Feature-based modelling approaches for integrated manufacturing: state-of-the-art survey and future research directions

Allada, Venkat; Anand, Sam

doi:10.1080/09511929508944670

Cited by 74 publications

(46 citation statements)

References 103 publications

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“…However, a critical issue that has not been resolved satisfactorily is how to link from a functional view of design to a manufacturing view of design [5]. A wide range of research has been pursued in feature recognition and design by features in attempts to make this link [6]. However, design by features overconstrains the designer from a functional point of view while feature recognition provides the designer with no manufacturing focus.…”

Section: Multiple Views Of Informationmentioning

confidence: 99%

Manufacturing information interactions in data model driven design

Young

Canciglieri

Costa

1999

Proceedings of the Institution of Mechanical Engineers, Part B:

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This paper presents a novel view of a software environment that has the potential to provide manufacturing information support to product design in line with the aims of concurrent engineering. The arguments developed should have significant consequences for future computer aided engineering (CAE) systems development and support the continuing globalization in business development. The approach taken has at the centre of its philosophy the need to provide designers with high-quality information on which to base their decisions. The concept of an information supported product design environment is not new, but a range of issues related to information interactions has yet to be resolved. This paper explores the use of information models to support functional and manufacturing interactions in design as well as the issues that are raised in attempting to support multiple views in design for manufacture. The design of injection moulded products is used as the focus against which the ideas in the paper are explored.

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Section: Multiple Views Of Informationmentioning

confidence: 99%

Manufacturing information interactions in data model driven design

Young

Canciglieri

Costa

1999

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…A consequence is that "no general approach to recognise all interactions is yet known" [1]. DbF systems have been misconsidering (or at least misrepresenting) feature interaction so that only simple and straightforward interrelationships can be found in the literature.…”

Section: Related Workmentioning

confidence: 99%

“…Furthermore, "neighbouring" or "adjacency" ( [6], [7]) of features has been considered to be of crucial importance for applications such as computing tool approach directions. However, these interactions are seldom represented in DbF systems because they are not considered to be interferences [1].…”

Section: Related Workmentioning

confidence: 99%

Structured Multi-Level Feature Interaction Identification

Hounsell¹,

Case²

1997

Proceedings of the Thirty-Second International Matador Conference

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SUMMARYFeatures are an established means of adding non-geometric information and extra geometric semantics to conventional CAD systems. It has been already realised that although feature-based modelling is necessary for the next generation of integrated design and manufacturing systems, inherent feature interactions pose a difficulty in representing and manipulating geometric design. This paper presents a structured multi-level geometric feature interaction classification scheme implemented within a Design-by Feature (DbF) system for representation validation analysis. Various feature interaction definitions and classification methods are first surveyed. The elements and the tests used for the identification process are presented. The classification encompasses existing feature interference cases found in the literature, uses a clear structure for the classification and, is applied at three different levels.

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“…According to Allada and Anand (1995) it is due either to an inadequate exploration of all feasible alternative concepts or to an ineffective integration of the product design concepts with evaluation criteria such as ease of manufacture and production costs.…”

mentioning

confidence: 99%