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

• 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

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...