A Processing Route Decision Method for Ring-Frame Parts Based on Improved Bayesian Rough Set

Abstract

Processing route design is the key of machining process planning. And the determination of key parameters of machining allowance for parts processing is the core of processing route design. In this paper, according to the characteristics of the typical aerospace structural parts processing route, the problem of processing route design of typical ring-frame parts is transformed into determining the machining allowance sequence of turning and milling. Based on the improved Bayesian rough set, a processing route decision method and procedure of typical structural parts are proposed. At modeling time, the set of feature attributes that affect the process needs to be obtained. On the basis of the set, a conditional attribute reduction method and a matching degree calculation method for multi-classification decision attributes are proposed. Finally, an application case is studied based on the ring-frame parts processing data of the rocket. And the results show that the method is feasible and effective.