Custom-Cut: a customizable feature recognizer

Gaines, Daniel M.; Hayes, Caroline C.

doi:10.1016/s0010-4485(98)00082-7

Cited by 33 publications

(11 citation statements)

References 8 publications

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“…The multiple interpretations and feature interactions are main hurdles that hamper the use of this approach. Some researchers proposed to use engineering intent to solve these two problems (Vandenbrande and Requicha 1993;Gupta and Nau 1995;Gaines and Hayes 1999;Stage et al 1999;Li et al 2002;Raman and Marefat 2004). In other words, instead of pure geometric reasoning, features are recognized within a particular engineering context.…”

Section: Feature Recognitionmentioning

confidence: 99%

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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: Feature Recognitionmentioning

confidence: 99%

“…For process planning, the resource adaptive feature concept was proposed to represent associations between machining volumes and cutting tools, machines, and setups (Gaines and Hayes 1999;Stage et al 1999;Raman and Marefat 2004). These resource adaptive feature definitions are not purely geometric.…”

Section: Feature Interoperabilitymentioning

confidence: 99%

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

Chen

Thimm

2008

J Intell Manuf

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“…The approach taken by Gaines and Hayes [5] requires that all tools be read by the feature recognition as a two-dimensional contour. This creates another option for the above part.…”

Section: Lack Of Feature Recognition Integrationmentioning

confidence: 99%

Robustness and generality issues of feature recognition for CNC machining

Ibrahim

McCormack

2004

Int J Adv Manuf Technol

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The problems of multiple interpretations and feature interactions that occur in attributed adjacency (AA)-based feature extraction systems result from a lack of robustness in the recognition algorithm when deviations from the feature definitions occur. This stems from the fact that individual graphs are stored in the feature taxonomy and once multiple graphs interact the interaction issue occurs. In this paper, a new method is presented for defining features based on a type of hint-based taxonomy, which is rare in boundary representation schemes. This new method still uses the traditional AA graph and matrix to define the part but does not extract subgraphs. It is shown that identifying only one face and then proceeding can find a feature. The modified attributed adjacency (MAA) scheme is used to define the part which allows more information to be stored in the part representation (graph or matrix), and this allows multiple interpretations to be solved.

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“…In generating NC programs, skilled NC programmers apply their machining knowledge to choose cutting conditions, tools and method, and sometimes experienced machinists modify the NC programs in situ based on their machining know-how and the speci® c environment. In this sense, it can be considered that a high-quality NC program contains optimal cutting conditions and machining strategies (Li et al 1994, Gaines andHayes 1999). For a particular machining feature, there is a set of corresponding optimal cutting conditions, operation sequences and machining strategies.…”

Section: Description Of Machining Know-howmentioning

confidence: 99%

Extraction of milling know-how from NC programs through reverse engineering

Yan

Yamazaki

Liu

2000

International Journal of Production Research

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To automate machining process planning, the acquisition and representation of machining knowledge or know-how in a reusable way is needed. The machining know-how is implied in NC programs made by experienced workers. In this paper, the methodology and system for extracting machining know-how in milling operations have been developed. With the system, machining features, operations and their associated cutting conditions (depth of cut, feed rate and spindle speed, etc.) and machining method can be extracted by analysing NC programs in conjunction with the tools used and workpiece blank model. The milling know-how is represented as a collection of these extracted data that can be used in future machining operations. To verify the system, actual NC programs for milling have been analysed and the milling know-how has been extracted successfully. Introduction Existing manufacturing de® ciencyAs the manufacturing paradigm is shifting from skill based to knowledge based, and operation is shifting from a local to a global scale, manufacturing expertise becomes more and more critical in sustaining the competitive manufacturing operation. As the experienced workforce is decreasing nowadays while new operators still do not have enough expertise to fully utilize the functions built in today's highperformance CNC machine tools, the manufacturing know-how of these skilled workers needs to be retained as intelligence in future manufacturing (Dong and Vijayan 1997).On the other hand, as machine tools evolve to achieve even higher performance (higher productivity and accuracy), they require highly skilled operators for full utilization of their performance. Moreover, some high-speed CNC machine tools cannot securely and e ciently be operated even by the skilled operators because they require careful and innovative operation planning schemes. Such an operation planning method requires new and sophisticated machining principles that have not yet been experienced by conventionally experienced machine tool operators and production engineers (Chan and Yamazaki 1997). Without a reliable manufacturing knowledge or know-how database, state-of-the-art machine tools cannot be fully utilized.In order to achieve highly e cient manufacturing, CNC machining based on CAD

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Custom-Cut: a customizable feature recognizer

Cited by 33 publications

References 8 publications

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

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

Robustness and generality issues of feature recognition for CNC machining

Extraction of milling know-how from NC programs through reverse engineering

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