Feature modelling by incremental feature recognition

Laakko, Timo; Mäntylä, Martti

doi:10.1016/0010-4485(93)90079-4

Cited by 110 publications

(24 citation statements)

References 9 publications

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“…Firstly, the geometric and algebraic constraints specified on features are satisfied. Secondly, the feature model is consistent with the geometric model (Laakko and Mantyla 1993;Geelink et al 1995). This consistency should also be used to validate engineering intent (Martino et al 1994;Vieira 1995;Mandorli et al 1997).…”

Section: Using Features To Maintain a Product Model's Validitysupporting

confidence: 67%

Paradigm shift: unified and associative feature-based concurrent and collaborative engineering

Chen

Thimm

2008

J Intell Manuf

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With widely used concurrent and collaborative engineering technologies, the validity and consistency of product information become important. In order to establish the state of the art, this paper reviews emerging concurrent and collaborative engineering approaches and emphasizes on the integration of different application systems across product life cycle management (PLM) stages. It is revealed that checking product information validity is difficult for the current computer-aided systems because engineering intent is at best partially represented in product models. It is also not easy to maintain the consistency among related product models because information associations are not established. The purpose of this review is to identify and analyze research issues with respect to information integration and sharing for future concurrent and collaborative engineering. A new paradigm of research from the angle of feature unification and association for product modeling and manufacturing is subsequently proposed.Keywords Concurrent and collaborative engineering · Feature-based design and manufacturing · Product life cycle modeling · Information validity and consistency

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Section: Using Features To Maintain a Product Model's Validitysupporting

confidence: 67%

Paradigm shift: unified and associative feature-based concurrent and collaborative engineering

Chen

Thimm

2008

J Intell Manuf

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“…Experience shows that features can be used as higher-level information entities going beyond pure geometry by grouping information entities together. For instance, the feature definition given in [8] includes feature attributes, topological relations and geometric constraints, which are ultimately based on a feature's geometric entities. These attributes, relations or constraints provide interfaces to higher level reasoning processes.…”

Section: Literature Reviewmentioning

confidence: 99%

Knowledge-Based Reasoning in a Unified Feature Modeling Scheme

Chen

Thimm

et al. 2005

Computer-Aided Design and Applications

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Feature-based modeling is an accepted approach to include high-level geometric information in product models as well as to facilitate a parameterized and constraint-based product development process. Moreover, features are suitable as an intermediate layer between a product's knowledge model and its geometry model for effective and efficient information management. To achieve this, traditional feature technology must be extended to align with the approach of knowledge-based reasoning. In this paper, based on a previously proposed unified feature modeling scheme, feature definitions are extended to support knowledge-based reasoning. In addition, a communication mechanism between the knowledge-based system and the feature model is established. The methods to embed and use knowledge for information consistency control are described.Keywords: Unified feature; Knowledge-based reasoning; Feature-based modeling INTRODUCTIONHistorically, computer-aided tools, such as CAD, CAPP and CAM systems are developed to support the corresponding product lifecycle phases. Product geometry takes up a significant position in these systems. Feature technology is mainly used to provide high-level geometric representations to facilitate parameterized and constraint-based product geometric design process. However, traditional CAD systems usually assume that a designer has already finished the conceptual design as well as the concept-to-geometry mapping [17]. Therefore, only geometric modeling functions are provided in these CAD systems. Due to this limitation, some information, such as the design intent and the process patterns, is lost during the design process. Explicitly embedding knowledge-based reasoning processes within the traditional engineering systems can significantly enhance the systems' reusability, scalability and flexibility. Knowledge-oriented techniques can support more complex tasks with natural human-oriented intelligent processes. They are more acceptable by human-beings than dataoriented techniques. They can also represent and deal with inaccurate and incomplete information as well as rule-ofthumbs, which are usually difficult to be described mathematically. Due to the different natures between the knowledge information entities and the geometric entities, to interface the knowledge-based reasoning processes with the geometric modeling processes, an intermediate information layer is necessary. Feature-based technology can provide such a bridge. However, the current feature modeling technology has to be extended in two directions. First, feature definitions need to be extended to support knowledge-based reasoning processes. The purpose of this extension are checking and maintaining feature validity in the view of design intent. In other words, each feature model should be consistent to its specific knowledge bases. Second, the communication mechanism between the knowledge bases and the feature models must be established. This paper is intended to address the key issues for enabling knowledge-based reasoning in...

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“…Laako and MantyHi introduced incremental feature recognition (IFR) 8 , which executes feature recognition after each sequence of geometric modeling operations. It can interpret only the part where a Boolean operation is performed.…”

Section: Introductionmentioning

confidence: 99%

Feature Management with Multiple Views Based on Convexity Properties of Shape Region

Kojima

Higashi

2001

Geometric Modelling

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This paper proposes a method of representing a product as a feature model with multiple views. A feature is defined as a region which is composed of connected faces by the edges with the same convexity. The method maintains consistent relations between design and manufacturing features against their modification. The model has more than one set of regions and region trees corresponding to an individual view, along with a region graph which represents relations among features in different views. The graph is generated by scanning the common face among the regions in different views. Our method enables detection of the features which can be changed independently from the sequence of the feature creation, and design and manufacturing features on which the shape change has an effect, using the graph and region trees. A feature cancel operation is explained as an example of feature manipulation, which maintains the correspondence of regions using the region Euler operations.

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Feature modelling by incremental feature recognition

Cited by 110 publications

References 9 publications

Paradigm shift: unified and associative feature-based concurrent and collaborative engineering

Paradigm shift: unified and associative feature-based concurrent and collaborative engineering

Knowledge-Based Reasoning in a Unified Feature Modeling Scheme

Feature Management with Multiple Views Based on Convexity Properties of Shape Region

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