Comparison of near-infrared spectroscopy and DEM simulations for tracing spatial dispersion of water during mixing  

Comparison of near-infrared spectroscopy and DEM simulations for tracing spatial dispersion of water during mixing

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作  者:Roland Hohl Nicolas Heigl Daniel Koller Charles A. Radeke 

机构地区:[1]Research Center Pharmaceutical Engineering GmbH, lnffeldgasse 13, 8010 Graz, Austria

出  处:《Particuology》2018年第3期94-102,共9页颗粒学报(英文版)

摘  要:The aim of this work was to validate a wet mixing process, in which a liquid spray is used to impregnate particles during mixing. The experimental results obtained using a bladed-mixer with a near-infrared sensor were compared with the results obtained using a 1 : 1 discrete element method simulation. The porous particles used in both cases absorbed the sprayed liquid for a process time of about 18 min. Mul- tiple sensors attached to the mixer wall continuously monitored the liquid contents of passing particles. The sensors were modeled in the simulation and the resulting signals were analyzed and compared with the experimental results. We show that the algorithms used for spray and liquid absorption can be used to predict the moisture distribution inside granular materials in chemical and pharmaceutical processes. Such simulations can help to save money, e.g., in resource-intensive experimental plans and equipment design studies, and by varying material parameters.The aim of this work was to validate a wet mixing process, in which a liquid spray is used to impregnate particles during mixing. The experimental results obtained using a bladed-mixer with a near-infrared sensor were compared with the results obtained using a 1 : 1 discrete element method simulation. The porous particles used in both cases absorbed the sprayed liquid for a process time of about 18 min. Mul- tiple sensors attached to the mixer wall continuously monitored the liquid contents of passing particles. The sensors were modeled in the simulation and the resulting signals were analyzed and compared with the experimental results. We show that the algorithms used for spray and liquid absorption can be used to predict the moisture distribution inside granular materials in chemical and pharmaceutical processes. Such simulations can help to save money, e.g., in resource-intensive experimental plans and equipment design studies, and by varying material parameters.

关 键 词:MIXING DEM SPRAY NEAR-INFRARED PARTICLES 

分 类 号:TQ027.1[化学工程] U270.7[机械工程—车辆工程]

 

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