Simulation Analysis And Optimization Of Solid Particles Separation System For Dangerous Goods Leakage Receiving Vehicle

The dangerous goods storage vehicle studied in this article is a multi-functional storage vehicle specially designed to deal with the leakage accidents of dangerous goods in road transportation.At present,the popular ones are mainly for the liquid and solid particulate dangerous goods in the accident leakage.However,after using the vacuum negative pressure principle to recover the particulate hazardous materials,it is a gas-solid mixture.A slight careless handling of the solid particles by the storage vehicle separation device will cause the hazardous materials to leak again and cause secondary pollution.Therefore,the design and research are high-performance The separation device has extremely important theoretical significance and practical value.In this paper,in order to improve the separation performance of the separator for dangerous goods,the commonly used separation device cyclone separator and the main storage tank are connected in series to form a new two-stage filter,which uses their respective advantages to improve the separation efficiency and reduce the pressure.The goal of reducing and improving separation performance.The specific research content is as follows:(1)Based on the traditional boundary layer theory,the separation efficiency model of the cyclone separator is improved.Compared with the previous theoretical model,it has more advantages in predicting the separation efficiency of the cyclone separator.After adding the dust-containing conditions,the theoretical calculation formula of the pressure drop of the cyclone separator was modified.Compared with the experimental results,the obtained results have little error,which can meet the actual engineering needs of the standard cyclone separator.(2)Based on the response surface method to size optimization of cyclone separator,horizontally by the method of orthogonal regression experimental code value code,and then by central composite experiment method for grouping data,after get grouped data using the FLUENT software to simulate each group model,calculate the separation efficiency and pressure drop,finally by optimizing the software to fit the data analysis,the optimal solution is obtained and compared with the original structure to verify the correctness of the optimization.(3)The model of the original main tank was constructed based on the theory of gravity sedimentation,and it was found that the traditional storage main tank could not effectively separate particles below 20 microns,which would increase the workload of the cyclone separator and cause the cyclone separator to be continuously cleaned.And the storage space for the main tank is not fully utilized.Therefore,a detachable two-stage inertial dust removal device was added to the main storage tank,in order to intercept the small solid particles that could not be separated before in the main storage tank.It can be seen that the separation efficiency is greatly improved after the improvement.Compared with the original main tank,the separation efficiency of 20μm particles has reached nearly 50%.However,there is an increase in airflow pressure loss,which requires a balance between separation efficiency and pressure loss,and multi-objective optimization is performed in the following chapters.(4)The position and size of the baffle inside the main tank were optimized by a multiobjective genetic algorithm to achieve the goal of improving separation efficiency and reducing pressure drop.The optimization results were compared with the simulations of the gas phase and particle phase flow field before optimization,and the particle trajectory was tracked at the same time,and the reasons for the improvement of separation performance were explained.At the same time,the accuracy and applicability of genetic algorithm and optimization results are verified,which provides research directions for future optimization.