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Prediction and Optimization of Thermophysical Properties of Hybrid Cellulose Nanocrystal-Copper (II) Oxide Nanolubricant for Tribology Application

Response surface methodology (RSM) was used in conjunction with the miscellaneous design model to identify prediction models for the thermophysical properties of a hybrid cellulose nanocrystal-copper (II) oxide nanolubricant. Minitab 18 statistical analysis software and Response Surface Methodology...

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Main Authors: Sakinah, Hisham, K., Kadirgama, D., Ramasamy, Mahendran, Samykano, N. W., Awang, Mohd Kamal, Kamaruzzaman
Format: Conference or Workshop Item
Language:English
English
English
Published: Springer Singapore 2023
Subjects:
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
Online Access:http://umpir.ump.edu.my/id/eprint/39559/1/Prediction%20and%20Optimization%20of%20Thermophysical%20Properties%20of%20Hybrid%20Cellulose%20Nanocrystal-Copper%20%28II%29%20Oxide%20Nanolubricant%20for%20Tribology%20Application%20%28Intro%29.pdf
http://umpir.ump.edu.my/id/eprint/39559/2/Prediction%20and%20Optimization%20of%20Thermophysical%20Properties%20of%20Hybrid%20Cellulose%20Nanocrystal-Copper%20%28II%29%20Oxide%20Nanolubricant%20for%20Tribology%20Application.pdf
http://umpir.ump.edu.my/id/eprint/39559/3/Proceedings%20of%20the%202nd%20Energy%20Security%20and%20Chemical%20Engineering%20Congress%20%28Cover%29.pdf
http://umpir.ump.edu.my/id/eprint/39559/
https://doi.org/10.1007/978-981-19-4425-3_29
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spelling my.ump.umpir.395592023-12-08T03:46:18Z http://umpir.ump.edu.my/id/eprint/39559/ Prediction and Optimization of Thermophysical Properties of Hybrid Cellulose Nanocrystal-Copper (II) Oxide Nanolubricant for Tribology Application Sakinah, Hisham K., Kadirgama D., Ramasamy Mahendran, Samykano N. W., Awang Mohd Kamal, Kamaruzzaman TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Response surface methodology (RSM) was used in conjunction with the miscellaneous design model to identify prediction models for the thermophysical properties of a hybrid cellulose nanocrystal-copper (II) oxide nanolubricant. Minitab 18 statistical analysis software and Response Surface Methodology (RSM) based on Central Composite Design (CCD) were utilised to generate an empirical mathematical model investigating the effect of concentration and temperature. Analysis of variance (ANOVA) is used to validate the significance of the developed empirical mathematical model. Thirteen experiments were conducted to obtain second-order polynomial equations for the desired specific heat capacity, thermal conductivity, and dynamic viscosity, outputs. The predicted values were found to be in reasonable agreement following the investigational finding. In addition, the models could predict more than 80% of the nanolubricant output variations, indicating that the model is accurate. In the optimization plot, the predicted optimal values for dynamic viscosity, thermal conductivity, and specific heat capacity are 2.3631, 0.1463, and 1.6311, respectively. The relevant parameters are 90 °C and 0.1 for temperature and concentration, respectively. The plotted composite is 0.6531. The findings of the percentage of absolute error (POAE) reveal that the model may precisely predict the optimum experimental parameters. Springer Singapore 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39559/1/Prediction%20and%20Optimization%20of%20Thermophysical%20Properties%20of%20Hybrid%20Cellulose%20Nanocrystal-Copper%20%28II%29%20Oxide%20Nanolubricant%20for%20Tribology%20Application%20%28Intro%29.pdf pdf en http://umpir.ump.edu.my/id/eprint/39559/2/Prediction%20and%20Optimization%20of%20Thermophysical%20Properties%20of%20Hybrid%20Cellulose%20Nanocrystal-Copper%20%28II%29%20Oxide%20Nanolubricant%20for%20Tribology%20Application.pdf pdf en http://umpir.ump.edu.my/id/eprint/39559/3/Proceedings%20of%20the%202nd%20Energy%20Security%20and%20Chemical%20Engineering%20Congress%20%28Cover%29.pdf Sakinah, Hisham and K., Kadirgama and D., Ramasamy and Mahendran, Samykano and N. W., Awang and Mohd Kamal, Kamaruzzaman (2023) Prediction and Optimization of Thermophysical Properties of Hybrid Cellulose Nanocrystal-Copper (II) Oxide Nanolubricant for Tribology Application. In: Proceedings of the 2nd Energy Security and Chemical Engineering Congress. 2nd Energy Security and Chemical Engineering Congress (ESChE 2021) , 3-5 November 2021 , Universiti Malaysia Pahang (Virtual Conference). pp. 325-340.. ISBN 978-981-19-4425-3 https://doi.org/10.1007/978-981-19-4425-3_29
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
English
topic TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
spellingShingle TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
Sakinah, Hisham
K., Kadirgama
D., Ramasamy
Mahendran, Samykano
N. W., Awang
Mohd Kamal, Kamaruzzaman
Prediction and Optimization of Thermophysical Properties of Hybrid Cellulose Nanocrystal-Copper (II) Oxide Nanolubricant for Tribology Application
description Response surface methodology (RSM) was used in conjunction with the miscellaneous design model to identify prediction models for the thermophysical properties of a hybrid cellulose nanocrystal-copper (II) oxide nanolubricant. Minitab 18 statistical analysis software and Response Surface Methodology (RSM) based on Central Composite Design (CCD) were utilised to generate an empirical mathematical model investigating the effect of concentration and temperature. Analysis of variance (ANOVA) is used to validate the significance of the developed empirical mathematical model. Thirteen experiments were conducted to obtain second-order polynomial equations for the desired specific heat capacity, thermal conductivity, and dynamic viscosity, outputs. The predicted values were found to be in reasonable agreement following the investigational finding. In addition, the models could predict more than 80% of the nanolubricant output variations, indicating that the model is accurate. In the optimization plot, the predicted optimal values for dynamic viscosity, thermal conductivity, and specific heat capacity are 2.3631, 0.1463, and 1.6311, respectively. The relevant parameters are 90 °C and 0.1 for temperature and concentration, respectively. The plotted composite is 0.6531. The findings of the percentage of absolute error (POAE) reveal that the model may precisely predict the optimum experimental parameters.
format Conference or Workshop Item
author Sakinah, Hisham
K., Kadirgama
D., Ramasamy
Mahendran, Samykano
N. W., Awang
Mohd Kamal, Kamaruzzaman
author_facet Sakinah, Hisham
K., Kadirgama
D., Ramasamy
Mahendran, Samykano
N. W., Awang
Mohd Kamal, Kamaruzzaman
author_sort Sakinah, Hisham
title Prediction and Optimization of Thermophysical Properties of Hybrid Cellulose Nanocrystal-Copper (II) Oxide Nanolubricant for Tribology Application
title_short Prediction and Optimization of Thermophysical Properties of Hybrid Cellulose Nanocrystal-Copper (II) Oxide Nanolubricant for Tribology Application
title_full Prediction and Optimization of Thermophysical Properties of Hybrid Cellulose Nanocrystal-Copper (II) Oxide Nanolubricant for Tribology Application
title_fullStr Prediction and Optimization of Thermophysical Properties of Hybrid Cellulose Nanocrystal-Copper (II) Oxide Nanolubricant for Tribology Application
title_full_unstemmed Prediction and Optimization of Thermophysical Properties of Hybrid Cellulose Nanocrystal-Copper (II) Oxide Nanolubricant for Tribology Application
title_sort prediction and optimization of thermophysical properties of hybrid cellulose nanocrystal-copper (ii) oxide nanolubricant for tribology application
publisher Springer Singapore
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/39559/1/Prediction%20and%20Optimization%20of%20Thermophysical%20Properties%20of%20Hybrid%20Cellulose%20Nanocrystal-Copper%20%28II%29%20Oxide%20Nanolubricant%20for%20Tribology%20Application%20%28Intro%29.pdf
http://umpir.ump.edu.my/id/eprint/39559/2/Prediction%20and%20Optimization%20of%20Thermophysical%20Properties%20of%20Hybrid%20Cellulose%20Nanocrystal-Copper%20%28II%29%20Oxide%20Nanolubricant%20for%20Tribology%20Application.pdf
http://umpir.ump.edu.my/id/eprint/39559/3/Proceedings%20of%20the%202nd%20Energy%20Security%20and%20Chemical%20Engineering%20Congress%20%28Cover%29.pdf
http://umpir.ump.edu.my/id/eprint/39559/
https://doi.org/10.1007/978-981-19-4425-3_29
_version_ 1822923969826652160
score 13.232414

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