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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Main Authors: | , , , , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
IOP Publishing
2019
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Subjects: | |
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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Institution: | Universiti Malaysia Pahang |
Language: | English |