| With the expansion of airport construction in China and the frequent occurrence of blizzard weather,especially in most northern and cold regions of China,the flight caused by snowfall are getting worse and worse.The unrespomsive and incomplete snow removal turns into a worldwide problem.During the "13th Five-Year Plan" period,the total number of newly built and newly built airports in the country reached 260,of which about half of the airports affected by snowfall.The Thirteenth Five-Year Plan for the Development of China’s Civil Aviation requires that the normal rate of flights be up to 80%by 2020.In order to respond to the clear requirements in the "Planning",improve the on-site disposal capacity of the airport,and integrate the snow removal requirements of modern airport development,it is of great significant to make a fast and efficient airport multi-purpose snow removal vehicle.In this paper,the multifunctional snow removal vehicle blowing device is taken as the research object,the multi-phase flow method is used to research the flow field flow characteristics and the snow blowing efficiency;To achieve the goal of efficient and rapid snow removal for snow removal vehicles,the structure is optimized based on genetic algorithm and neural network.The main research contents of the thesis include:(1)General structure and parameter design of the blowing device.Establish a mathematical model of the flow field of the blower;design the overall structure and parameters of the blower system,determine the assembly plan;select the fan model,and design the structure and parameters of the main components of the blower.(2)Analysis of flow field dynamics characteristics of the blowing device.The numerical simulation model of the blowing device is established,and the flow field in the flow channel is numerically simulated to analyze the dynamic characteristics of the flow field.(3)Analysis of structural dynamics characteristics of the blowing device.The unidirectional and bidirectional fluid-solid coupling methods are used to analyze the dynamics of the flow channel structure,and check the strength and stiffness are checked.The structural modes of the blowing device under the working and non-working conditions are studied.At last,a comparative analysis of the flow field and structural dynamics of the different coupling methods will be done.(4)Analysis of snow characteristics and flow characteristics of two phases of blowing snow.The snow characteristics of different states were studied,the physical parameters of snow particles in numerical simulation were selected,and the mathematical model of the snow blowing process was established.The gas-solid two-phase flow method was used to study the flow characteristics of the two-phase flow field.Do the dynamic simulation of the snow blowing process when the multi-purpose snow removal vehicle blast system works alone.Study the distribution and motion law of snow particles in space.(5)Optimization of structure and parameters of the blowing device.Based on the genetic algorithm and neural network,the parameters of the pipe structure,the installation position of the bottom sealing plate and the height of the ground which are influencing the internal flow field of the flow channel are optimized.The comparative analysis of distribution and motion law of the snow particles in the space before and after optimization are done.The dynamic mesh technology is used to analyze the snow blowing effect of the blast system working alone when the snowmobile is running.Calculate its best working speed and snow blowing efficiency. |
