2022
DOI: 10.1002/er.8272
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Thermal degradation studies and hybrid neural network modelling of eutectic phase change material composites

Abstract: Summary Using a thermogravimetric analyzer, the thermal stability of pure eutectic phase change material (PEPCM) (LiNO3 + NaCl) and composite eutectic PCM (CEPCM) mixture (ie, PCM containing 9% expanded graphite [EG]) was examined. PEPCM and CEPCM degradation kinetics were studied using model free kinetics methods. The activation energy of both PCM samples was evaluated using the Kissinger‐Akahira‐Sunose (KAS), Flynn‐Wall‐Ozawa (FWO), Starink, Friedman and Vyazovkin kinetic models. The calculated activation en… Show more

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Cited by 10 publications
(1 citation statement)
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References 46 publications
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“…Meanwhile, to design the tracking controller of a robot by using adaptive control technology, which need not know the dynamic model of the robot, and without considering joint frictions and external disturbances (Baek, 2016;Zhang and Cheng, 2019;Baek, 2018;Tang, 2021). To control trajectory tracking, a neural network was used in some different conditions (Rahmani, 2016;Balasubramanian, 2022;Izadbakhsh and Nikdel, 2022;Uyulan and Pek, 2021;Antonio, 2019). A designed controller for the 6-DOF robot, which was using a disturbance observer to combine with sliding mode control technology (Cui, 2016;Wang et al 2020aWang et al , 2020bWu, 2020;Jiang, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…Meanwhile, to design the tracking controller of a robot by using adaptive control technology, which need not know the dynamic model of the robot, and without considering joint frictions and external disturbances (Baek, 2016;Zhang and Cheng, 2019;Baek, 2018;Tang, 2021). To control trajectory tracking, a neural network was used in some different conditions (Rahmani, 2016;Balasubramanian, 2022;Izadbakhsh and Nikdel, 2022;Uyulan and Pek, 2021;Antonio, 2019). A designed controller for the 6-DOF robot, which was using a disturbance observer to combine with sliding mode control technology (Cui, 2016;Wang et al 2020aWang et al , 2020bWu, 2020;Jiang, 2021).…”
Section: Introductionmentioning
confidence: 99%