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

Publication date: March–April 2021

Source: Journal of Materials Research and Technology, Volume 11

Author(s): Abdullah Naseer Mustapha, Yan Zhang, Zhibing Zhang, Yulong Ding, Qingchun Yuan, Yongliang Li

Republished by Plato

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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.

Source: https://www.sciencedirect.com/science/article/pii/S2238785421000260?dgcid=rss_sd_all

Material

Corrigendum to “A facile way to modify carbon fibers and its effect on mechanical properties of epoxy compositesˮ [J Mater Res Technol 10 (2021) 164–174]

Publication date: March–April 2021

Source: Journal of Materials Research and Technology, Volume 11

Author(s): Hongwei He, Tao Zhang, Yongkang Yang

Republished by Plato

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ScienceDirect ® is a registered trademark of Elsevier B.V.

Source: https://www.sciencedirect.com/science/article/pii/S2238785421001472?dgcid=rss_sd_all

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Fabrication and characterization of Au/Cr and Cr/Au Multilayered plasmonic nanofilms for sensing applications

Publication date: March–April 2021

Source: Journal of Materials Research and Technology, Volume 11

Author(s): Mohammed Shaban, Abdullah Almohammedi, Shreef Shaban, Mohamed Mourad, Khulood Abu Al-Ola, Waleed Osman

Republished by Plato

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Elsevier
Volume 11, March–April 2021, Pages 1868-1880
Journal of Materials Research and Technology

open access

Abstract

A highly sensitive/selective heavy metals and C2H2 gas-sensing structures utilizing plasmonic nanostructured films, mainly Au and Cr-based are fabricated using radio frequency magnetron sputtering. The chemical composition, morphological, and optical properties of the designed sensors are studied with various techniques. Scanning electron microscopy (SEM) images reveal the growth of winkle network Au and Cr nanostructured thin layers on glass substrates. To confirm the chemical compositions of the prepared Au and Cr nanostructures, Raman and energy-dispersive X-ray (EDX) spectra have been investigated. From 200 to 2500 nm, the optical transmission/reflection/absorption spectra have been studied. The spectra showed absorption band tuned from visible to infrared region with tuned optical band gap (Egop) from 1.94 eV for Au(4)/Cr(4) to 1.49 eV for Au(2)/Cr(2) versus 1.5 and 2.25 eV for Cr(4)/Au(4). The 4-layered Cr/Au/glass and Au/Cr/glass films are tested as Hg2+ sensors and C2H2 gas sensors. Heavy metals sensing property utilizing surface-enhanced fluorescence reveals high sensitivity upon the addition of Hg2+ ions (0.1–10 μM) and high selectivity against Cd2+ and Pb2+ (10 μM). The gas sensing sensitivity, detection limit, recovery time, and response time are estimated and presented at different gas concentrations. The sensitivity of the sensors reached 96.0% and 97.9% @100 sccm for Au/Cr/glass and Cr/Au/glass sensors, respectively. The Cr/Au/glass sensor (tres = 42 s, trecov = 58 s @20 sccm) showed smaller response and recovery times than the Au/Cr/glass sensor (tres = 52 s, trecov = 77.7 s @20sccm).

Keywords

C2H2 Gas sensor

Multilayered nanofilms

Surface plasmon

Electrical properties

RF sputtering

© 2021 The Authors. Published by Elsevier B.V.

Source: https://www.sciencedirect.com/science/article/pii/S2238785421001009?dgcid=rss_sd_all

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A new approach of predicting dynamic recrystallization using directly a flow stress model and its application to medium Mn steel

Publication date: March–April 2021

Source: Journal of Materials Research and Technology, Volume 11

Author(s): Mohd Kaswandee Razali, Man Soo Joun

Republished by Plato

Published

on


Elsevier
Volume 11, March–April 2021, Pages 1881-1894
Journal of Materials Research and Technology

open access

Abstract

We present a new approach of predicting the dynamic recrystallization (DRX) of an alloy steel during hot compression testing with an emphasis on higher solution accuracy and practicability than the Johnson-Mehl-Avrami-Kolmogorov (JMAK) model approach. We use not only an accurate closed-form function (CFF) flow stress model which allows to exclude modelling of the strain at 50% recrystallization but also an Avrami kinetics model with improved parameters formulated as the CFFs of state variables; this enhances generality, flexibility, and accuracy. Comparisons of the fitted and experimental flow stresses revealed that accuracy is excellent; the average and maximum errors are less than 2.83% and 4.61%, respectively. The average error of the fitted DRX volume fraction

(Xdrx)

values in our approach is 5.15% (standard deviation of 2.35%), which is considerably low. The comparison of the grain sizes predicted by the new approach with those by the JMAK model approach also showed that the former is closer to the experimental data than the latter.

Keywords

Dynamic recrystallization

Closed-form function

Flow stress model

Avrami kinetics model

Generality

Flexibility

© 2021 The Authors. Published by Elsevier B.V.

Source: https://www.sciencedirect.com/science/article/pii/S2238785421001526?dgcid=rss_sd_all

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