Hcl Technologies Limited

Rajesh Chakravarty

Pankaj Gupta

Hari Krishnan Elumalai

Raunaq Pandya

Akash Agarwal

Girish Ramesh Chandankar

Yaganti Sasidhar Reddy

Mohsin Mulla

Pankaj Panda

The disclosure relates to method and system for identifying a weldment feature. The method may include extracting a plurality of wire bodies from a sheet-metal model, and identifying from the plurality of wire bodies, a set of wire bodies associated with a face of the sheet-metal model. The method may further include generating one or more potential weldment features from the set of wire-bodies. Each of the one or more potential weldment features may be analyzed with respect to the face of the sheet-metal model. The method may further include identifying from the one or more potential weldment features, at least one related pair of weldment features. Weldment features of each related pair may include one of a contacting relationship and crossing relationship with each other.

Method and system of identifying a weldment feature

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.

Method and system for generating tightest revolve envelope for computer-aided design (CAD) model

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.

Method and system for classifying faces of boundary representation (B-Rep) models using artificial intelligence

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Mumbai, India

Rajesh Chakravarty