Geometric algorithms for recognition of features from solid models
Geometric algorithms for recognition of features from solid models
Fast planning through planning graph analysis
Artificial Intelligence
STEP-based feature extraction from STEP geometry for Agile manufacturing
Computers in Industry
Spatial Reasoning for the Automatic Recognition of Machinable Features in Solid Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new methodology for extracting manufacturing features from CAD system
Computers and Industrial Engineering
Feature extraction from large CAD databases using genetic algorithm
Computer-Aided Design
Supporting design for manufacture through neutral files and feature recognition
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Rule-based expert system dedicated for technological applications
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Simulated rolling method for the recognition of outer profile faces of aircraft structural parts
Advances in Engineering Software
Intelligent data processing in recycling of household appliances
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Computers and Industrial Engineering
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Within manufacturing, features have been widely accepted as useful concepts, and in particular they are used as an interface between CAD and CAPP systems. Previous research on feature recognition focus on the issues of intersecting features and multiple interpretations, but do not address the problem of custom features representation. Representation of features is an important aspect for making feature recognition more applicable in practice. In this paper a hybrid procedural and knowledge-based approach based on artificial intelligence planning is presented, which addresses both classic feature interpretation and also feature representation problems. STEP designs are presented as case studies in order to demonstrate the effectiveness of the model.