Evaluation of Specific Heat Capacity and Density for Cellulose Nanocrystal-based Nanofluid

Authors

  • Kaaliarasan Ramachandran Faculty of Mechanical Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
  • Kumaran Kadirgama Automotive Engineering Centre, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
  • Devarajan Ramasamy Automotive Engineering Centre, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
  • Mahendran Samykano Automotive Engineering Centre, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
  • Lingenthiran Samylingam Faculty of Mechanical Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
  • Faris Tarlochan Mechanical and Industrial Engineering, Qatar University, Qatar
  • Gholamhassan Najafi Tarbiat Modares University, Tehran, Iran

Keywords:

nanocellulose, nanofluid, density, specific heat capacity, ethylene glycol-water, RSM

Abstract

In this present study, the experimental results for density and specific heat capacity for CNC based nanofluid are reported. The nanofluid used in this investigation was prepared by adopting two-step preparation method. Experiment results from the work carried out testifies that the density has proportional relationship to volume concentration and an inverse relationship with temperature. Meanwhile, the specific heat capacity displays a proportional relationship with temperature and has an inverse trend to volume concentration. An empirical mathematical model has been developed for relative density and relative specific heat capacity through Response Surface Method (RSM) by using Central Composite Design (CCD). Statistical analytical software (Minitab 17) was used to compute the theoretical model and ANOVA table. The significances of the empirical mathematical model were validated through ANOVA table by considering R2 (predicted), the difference between R2-R2 (adjusted), PRESS value and p-value in lack of fit. The obtained empirical model for relative specific density and relative specific heat capacity observed to be in good term with the experimental results with a maximum error of 0.26% and 0.72% respectively. Thus, the proposed mathematical model is suitable in predicting the specific heat capacity and density for CNC dispersed in the ethylene-glycol mixture.

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Published

2020-12-01

How to Cite

Ramachandran, K. ., Kadirgama, . K. ., Ramasamy, . D. ., Samykano, M. ., Samylingam, L. ., Tarlochan, F. ., & Najafi, . G. . (2020). Evaluation of Specific Heat Capacity and Density for Cellulose Nanocrystal-based Nanofluid. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 51(2), 169–186. Retrieved from https://www.akademiabaru.com/submit/index.php/arfmts/article/view/2345

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