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  • 标题:A New Perspective to Tribocharging: Could Tribocharging Lead to the Development of a Non-Destructive Approach for Process Monitoring and Quality Control of Powders?
  • 本地全文:下载
  • 作者:Hadi Mehrtash ; Dinara Konakbayeva ; Solmaz Tabtabaei
  • 期刊名称:Foods
  • 电子版ISSN:2304-8158
  • 出版年度:2022
  • 卷号:11
  • 期号:5
  • DOI:10.3390/foods11050693
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:This study explores a new perspective on triboelectrification that could potentially lead to the development of a non-destructive approach for the rapid characterization of powders. Sieved yellow pea powders at various particle sizes and protein contents were used as a model system for the experimental charge measurements of the triboelectrified powders. A tribocharging model based on the prominent condenser model was combined with a Eulerian–Lagrangian computational fluid dynamics (CFD) model to simulate particle tribocharging in particle-laden flows. Further, an artificial neural network model was developed to predict particle–wall collision numbers based on a database obtained through CFD simulations. The tribocharging and CFD models were coupled with the experimental tribocharging data to estimate the contact potential difference of powders, which is a function of contact surfaces’ work functions and depends on the chemical composition of powders. The experimentally measured charge-to-mass ratios were linearly related to the calculated contact potential differences for samples with different protein contents, indicating a potential approach for the chemical characterization of powders.
  • 关键词:entribochargingrapid characterizationcomputational fluid dynamics (CFD)artificial neural network (ANN)
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