Taguchi and ANOVA analysis for the optimization of the microencapsulation of a volatile phase change material
Taguchi and ANOVA analysis for the optimization of the microencapsulation of a volatile phase change material
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DOI：
10.1016/j.jmrt.2021.01.025
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发表时间：
2021-01-31
影响因子：
6.4
通讯作者：
Li, Yongliang
中科院分区：
文献类型：
--
作者：
Mustapha, Abdullah Naseer;Zhang, Yan;Li, Yongliang
挥发性相变材料的微胶囊化是低温储能领域的一个重要且具有挑战性的研究领域。我们之前的研究已经有效地解决了长期保持挥发性核心的挑战，并表明所获得的聚脲-甲醛微胶囊的质量受各种工艺参数的影响很大，包括反应温度、初始pH、反应时间和均质速度。本文利用田口正交表对可控工艺参数进行优化，以确定协同作用最大的组合，以最大化有效载荷、产量和包封率。田口信噪比结果表明，最有效的参数组合是反应时间3h，pH值3.5，反应温度55℃，均质速度1200rpm。在此参数组合下，得到了载药量为95.2%、产率为30.5%、包封率为71.1%的微囊。此外，还利用方差分析(ANOVA)证明了四个可控工艺参数中每一个对有效载荷、产量和包封率的贡献的平均响应值(贡献率)。总体而言，温度的影响最大，贡献率为83.1%，其次是pH值为6.8%，反应时间为5.2%，均质速度为4.9%。这项工作中的这些发现为最大化配方条件的产量提供了基本的见解，而配方条件的产出反过来又旨在将生产微胶囊的时间和成本降至最低。(C)2021年提交人。爱思唯尔出版公司(Elsevier B.V.)
The microencapsulation of volatile phase change materials is an important and challenging area for low-temperature thermal energy storage. Our previous studies have effectively addressed the challenge of long-term volatile core retention and also indicated that the quality of the obtained poly(urea-formaldehyde) microcapsules is highly affected by various process parameters, including reaction temperature, initial pH, reaction time, and homogenization speed. In this paper, the Taguchi orthogonal array has been employed to optimise controllable process parameters to identify the most synergistic combination, in order to maximise the payload, yield, and encapsulation efficiency. The Taguchi signal-to-noise ratio results substantiated that the most efficient combination of parameters was 3 h reaction time, pH 3.5, 55 degrees C reaction temperature, and 1200 rpm homogenization speed. With this combination of parameters, microcapsules with superbly high payload of 95.2%, as well as a yield of 30.5% and encapsulation efficiency of 71.1% were amalgamated. In addition, Analysis of Variance (ANOVA) was also utilised to demonstrate the mean response magnitudes (% contribution) of each of the four controllable process parameters, in terms of contribution for the payload, yield, and encapsulation efficiency. Overall, it was indicated that the temperature is the most influential parameter at 83.1% contribution, followed by pH at 6.8%, reaction time at 5.2%, and homogenization speed at 4.9%. Such findings in this work postulate the fundamental insights into maximising the output of the formulation conditions, which in turn is aimed to minimise the time and cost of production of the microcapsules. (C) 2021 The Authors. Published by Elsevier B.V.