纳米流体
水合物
动力学
氢氧化物
化学
动能
化学工程
材料科学
无机化学
纳米颗粒
有机化学
纳米技术
量子力学
物理
工程类
作者
Ayaj Ahamad Ansari,Randeep Ravesh,Samarshi Chakraborty,Pradipta Kumar Panigrahi,Malay K. Das
标识
DOI:10.1002/ceat.202200502
摘要
Abstract The effects of a hybrid nanofluid (Cu‐Al layered double hydroxide (LDH)) on the CO 2 hydrate formation kinetics was investigated at three different nanofluid concentrations (0.25–1.0 wt %). The Cu‐Al LDH nanofluid was prepared using a one‐step co‐precipitation technique. The addition of the LDH nanofluid reduces the induction time and enhances the hydrate formation kinetics. The maximum reduction in the induction time (by 91.08 %) was observed at the optimal nanofluid concentration of 0.5 wt %, compared to water. A chemical affinity model was implemented to predict the experimental data for CO 2 hydrate formation in the presence of the different LDH nanofluid concentrations. An artificial neural network‐based Levenberg‐Marquardt model predicts the experimental data with higher accuracy than the scaled conjugate gradient model. The results indicate a strong dependency of the hydrate formation kinetics on the LDH nanofluid concentrations.
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