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Statistical approach for prediction of thermal properties of CNC and CNC-CuO nanolubricant using Response Surface Methodology (RSM)

In the present work, response surface methodology (RSM) using the miscellaneous design model was performed to optimize thermal properties of Cellulose nonocrystal (CNC) and hybrid of cellulose nanocrystal-copper (II) oxide (CNC-CuO) nanolubricant. Influence of temperature, concentration and type of...

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Bibliographic Details
Main Authors: Sakinah, Hisham, K., Kadirgama, D., Ramasamy, M., Samykano, W. S., Wan Harun, R., Saidur
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing 2019
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/29819/1/1.%20Statistical%20approach%20for%20prediction%20of%20thermal%20properties%20of%20CNC.pdf
http://umpir.ump.edu.my/id/eprint/29819/
https://doi.org/10.1088/1757-899X/788/1/012016
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http://umpir.ump.edu.my/id/eprint/29819/1/1.%20Statistical%20approach%20for%20prediction%20of%20thermal%20properties%20of%20CNC.pdf
http://umpir.ump.edu.my/id/eprint/29819/
https://doi.org/10.1088/1757-899X/788/1/012016

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