eng Science and Education Publishing American Journal of Food Science and Technology 2013-11-26 1 4 70 76 10.12691/ajfst-1-4-2 AJFST2013142 article Thirupathihalli Pandurangappa Krishna Murthy crishna@live.in 1 Balaraman Manohar 2 Department of Biotechnology, Sapthagiri College of Engineering, Bangalore, India Department of Food Engineering, CSIR-Central Food Technological Research Institute, Mysore, India 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. http://pubs.sciepub.com/ajfst/1/4/2/ajfst-1-4-2.pdf mango gingerhammer millpin millparticle size distributionspecific energy consumptionwork index