Research on auto-reasoning process planning using a knowledge based semantic net
A process-planning model (PP model) is proposed to convert the geometric features into manufacture machining operations and sequence the machining operations of the part in a feasible and effective order. The process-planning model (PP model) construct a feature framework that makes a mapping from geometric features into machining operations. A semantic net named the Precedence-Relations-Net is established to reflect the precedence relationships among the machining operations. The vectors and the matrixes are employed to construct a mathematical sequencing model. A part is decomposed into several basic geometrical units, namely, U1,U2,,UN. For each unit Ui, two vectors, named Fi and Pi, represent the features and machining operations of Ui. Finally, a matrix named PP is used to memorize the process plan, and a matrix  PO (performing objects)  represents the object of machining operations.
knowledge semantic net precedence-relations-net manufacturing features sequencing mathematical model