水溶性博格流体的制备和流变特性分析

IF 2.218 Q2 Chemistry
Amanjot Kaur, Amit Sobti, Ravinder Kumar Wanchoo
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引用次数: 0

摘要

这项研究的主要重点是制备和表征水溶性 Boger 流体,因为它们具有更好的处理特性。在体积分数为 80% 的甘油和 20% 的蒸馏水混合物中制备的聚丙烯酰胺浓度范围为 0.02-0.05%(重量/体积)。动态和稳定剪切数据的温度范围为 15-35°C。剪切模式数据被拟合到幂律模型中,以计算流动稠度指数(K)和流动行为指数(n)。随着 PAA 浓度的增加,流体特性从 Boger 变为剪切稀化粘弹性流体。通过将振荡数据拟合到四元素麦克斯韦模型,计算出了流体弛豫时间(λ)。通过同时考虑聚合物浓度和温度的影响,提出了预测 K、n 和 λ 的经验方程。所提供的数据对处理博格流体的固定床和流化床等单元操作非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preparation and Rheological Characterization of Water-Soluble Boger Fluids

The primary focus of the study is to prepare and characterize water-soluble Boger fluids as they offer improved handling characteristics. The fluids have been prepared in the concentration range of 0.02–0.05 % (wt/vol.) Polyacrylamide (PAA) in a mixture of 80 % glycerol and 20 % distilled water by volume. Dynamic and steady shear data are represented in the temperature range of 15–35 °C. The shear mode data were fitted to power law model to calculate the flow consistency index (K) and flow behavior index (n). With increase in PAA concentration, the fluid character shifts from Boger to shear thinning viscoelastic fluid. Fluid relaxation time (λ) was calculated by fitting the oscillatory data to four mode Maxwell model. Empirical equations for the prediction of K, n, and λ are proposed by incorporating simultaneous effect of polymer concentration and temperature. Presented data could be of great use in unit operations such as fixed and fluidized beds dealing with Boger fluids.

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来源期刊
Chemical Data Collections
Chemical Data Collections Chemistry-Chemistry (all)
CiteScore
6.10
自引率
0.00%
发文量
169
审稿时长
24 days
期刊介绍: Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.
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