Probabilistic model for combined air purification system

Abstract

In the combined cleaning system aspirating air from polydisperse dust implemented method for redistributing the dust mass fraction composition. On the main dust collector receives major factions. Due to this the cleaning efficiency is significantly increased, and leakage to the atmosphere is reduced. Dust fines trapped in the apparatus of the circulation circuit. A distinctive feature of the combined cleaning system is the presence of two modes of operation ― cleaning mode and idle mode. During idling airflow cleared of previously accumulated in the circulation circuit of small fraction of dust. In this regard, the main indicators of the cleaning system ― collection efficiency changes over time. Prediction of changes in these quantities ― an important problem to be solved at the design stage cleaning system. The problem is solved by using the theory of Markov chains. Formulated a condition feasibility replacement ramjet dedusting system and obtained a combined model describing the dynamics of the system over time.