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Prediction of Inter-particle Adhesion Force from Surface Energy and Surface Roughness

机译:从表面能和表面粗糙度预测颗粒间的粘附力

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摘要

Fine powder flow is a topic of great interest to industry, in particular for the pharmaceutical industry; a major concern being their poor flow behavior due to high cohesion. In this study, cohesion reduction, produced via surface modification, at the particle scale as well as bulk scale is addressed. The adhesion force model of Derjaguin-Muller-Toporov (DMT) was utilized to quantify the inter-particle adhesion force of both pure and surface modified fine aluminum powders (~8 μm in size). Inverse Gas Chromatography (IGC) was utilized for the determination of surface energy of the samples, and Atomic Force Microscopy (AFM) was utilized to evaluate surface roughness of the powders. Surface modification of the original aluminum powders was done for the purpose of reduction in cohesiveness and improvement in flowability, employing either silane surface treatment or dry mechanical coating of nano-particles on the surface of original powders. For selected samples, the AFM was utilized for direct evaluation of the particle pull-off force. The results indicated that surface modification reduced the surface energy and altered the surface nano-roughness, resulting in drastic reduction of the inter-particle adhesion force. The particle bond number values were computed based on either the inter-particle adhesion force from the DMT model or the inter-particle pull-off force obtained from direct AFM measurements. Surface modification resulted in two to three fold reductions in the Bond number. In order to examine the influence of the particle scale property such as the Bond number on the bulk-scale flow characterization, Angle of Repose (AOR) measurements were done and showed good qualitative agreements with the Bond number and acid/base surface characteristics of the powders. The results indicate a promising method that may be used to predict flow behavior of original (cohesive) and surface modified (previously cohesive) powders utilizing very small samples, and that the surface modification can drastically improve the powder flow for industrially relevant materials.
机译:细粉流动是工业特别是制药工业非常感兴趣的话题。一个主要的问题是由于高内聚性导致其流动性能差。在这项研究中,解决了通过表面改性在颗粒级和整体级上产生的内聚力降低。利用Derjaguin-Muller-Toporov(DMT)的粘附力模型来量化纯铝粉和表面改性的细铝粉(尺寸约8μm)的颗粒间粘附力。反相气相色谱法(IGC)用于确定样品的表面能,而原子力显微镜(AFM)用于评估粉末的表面粗​​糙度。为了降低内聚力和改善流动性,对原始铝粉进行了表面改性,采用硅烷表面处理或对原始粉的表面进行纳米颗粒的干式机械涂覆。对于选定的样品,AFM用于直接评估颗粒的拉拔力。结果表明,表面改性降低了表面能并改变了表面纳米粗糙度,导致颗粒间粘附力急剧降低。基于来自DMT模型的颗粒间粘附力或直接AFM测量获得的颗粒间剥离力来计算颗粒键数值。表面改性导致键数降低两到三倍。为了检查诸如邦德数之类的粒子尺度特性对整体规模流动特性的影响,进行了休止角(AOR)测量,并显示了与邦德数和酸/碱表面特性的良好定性一致性。粉末。结果表明,一种很有前途的方法可用于预测使用非常小的样品的原始(内聚)粉末和表面改性(以前内聚)粉末的流动行为,并且表面改性可大大改善工业上相关材料的粉末流动性。

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