American Journal of Food Science and Technology
ISSN (Print): 2333-4827 ISSN (Online): 2333-4835 Website: http://www.sciepub.com/journal/ajfst Editor-in-chief: Hyo Choi
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American Journal of Food Science and Technology. 2013, 1(4), 70-76
DOI: 10.12691/ajfst-1-4-2
Open AccessArticle

Grinding Studies of Mango Ginger: Mathematical Modelling of Particle Size Distribution and Energy Consumption

Thirupathihalli Pandurangappa Krishna Murthy1, and Balaraman Manohar2

1Department of Biotechnology, Sapthagiri College of Engineering, Bangalore, India

2Department of Food Engineering, CSIR-Central Food Technological Research Institute, Mysore, India

Pub. Date: November 26, 2013

Cite this paper:
Thirupathihalli Pandurangappa Krishna Murthy and Balaraman Manohar. Grinding Studies of Mango Ginger: Mathematical Modelling of Particle Size Distribution and Energy Consumption. American Journal of Food Science and Technology. 2013; 1(4):70-76. doi: 10.12691/ajfst-1-4-2

Abstract

Mango ginger was ground in hammer mill with three different classifying screens and pin mill to study the particle size distribution and energy consumption. The Rosin-Rammler Bennet (RRB) model fitted well the particle size distribution data over the entire range of the size distribution for grinding in both hammer mill and pin mill with high coefficient of determination (R2) and low values of residual sum square, root mean square error and Chi-square. Relationship between RRB model parameters with hammer mill screen size was obtained with high R2. All the three classical models such as Rittinger’s, Kick’s and Bond’s law were found suitable to explain the energy consumption for grinding. Energy consumption increased exponentially with decrease in classifying screen size of hammer mill. The Work index for grinding increased with increase in size reduction ratios and were in the range of 0.075-0.58 kW/kg.

Keywords:
mango ginger hammer mill pin mill particle size distribution specific energy consumption work index

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