“…Therefore, during transformation along engineering processes, engineering intent is not maintained and very often lost in downstream processes. Thirdly, non-geometric Schulte et al 1993;Feng et al 1996;Anderl and Mendgen 1996;Mukherjee and Liu 1997;Whitney et al 1999;Khoshnevis et al 1999;Stage et al 1999;Brunetti and Golob 2000;Park 2003 constraints specified among features are satisfied. For example, different machining sequences may influence the presence, shape, volume, and validity of machining features (Regli and Pratt 1996;Faheem et al 1998;Sharma and Hayes 2001).…”
Section: Using Features To Maintain a Product Model's Validitymentioning
confidence: 99%
“…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%
“…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%
“…However, they are usually not well formulated and maintained for the reason that they often cannot be fully represented as numerical constraints. Furthermore, it is the engineering intent that actually controls the generation of a product model (Stage et al 1999;Park 2003). The associations between engineering intent and the corresponding features have to be established and managed in order to allow product validation.…”
Section: Persistent Representation For Non-geometric Associationsmentioning
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
“…Therefore, during transformation along engineering processes, engineering intent is not maintained and very often lost in downstream processes. Thirdly, non-geometric Schulte et al 1993;Feng et al 1996;Anderl and Mendgen 1996;Mukherjee and Liu 1997;Whitney et al 1999;Khoshnevis et al 1999;Stage et al 1999;Brunetti and Golob 2000;Park 2003 constraints specified among features are satisfied. For example, different machining sequences may influence the presence, shape, volume, and validity of machining features (Regli and Pratt 1996;Faheem et al 1998;Sharma and Hayes 2001).…”
Section: Using Features To Maintain a Product Model's Validitymentioning
confidence: 99%
“…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%
“…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%
“…However, they are usually not well formulated and maintained for the reason that they often cannot be fully represented as numerical constraints. Furthermore, it is the engineering intent that actually controls the generation of a product model (Stage et al 1999;Park 2003). The associations between engineering intent and the corresponding features have to be established and managed in order to allow product validation.…”
Section: Persistent Representation For Non-geometric Associationsmentioning
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
“…Stage et al [23] proposed a machining resourcebased, objective driven and hence flexible method for embedding manufacturing knowledge into a machining feature generation process. Chu and Gadh [24], Kumar et al [25], and Subrahmanyam [26] discussed that fixturing features should be generated from the considerations of minimizing set-ups, preventing interferences and providing sufficient clamping forces and moments.…”
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.