{"title":"玉米混合料在清洗装置上的纵向差异迁移机理及分布行为研究","authors":"Jialiang Zhang , Fengshuang Liu , Jun Fu","doi":"10.1016/j.powtec.2025.121440","DOIUrl":null,"url":null,"abstract":"<div><div>To improve the cleaning performance of maize cleaning devices, the longitudinal migration difference coefficient was selected as the evaluation index for the relative migration behavior between particles. The impurity rate and loss rate were chosen as the indicators for cleaning performance. Computational Fluid Dynamics and Discrete Element Method were used, the effects of airflow velocity, airflow angle, and screen vibration frequency on the relative migration performance of particles in maize mixtures were explored. The correlation between the relative migration performance of maize kernels and impurity particles and the cleaning performance is then determined. The results showed that under vibration frequency conditions, the relative migration performance between particles was strongly correlated with impurity rate and loss rate, with correlation coefficients of −0.91 and 0.93. Under airflow velocity conditions, the corresponding correlation coefficients were − 0.93 and 0.96. These findings provide a new method and technological innovation for improving maize cleaning performance.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"466 ","pages":"Article 121440"},"PeriodicalIF":4.6000,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on the longitudinal differential migration mechanism and distribution behavior of maize multiple mixtures on the cleaning device\",\"authors\":\"Jialiang Zhang , Fengshuang Liu , Jun Fu\",\"doi\":\"10.1016/j.powtec.2025.121440\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>To improve the cleaning performance of maize cleaning devices, the longitudinal migration difference coefficient was selected as the evaluation index for the relative migration behavior between particles. The impurity rate and loss rate were chosen as the indicators for cleaning performance. Computational Fluid Dynamics and Discrete Element Method were used, the effects of airflow velocity, airflow angle, and screen vibration frequency on the relative migration performance of particles in maize mixtures were explored. The correlation between the relative migration performance of maize kernels and impurity particles and the cleaning performance is then determined. The results showed that under vibration frequency conditions, the relative migration performance between particles was strongly correlated with impurity rate and loss rate, with correlation coefficients of −0.91 and 0.93. Under airflow velocity conditions, the corresponding correlation coefficients were − 0.93 and 0.96. These findings provide a new method and technological innovation for improving maize cleaning performance.</div></div>\",\"PeriodicalId\":407,\"journal\":{\"name\":\"Powder Technology\",\"volume\":\"466 \",\"pages\":\"Article 121440\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Powder Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0032591025008356\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Powder Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0032591025008356","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
Study on the longitudinal differential migration mechanism and distribution behavior of maize multiple mixtures on the cleaning device
To improve the cleaning performance of maize cleaning devices, the longitudinal migration difference coefficient was selected as the evaluation index for the relative migration behavior between particles. The impurity rate and loss rate were chosen as the indicators for cleaning performance. Computational Fluid Dynamics and Discrete Element Method were used, the effects of airflow velocity, airflow angle, and screen vibration frequency on the relative migration performance of particles in maize mixtures were explored. The correlation between the relative migration performance of maize kernels and impurity particles and the cleaning performance is then determined. The results showed that under vibration frequency conditions, the relative migration performance between particles was strongly correlated with impurity rate and loss rate, with correlation coefficients of −0.91 and 0.93. Under airflow velocity conditions, the corresponding correlation coefficients were − 0.93 and 0.96. These findings provide a new method and technological innovation for improving maize cleaning performance.
期刊介绍:
Powder Technology is an International Journal on the Science and Technology of Wet and Dry Particulate Systems. Powder Technology publishes papers on all aspects of the formation of particles and their characterisation and on the study of systems containing particulate solids. No limitation is imposed on the size of the particles, which may range from nanometre scale, as in pigments or aerosols, to that of mined or quarried materials. The following list of topics is not intended to be comprehensive, but rather to indicate typical subjects which fall within the scope of the journal's interests:
Formation and synthesis of particles by precipitation and other methods.
Modification of particles by agglomeration, coating, comminution and attrition.
Characterisation of the size, shape, surface area, pore structure and strength of particles and agglomerates (including the origins and effects of inter particle forces).
Packing, failure, flow and permeability of assemblies of particles.
Particle-particle interactions and suspension rheology.
Handling and processing operations such as slurry flow, fluidization, pneumatic conveying.
Interactions between particles and their environment, including delivery of particulate products to the body.
Applications of particle technology in production of pharmaceuticals, chemicals, foods, pigments, structural, and functional materials and in environmental and energy related matters.
For materials-oriented contributions we are looking for articles revealing the effect of particle/powder characteristics (size, morphology and composition, in that order) on material performance or functionality and, ideally, comparison to any industrial standard.