Taguchi and ANOVA analysis for the optimization of the microencapsulation of a volatile phase change material

Research output: Contribution to journalArticlepeer-review

Standard

Taguchi and ANOVA analysis for the optimization of the microencapsulation of a volatile phase change material. / Mustapha, Abdullah; Zhang, Yan; Zhang, Zhibing; Ding, Yulong; Yuan, Qingchun; Li, Yongliang.

In: Journal of Materials Research and Technology, Vol. 11, 03.2021, p. 667-680.

Research output: Contribution to journalArticlepeer-review

Harvard

APA

Vancouver

Author

Bibtex

@article{9743fc5db502432d81877800461aa05c,
title = "Taguchi and ANOVA analysis for the optimization of the microencapsulation of a volatile phase change material",
abstract = "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 °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.",
keywords = "ANOVA analysis, Taguchi, Microencapsulation, Volatile organic compounds, Phase change materials, Process optimization",
author = "Abdullah Mustapha and Yan Zhang and Zhibing Zhang and Yulong Ding and Qingchun Yuan and Yongliang Li",
year = "2021",
month = mar,
doi = "10.1016/j.jmrt.2021.01.025",
language = "English",
volume = "11",
pages = "667--680",
journal = "Journal of Materials Research and Technology",
issn = "2238-7854",
publisher = "Elsevier Editora Ltda",

}

RIS

TY - JOUR

T1 - Taguchi and ANOVA analysis for the optimization of the microencapsulation of a volatile phase change material

AU - Mustapha, Abdullah

AU - Zhang, Yan

AU - Zhang, Zhibing

AU - Ding, Yulong

AU - Yuan, Qingchun

AU - Li, Yongliang

PY - 2021/3

Y1 - 2021/3

N2 - 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 °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.

AB - 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 °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.

KW - ANOVA analysis

KW - Taguchi

KW - Microencapsulation

KW - Volatile organic compounds

KW - Phase change materials

KW - Process optimization

U2 - 10.1016/j.jmrt.2021.01.025

DO - 10.1016/j.jmrt.2021.01.025

M3 - Article

VL - 11

SP - 667

EP - 680

JO - Journal of Materials Research and Technology

JF - Journal of Materials Research and Technology

SN - 2238-7854

ER -