A framework for prismatic part-data generation—unit-machined loop concept

Li, Rong-Kwei; Ming, Yu

doi:10.1080/09511929008944437

Cited by 10 publications

(2 citation statements)

References 7 publications

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“…Features have a strong volumetric significance [7,9,13,14] which is considered to have the two aspects of volumetric nature [15] for adding (positive ) or re-moving (negative ) material and associated volume [3]. The feature associated volume (FAV) is an important means by which feature interactions are determined.…”

Section: Existing Feature Interaction Classificationsmentioning

confidence: 99%

Feature-based interaction: An identification and classification methodology

Hounsell

Case

1999

Proceedings of the Institution of Mechanical Engineers, Part B:

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Abstract:Features are an established means of adding non-geometric information and extra geometric semantics to conventional computer aided design (CAD) systems. For some time it has been realized that, although feature-based modelling is necessary for the next generation of integrated design and manufacturing systems, the inherent feature interactions pose a difficulty in representing and manipulating geometric designs. This paper presents a structured geometric spatial feature interaction identification method based on a broad multilevel classification. Feature interaction definitions and classifications have been surveyed and it is evident that, although many feature interaction classifications have been proposed, there is a lack of a general framework. The classification presented here encompasses existing feature interference cases found in the literature and defines a singular framework that leads to a general classification structure. The framework is presented and applied at three different levels and each interaction case is defined by feature parameters rather than just geometric entities. The restrictions often found in other research concerning contact/non-contact and concave/convex situations are avoided. The resulting classification is easy to understand and implement because it uses simple rules based on commonly available Boolean operators. Finally, an example component is presented and the advantages, uses and applications of the classification scheme are discussed.

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Section: Existing Feature Interaction Classificationsmentioning

confidence: 99%

Feature-based interaction: An identification and classification methodology

Hounsell

Case

1999

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…To solve this problem, Lee and Fu (1987), Herbert et al (1990) and Hinde et al (1990) re-construct the arbitrary CSG tree to form a unique and computer understandable tree, then the nodes (primitives) of the re-constructed tree can be identified by a recognizer. Li and Yu (1990) and Perng et al (1990) converted the CSG tree into a DSG (Destructive Solid Modelling) tree, then features are recognized from the DSG model.…”

Section: Feature Recognitionmentioning

confidence: 99%

Feature technology: an overview

Case

Gao

1993

International Journal of Computer Integrated Manufacturing

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Abstract. The proper integration of the activities of Computer Aided Design and Computer AidedManufacture is an objective that has become more urgent within the wider context of a total Computer Integrated Manufacturing environment. In seeking this integration it is recognised that the diversity of activities and consequent needs for data can best be served by a single representation for design, design analysis and manufacturing planning, and that a strong candidate for this descriptive role is a Feature Representation. This paper briefly overviews the primary methods of the use of features through Feature Recognition and Design by Features, particularly in the process planning application area.

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Annotated bibliography on computer-aided process planning

Leung

1996

Int J Adv Manuf Technol

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A framework for prismatic part-data generation—unit-machined loop concept

Cited by 10 publications

References 7 publications

Feature-based interaction: An identification and classification methodology

Feature-based interaction: An identification and classification methodology

Feature technology: an overview

Annotated bibliography on computer-aided process planning

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