Study on performance evaluation and optimization of brewers grains hammer mill

he optimal milling parameters of the brewers grains hammer mill have been determined to make the miller operates in the best performance condition, minimum cost and ensure the quality of milled brewers grains. The experiment planning method with "black box" model and statistical analyses by a non-linear regression analysis method to determine were used. The study determined two second-order polynomial regression equations describing the influence of the operating parameters to the quality of the milled brewers grains (Cb) and specific energy consumption (Se). Based on directed grope algorithm and random algorithm method, the results of solving optimal problems gave optimal milling regime of the brewers grains mill as follows: optimal norms for milling process: Cbmax = 87.4% and Semin = 0.15 kWh/kg at hammer velocity of 32 m/s, material feed rate of 18.3 kg/h and clearance between the hammer and milling chamber of 3.2 mm. Keywords: brewers grains, hammer mill, optimize, quality, specific energy consumption.