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...
| _version_ | 1825815317667905536 |
|---|---|
| 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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T13:11:43Z |
| format | Conference or Workshop Item |
| id | UMPir39559 |
| institution | Universiti Malaysia Pahang |
| language | English English English |
| last_indexed | 2024-03-06T13:11:43Z |
| publishDate | 2023 |
| publisher | Springer Singapore |
| record_format | dspace |
| spelling | UMPir395592023-12-08T03:46:18Z 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 (Published) https://doi.org/10.1007/978-981-19-4425-3_29 |
| 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 |
| title | 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_short | 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 |
| topic | TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics |
| 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 |
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