Regression Analysis and Optimization of Experimental Data on The Cleaning Efficiency of The Peg Screw
Abstract
The article uses regression analysis to process the results of experimental studies conducted on three parameters that determine the maximum cleaning efficiency of a peg-type screw cleaner: the peg placement pitch s, the mesh hole width b, and the screw rotation speed n. Based on the B3 second-order Boh plan, 14 experiments were conducted, and the results were summarized in the form of a complete quadratic regression equation. All ten coefficients of the equation turned out to be statistically significant (t > 2.048), and the coefficient of determination was R2 = 0.964. As a result of the canonical analysis of the response surface, it was found that the stationary point of the model is the saddle point (minimax); the most optimal combination of parameters within the studied region is s ≈ 216 mm, b ≈ 6.9 mm, n = 130 rpm, where ηo ≈ 84.2% is achieved according to the model. It is shown that the results obtained are in good agreement with the parameters of the experimental sample (b = 6 mm, n = 160 rpm) adopted on the basis of the theoretical model.
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References
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