scholarly journals Feature-interaction detection based on feature-based specifications

2013 ◽  
Vol 57 (12) ◽  
pp. 2399-2409 ◽  
Author(s):  
Sven Apel ◽  
Alexander von Rhein ◽  
Thomas Thüm ◽  
Christian Kästner
Keyword(s):  
Feature Interaction ◽  
Interaction Detection ◽  
Feature Based

Geometric Reasoning Based on Graph Grammar Parsing

1994 ◽  
Vol 116 (3) ◽  
pp. 763-769 ◽  
Author(s):  
Z. Fu ◽  
A. de Pennington
Keyword(s):  
Intelligent Design ◽  
Feature Recognition ◽  
Geometric Reasoning ◽  
Geometric Constraints ◽  
Graph Grammar ◽  
Feature Interaction ◽  
Knowledge Based ◽  
Feature Based ◽  
Feature Information ◽  
And Performance

It has been recognized that future intelligent design support environments need to reason about the geometry of products and to evaluate product functionality and performance against given constraints. A first step towards this goal is to provide a more robust information model which directly relates to design functionality or manufacturing characteristics, on which reasoning can be carried out. This has motivated research on feature-based modelling and reasoning. In this paper, an approach is presented to geometric reasoning based on graph grammar parsing. Our approach is presented to geometric reasoning based on graph grammar parsing. Our work combines methodologies from both design by features and feature recognition. A graph grammar is used to represent and manipulate features and geometric constraints. Geometric constraints are used within symbolical definitions of features constraints. Geometric constraints are used within symbolical definitions of features and also to define relative position and orientation of features. The graph grammar parsing is incorporated with knowledge-based inference to derive feature information and propagate constraints. This approach can be used for the transformation of feature information and to deal with feature interaction.

scholarly journals Feature Interaction Detection in Active Networks

2002 ◽  
pp. 241-252
Author(s):  
Go Ogose ◽  
Jyunya Yoshida ◽  
Tae Yoneda ◽  
Tadashi Ohta
Keyword(s):  
Active Networks ◽  
Feature Interaction ◽  
Interaction Detection

Feature-Based Slicing for Layered Manufacturing

1999 ◽  
Author(s):  
Xiaoping Qian ◽  
Debasish Dutta
Keyword(s):  
Lead Time ◽  
Layered Manufacturing ◽  
Feature Interaction ◽  
Individual Feature ◽  
Design Specification ◽  
High Quality ◽  
Interaction Volume ◽  
Feature Based ◽  
Slicing Method ◽  
Competition Pressure

Abstract Layered manufacturing (LM) has become an indispensable manufacturing technology for product design and development. Competition pressure demands high quality LM part within an even shorter lead time. This requires an efficient fabrication strategy for LM. In contrast to prevalent LM methods whereby each layer is uniformly deposited with same layer thickness, we are exploring a different approach for LM. That is, fabrication strategies are localized to best meet the design specification of each individual feature in the part. Therefore, slicing, deposition path planning, etc., are done separately for each feature volume to get the best quality for that feature volume. Specifically, in this paper, we present a feature-based slicing method, which localizes the slicing for each individual feature volume. We propose the concept of feature interaction volume and describe how the part volume can be decomposed into refined feature volumes and feature interaction volumes. In refined feature volumes, the fabrication strategies are completely independent of the neighboring volumes. Some examples are presented to validate the feature-based slicing method.

Feature interaction detection using a synchronous approach and testing

2000 ◽  
Vol 32 (4) ◽  
pp. 419-431 ◽  
Author(s):  
L. du Bousquet ◽  
F. Ouabdesselam ◽  
J.-L. Richier ◽  
N. Zuanon
Keyword(s):  
Feature Interaction ◽  
Interaction Detection
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