کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
234923 465620 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A new segregation index for solid multicomponent mixtures
ترجمه فارسی عنوان
شاخص جداسازی جدید برای مخلوط جامد چند منظوره
کلمات کلیدی
مخلوط کردن، جداسازی، شاخص مخلوط کردن، شاخص جداسازی، مخلوط دوتایی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
چکیده انگلیسی


• A novel segregation set of indices is developed and tested.
• The new set allows the evaluation of the distribution pattern along the bed.
• A new classification criterion for the segregation profiles is proposed.
• The performance of the new set of indexes is compared against existing indexes.
• The new set of indexes is independent of the experimental procedure used.

Several indices can be found in the literature in order to quantify the mixing degree of two component mixtures in fluidized beds, but none of them is actually capable of describing how a specific component of the mixture is distributed. Many of these indices may be influenced by the experimental procedure used for evaluating the mixture, such as the number of vacuumed layers, or equivalently the layer thickness, since the solids distribution is generally measured in layers (or at most in cells) and not in a continuous way along the bed. In the present work, a novel set of indices for studying segregation is proposed: the Three Thirds Segregation Indices Set, is developed allowing the characterization of not only the segregation level, but also the segregation pattern of a specific component of interest. The set is also compared, tested and validated with other existing indices (M index by Rowe et al. (1972) and “s” index by Goldscmidt et al. (2003)), and experimentally verified. As a result of these tests, it is found that M and “s” indices do not allow the comparison of experiments performed with different numbers of layers, and they do not distinguish different segregation profiles leading to some mistakes when in the proximity to the extreme cases (Full Central or Full Bottom segregation). On the opposite, the new set of indices turns out to be independent on the number of layers, and to minimize experimental errors or the discrepancies caused by applying different experimental procedures.

Segregation level and different segregation patterns recognized by the new segregation indices set.Figure optionsDownload as PowerPoint slide

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Powder Technology - Volume 299, October 2016, Pages 77–86
نویسندگان
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