DEPENDENCE OF THE SAWDUST DENSITY ON THE SIZE OF ITS PARTICLES AND HYDRAULIC PRESS COMPACTION PRESSURE
Keywords:
timber waste, sawdust, density particles size, compression pressure, hydraulic press, mathematical modeling, experiment planning, multifactor dependence, impact factors, response surfaceAbstract
In the process of timber processing large volume of waste products is formed, they constitute more than 17 % of energy potential of biomass in Ukraine. This enables to obtain annually while their usage energy effect equivalent to burning more than 1.5 mil. tons of coal. The paper contains the results of the determination of regression dependence of the sawdust density on the size of its particles and pressure, performed by the hydraulic press by means of rotatable central compositional planning of the experiment, using Wilson-Box method of the second order. Adequate regression dependence of the sawdust density on the size of its particles and hydraulic press compaction pressure is obtained. Adequacy of regression model was verified according to Fisher criterion and significance of the regression coefficient – by the Student`s criterion. The suggested mathematical model can be used for modeling the compaction process and for compaction drive design. It is established that according to Fisher criterion the hypothesis regarding the adequacy of the obtained regression model can be considered correct with 95 % validity. Correlation factor was 0.95829, this proves the sufficient validity of the obtained results. Using the Student`s criterion it was established that among the studied factors the hydraulic pressure exercises the greatest impact on sawdust density and the least impact – average size of sawdust particles. Response surface of the efficiency function – sawdust density in the plane of impact parameters is constructed, it enables to demonstrate the above-mentioned dependence.
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