Issue |
E3S Web Conf.
Volume 187, 2020
The 13th Thai Society of Agricultural Engineering International Conference (TSAE 2020)
|
|
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Article Number | 01001 | |
Number of page(s) | 8 | |
Section | Agricultural Systems | |
DOI | https://doi.org/10.1051/e3sconf/202018701001 | |
Published online | 08 September 2020 |
Optimization of milling performance of a sugar mill
1 Khon Kaen University, Department of Agricultural Engineering, Faculty of Engineering, Khon Kaen 40002, Thailand
2 Khon Kaen University, Applied Engineering for Important Crops of the North East Research Group, Khon Kaen, 40002 Thailand
* Corresponding author: wichiasr@gmail.com
Thailand is the sugar cane exporters in the world market. It is important for sugar factory to operate efficiently in milling against its competition. This study was conducted to find the optimization of milling performance of a sugar mill based on extraction (EXT), power requirements (POW), specific energy consumption (SEC), and specific extraction per energy consumption (SEE) that is important parameters for sugar factory. Testing was performed using a small milling machine. The compressed pressure and speed were adjusted from 2.7 to 10.0 x 106 N/m2 and 0.0844 m/s to 0.1631 m/s, respectively. After the test, the polarization meter was used to measure sugar in juice. The results showed that the maximum extraction (%) is earned at the intermediate compressed pressure and the lowest speed. The minimum power requirement (W) is earned at the lowest compressed pressure and the lowest speed. The minimum specific energy consumption (kWh/t) is earned at the lowest compressed pressure and the intermediate speed. The maximum specific extraction per energy consumption (%.t/kWh) is earned at the intermediate compressed pressure and the lowest speed. The method and results of this study can benefit for sugar factory to find performance and to make the decision on process operation.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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