The use of Augmented Reality (AR) devices like HoloLens has gained significant acceptance for training assembly line operators in various industries. When employing Computer-Aided Design (CAD) models to create assembly line instructions for training purposes, preserving all redundant information becomes unnecessary. Utilizing simplified CAD models leads to improved run-time performance of the applications in which they are employed. This paper introduces a novel solution to simplify CAD models by identifying continuous chains within the CAD model, with the help of deep learning techniques. The proposed method makes it possible to suppress such features that do not impede visualization when removed.