Abstract: This disclosure relates to method and system for generating tightest revolve envelope for a Boundary representation (B-rep) Computer-Aided Design (CAD) model. The method includes receiving a 2-dimensional (2D) point cloud within an XY-plane corresponding to each of a plurality of faces of the B-rep CAD model within an XYZ-space. The method further includes, for each of the plurality of faces, determining a concave hull shape for the 2D point cloud through a concave hull algorithm. The method further includes combining the concave hull shape corresponding to each of the plurality of faces of the B-rep CAD model through at least one of a Boolean operation and a stitching operation to obtain a tightest revolve profile of the B-rep CAD model. The method further includes revolving the tightest revolve profile about X-axis of the XYZ-space to obtain a tightest revolve envelope corresponding to the B-rep CAD model.

Abstract: The invention relates to method and system for classifying faces of a Boundary Representation (B-Rep) model using Artificial Intelligence (AI). The method includes extracting topological information corresponding to each of a plurality of data points of a B-Rep model of a product; determining a set of parameters based on the topological information corresponding to each of the plurality of data points; transforming the set of parameters corresponding to each of the plurality of data points of the B-Rep model into a tabular format to obtain a parametric data table; and assigning each of the plurality of faces of the B-Rep model a category from a plurality of categories based on the parametric data table using an AI model.

Abstract: This disclosure relates to method and system for generating tightest revolve envelope for a Boundary representation (B-rep) Computer-Aided Design (CAD) model. The method includes receiving a 2-dimensional (2D) point cloud within an XY-plane corresponding to each of a plurality of faces of the B-rep CAD model within an XYZ-space. The method further includes, for each of the plurality of faces, determining a concave hull shape for the 2D point cloud through a concave hull algorithm. The method further includes combining the concave hull shape corresponding to each of the plurality of faces of the B-rep CAD model through at least one of a Boolean operation and a stitching operation to obtain a tightest revolve profile of the B-rep CAD model. The method further includes revolving the tightest revolve profile about X-axis of the XYZ-space to obtain a tightest revolve envelope corresponding to the B-rep CAD model.

Abstract: The invention relates to method and system for classifying faces of a Boundary Representation (B-Rep) model using Artificial Intelligence (AI).