Robust parametric optimization of cyclone separator by means of probabilistic multi - objective optimization
DOI:
https://doi.org/10.12928/ijio.v7i1.12050Keywords:
Machining processes, Optimal parameter, Robust PMOO, Simultaneity, Systems theoryAbstract
In this article, robust parametric optimization of cyclone separator is done by means of robust probabilistic multi - objective optimization (RPMOO). In RPMOO, the optimal attributes (objectives) are essentially divided into two types, i.e., both unbeneficial and beneficial types, which devote their partial preferable probabilities with equivalent manner quantitatively; especially the averaged value of the experimental data of each attribute and its dispersity are evaluated individually in accordance with its corresponding type. The total preferable probability of each scheme alternative is formed from the multiplication of all available partial preferable probabilities, which is the uniquely decisive indicator of an alternative in this assessment; the optimum scheme is with the highest total preferable probability. For the parametric optimization of cyclone separator, the inlet velocity, helical angle, and outlet diameter are as the variable parameters, while the pressure drop and separation efficiency are the evaluated responses of the cyclone separator to get optimization, the former is an unbeneficial type of attribute and the latter is a beneficial type of attribute. The orthogonal array L9(33) was employed to arrange the experimental scheme alternatives. The evaluated results indicate that the optimized experimental scheme is alternative 6, which yields the optimal responses of a pressure drop of 0.3 mba and a separation efficiency of 98.95 % at an optimum inlet velocity of 13 m/s, an outlet diameter of 72 mm, and a helical angle of 5. This work reveals the independent contributions of the averaged value of the experimental data and its dispersion to an attribute response in the optimization process, and the irrelevance of pressure drop and separation efficiency in the system.
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