analyzed,the energy composition of the spray drying system is analyzed,the calculation method for the energy consumption of drying is proposed,and the calculation accuracy of the energy consumption model is described.Points.(2)The energy consumption mechanism of the spray drying process was analyzed,and the specific energy consumption model of the spray drying process was established with the energy consumption and specific energy consumption of the drying process as a function of the spray drying mechanism and the enthalpy balance.The results were compared with the actual production data of the company and the accuracy of the model was verified.(3)Using the Sobol's global sensitivity algorithm to perform global sensitivity analysis on the process parameters of the spray drying process,and quantifying the influence of energy consumption and specific energy consumption of each parameter on the sensitivity coefficient of the spray drying,and according to the parameters The sensitivity factor filters out the key parameters affecting energy consumption.(4)Using the response surface methodology to optimize the spray drying process parameters,using the BBD test design method to obtain the samples of the factors to be tested and regression fitting based on the experimental results,obtaining multiple regression equations to establish a response surface model and performing variance analysis to test the model.Adaptability.Finally,according to the response surface model to optimize the optimal parameter combination,and verify the correctness of the optimal parameter combination.