Forecasting the technical condition of thermochemical reactor systems

Abstract

Today, thermochemical reactors are an integral element in many industries. Failure of reactor elements can lead to significant negative consequences. An analysis of the consequences of failures of thermochemical reactors containing a stirrer is presented. The FMEA method has been used to determine the main causes of failures in thermochemical reactors with agitator. When using failure statistics, the Pareto chart shows the distribution of the main causes of agitator failure. It has been established that the combination of the most significant causes leads to the failure of the bearing units and, as a result, the mixing device. A Markov model of the failure rate of bearing assemblies of a thermochemical reactor using rolling bearings, as well as magnetostatic bearings, is presented. Using the method of Markov processes, the rationale for replacing the rolling bearings of a mixing device with magnetostatic bearing assemblies is shown. The probability of failure-free operation as a result of calculations was 0.9998 for bearings based on rolling bearings and 0.9999 for magnetostatic bearings. Keywords: failure analysis; thermochemical reactor; Markov processes; mixing device; bearing assembly; technical condition.