Graph-based heuristics for recognition of machined features from a 3D solid model
Computer-Aided Design
OSF/Motif: programmer's reference
OSF/Motif: programmer's reference
The C++ programming language (2nd ed.)
The C++ programming language (2nd ed.)
A uniform approach to represent features in different application contexts
Computers in Industry - Special issue: modeling in computer graphics
Feature modelling and conversion: key concepts to concurrent engineering
Computers in Industry
Multiple-way feature conversion to support concurrent engineering
SMA '95 Proceedings of the third ACM symposium on Solid modeling and applications
Feature attributes and their role in product modeling
SMA '95 Proceedings of the third ACM symposium on Solid modeling and applications
Manufacturing feature instances: which ones to recognize?
SMA '95 Proceedings of the third ACM symposium on Solid modeling and applications
Advances in Engineering Software - Special issue: computer-aided process planning
Geometric algorithms for recognition of features from solid models
Geometric algorithms for recognition of features from solid models
Automatic recognition of machinable features in solid models
Automatic recognition of machinable features in solid models
3d geometric reasoning algorithms for feature recognition
3d geometric reasoning algorithms for feature recognition
Product lifecycle oriented digitization agile process preparation system
Computers in Industry
Motion navigation for arc welding robots based on feature mapping in a simulation environment
Robotics and Computer-Integrated Manufacturing
Design-to-fabrication automation for the cognitive machine shop
Advanced Engineering Informatics
Recognising 2.5D manufacturing feature using neural network
International Journal of Computer Applications in Technology
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In current CAD/CAE systems, feature-based design is a popular method for generating product models. To generate feature information for manufacturing or other downstream applications from this product model, the feature information generated during design is extremely useful. A method is presented in this paper, where attributes are used to generate design feature information. This information is used as the driving factor for the generation of machining and fixturing features. Heuristics-based methods are explored for volume decomposition and composition, which are the intermediate steps used to generate machining features. The generation of alternative machining features is followed by evaluation in the form of various tests. Attribute-driven rules are used eventually to find machining features. Fixtufing features are generated by considering forces and moments involved in machining. This methodology of generating application features using design information is known as feature recovery. A prototype feature recovery system has been designed and implemented to demonstrate the feature recovery method.