Study on performance evaluation and optimization of brewers grains hammer mill

The 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-l...

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Bibliographic Details
Main Authors: Anh, Duc Le, Van, Kien Pham, Van, Ranh Truong, Dinh, Khai Tran, Trung, Thanh Bui
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Energy consumption
Feed rate
Hammer mills
Minimum cost
Norms
Optimization
Parameters
Performance evaluation
Polynomials
Regression analysis
Statistical analysis
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Summary:The 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.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0066721