The effect of blanket thickness on extraction energy in sugarcane rolling mills: a finite element investigation

Adam, C., and Loughran, J. (2005) The effect of blanket thickness on extraction energy in sugarcane rolling mills: a finite element investigation. Biosystems Engineering, 92 (2). pp. 255-263.

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Abstract

Extraction of juice from shredded sugar cane is commonly performed using sets of counter-rotating rolls. Increases in crushing rate through factory mills have traditionally been achieved by increasing blanket thickness rather than roll surface speed due to loss of extraction efficiency at higher rolling speeds. Recent factory experience has shown that good extraction performance can be achieved at higher speeds than previously thought, provided that adequate drainage of expressed juice away from the rolls is provided. This study uses finite element (FE) methods to predict internal energy dissipation levels due to solid matrix deformation and liquid flow during rolling of prepared sugarcane, and to compare milling parameters for thick blanket, low-speed rolling versus thin blanket, high-speed rolling. The FE results suggest that higher roll speeds and thinner blankets (than those currently used in industry practice) would maintain crushing rates and juice extraction levels while reducing roll load, torque, and power consumption, and decreasing frictional sliding between rolls and cane blanket.

Item ID: 13985
Item Type: Article (Refereed Research - C1)
Keywords: deformation; energy; fibro; porous material; saturated; sugarcane
ISSN: 1537-5129
Date Deposited: 29 Nov 2010 00:25
FoR Codes: 09 ENGINEERING > 0999 Other Engineering > 099901 Agricultural Engineering @ 50%
09 ENGINEERING > 0913 Mechanical Engineering > 091399 Mechanical Engineering not elsewhere classified @ 40%
09 ENGINEERING > 0905 Civil Engineering > 090506 Structural Engineering @ 10%
SEO Codes: 82 PLANT PRODUCTION AND PLANT PRIMARY PRODUCTS > 8203 Industrial Crops > 820304 Sugar @ 60%
86 MANUFACTURING > 8614 Machinery and Equipment > 861401 Agricultural Machinery and Equipment @ 40%
Citation Count from Web of Science Web of Science 1
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