Process Information Model for Sheet Metal Operations
Ravi Kumar Gupta, Pothala Sreenu, Alain Bernard, Florent Laroche

TL;DR
This paper presents a process information model that automatically extracts manufacturing parameters from sheet metal part models to facilitate CAM generation and control manufacturing operations.
Contribution
It introduces a novel method for extracting process parameters from B-Rep models and integrating feature recognition with resource data for automated CAM generation.
Findings
Process parameters can be accurately extracted from B-Rep models.
Feature recognition effectively classifies sheet metal edges for manufacturing.
The model enables automated generation of CAM programs.
Abstract
The paper extracts the process parameters from a sheet metal part model (B-Rep). These process parameters can be used in sheet metal manufacturing to control the manufacturing operations. By extracting these process parameters required for manufacturing, CAM program can be generated automatically using the part model and resource information. A Product model is generated in modeling software and converted into STEP file which is used for extracting B-Rep which interned is used to classify and extract feature by using sheet metal feature recognition module. The feature edges are classified as CEEs, IEEs, CIEs and IIEs based on topological properties. Database is created for material properties of the sheet metal and machine tools required to manufacture features in a part model. The extracted feature, feature's edge information and resource information are then used to compute process…
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