Mathematical Modelling of Stingless Bee Honey Dewatering using Low-Temperature Vacuum Drying with Induced Nucleation Bubbling

Ahmad Syazwan, Ramli and Faeeza, Abdul Halim and Luqman, Abdul Halim and Firdaus, Basrawi and Mohd Azwan, Mohd Bakri (2024) Mathematical Modelling of Stingless Bee Honey Dewatering using Low-Temperature Vacuum Drying with Induced Nucleation Bubbling. In: Journal of Physics: Conference Series. 7th International Conference on Mechanical Engineering Research 2023 (ICMER 2023) , 12-13 September 2023 , AC Marriot Hotel, Kuantan, Pahang. pp. 1-14., 2688 (012011). ISSN 1742-6588 (print); 1742-6596 (online)

[img]
Preview
Pdf
Mathematical Modelling of Stingless Bee Honey Dewatering using Low-Temperature Vacuum Drying with Induced Nucleation Bubbling.pdf
Available under License Creative Commons Attribution.

Download (880kB) | Preview

Abstract

ow-temperature vacuum drying with induced nucleation boiling (LTVD-NB) was developed to dewater heat-sensitive materials such as stingless bee honey (SBH). However, its performance can be further optimised to achieve an efficient LTVD-NB operation. The objective of this paper is to investigate the most fitting drying model for dewatering SBH and to develop a suitable mathematical drying model that can be used to predict and optimise dewatering SBH using LTVD-NB. Established experimental data was used to develop the mathematical model. The data result showed that the logarithmic model had the best fit for drying SBH using LTVD-NB as compared to other models based on the highest value of R 2 and the lowest Root mean square, RMSE and reduced chi-square, χ 2 values which are 0.999988, 7.87E-05, and 1.41E-08, respectively. The model was further regressed to obtain an optimised mathematical model to better predict an LTVD-NB operation to dewater SBH. In conclusion, an optimised drying model to describe the dewatering process of SBH using the LTVD-NB method was able to be developed based on the multiple regression analysis of the obtained experimental data. Therefore, the drying model can predict the efficiency of this process just by giving the temperature and surface roughness values as input information.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: nucleate boiling; stingless bee honey; surface roughness; temperature; Vacuum drying
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Faculty/Division: Institute of Postgraduate Studies
Faculty of Mechanical and Automotive Engineering Technology
Depositing User: Miss Amelia Binti Hasan
Date Deposited: 24 May 2024 04:16
Last Modified: 24 May 2024 04:16
URI: http://umpir.ump.edu.my/id/eprint/41391
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item