Corn is an important food crop in China and has high nutritional value.However,in the process of drying and transporting corn,it is unavoidable that impurities will be mixed in,especially corn mildewing during stock,which will seriously affect the quality of corn and endanger people’s health.Therefore,before the corn is eaten,the moldy grains and Impurities must be cleaned up.The current corn cleaning process includes various methods such as vibrating and sieving,and wind separation and impurity removal.However,since the shape and specific gravity of the moldy grains are very close to those of normal grains,the vibratory screening and air separation are not effective and can not satisfy the high efficiency of corn processing plants.High quality requirements.In view of the difference in the color of moldy grains and normal grains,the color selection process shows its unique advantages.It is against this background that the development of high-efficiency corn color sorters has emerged.To this end,the author first investigated the development status and characteristics of different brands of color sorters at home and abroad,introduced the sorting mechanism of color sorters,and used existing color sorter prototypes as a reference to establish corn using 3D modeling software Solidworks.The physical model of the color sorter describes the various constituent systems of the color sorter in detail,then analyzes the main factors affecting the sorting effect of the corn color sorter,and establishes the research object of the subject.Then,through the combination of theoretical analysis,computer simulation and experiment,the optimal operating parameters of the corn color sorter were configured to provide reference for the development and development of the corn color sorter in the future.The main work of this article is as follows:(1)The solid model of the corn color sorter was created using Solidworks,a three-dimensional modeling software,to analyze the main influencing factors of the sorting effect of the corn color sorter,and to analyze theoretically the force and movement state of the corn particles on the chute and the sorting area.(2)Discrete element simulation software EDEM was used to establish a solid model of corn granules.The simplified color sorter chute model was introduced into it.According to the output of the color sorter and the real-time performance of sorting,different working condition parameters were set for corn granules.The flow state on the chute is analyzed,and then the EDEM post-processing module is used to intercept the curve of the speed,trajectory,etc.of the corn particles over time,and the simulation results are compared and analyzed to obtain the optimal feed flow and the slope angle of the chute.Optimize and improve the output design and blanking speed of the color sorter.(3)The dedusting airflow in the sorting area will affect the movement of the corn particles.Therefore,the model of the sorting area is extracted,and the fluid dynamic state of the airflow field in the sorting area is simulated and analyzed with the fluid dynamics software Fluent and combined with the actual test.The dust removal wind speed in the sorting area with the best effect,that is,in the case of small influence on the trajectory of the particle,is the best distribution of the airflow field in the airflow field,providing a reference for the optimization of the dust removal system in the sorting area;The glass surface of the visual field of the detection box is designed to develop a set of cleaning brush system to regularly clean the dust adsorbed on the glass surface of the box,so that the collection of the particle image signal is more accurate. |