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Manufacturability verification through feature-based ontological product models

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Manufacturability verification through feature-based ontological product models. / Anjum, Najam.
In: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 01.01.2012.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Anjum, N 2012, 'Manufacturability verification through feature-based ontological product models', Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture.

APA

Anjum, N. (2012). Manufacturability verification through feature-based ontological product models. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture.

Vancouver

Anjum N. Manufacturability verification through feature-based ontological product models. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 2012 Jan 1.

Author

Anjum, Najam. / Manufacturability verification through feature-based ontological product models. In: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 2012.

Bibtex

@article{32eebc70d5664a8c99d96ee4799deb42,
title = "Manufacturability verification through feature-based ontological product models",
abstract = "To achieve efficient, fast and cost effective production, designers must consider all the manufacturing stages a product has to go through. A case study in a manufacturing setup shows that owing to the differences in perception of an engineering component, the coordination between design and manufacturing becomes difficult. Semantic interoperability problems are therefore faced when knowledge sharing for the purpose of manufacturability verification is attempted through computer-based knowledge bases. Ontologies have a reputation for solving semantic interoperability problems. Combined with shape feature-based models of components, ontologies provide a basis for seamless knowledge sharing. This article demonstrates the use of ontologies for analyzing the manufacturability of engineering components in the early design stages. This is done by developing shape feature-based ontological models of these components and associating manufacturability knowledge with these models. To achieve this, an ontological modelling technique is proposed that uses shape feature-based geometrical models of engineering components as building blocks. The knowledge associated with these models to demonstrate their use for manufacturability verification is derived from the findings of a case study also detailed in this article. ",
author = "Najam Anjum",
year = "2012",
month = jan,
day = "1",
language = "English",
journal = "Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture",
issn = "0954-4054",
publisher = "SAGE Publications Inc.",

}

RIS

TY - JOUR

T1 - Manufacturability verification through feature-based ontological product models

AU - Anjum, Najam

PY - 2012/1/1

Y1 - 2012/1/1

N2 - To achieve efficient, fast and cost effective production, designers must consider all the manufacturing stages a product has to go through. A case study in a manufacturing setup shows that owing to the differences in perception of an engineering component, the coordination between design and manufacturing becomes difficult. Semantic interoperability problems are therefore faced when knowledge sharing for the purpose of manufacturability verification is attempted through computer-based knowledge bases. Ontologies have a reputation for solving semantic interoperability problems. Combined with shape feature-based models of components, ontologies provide a basis for seamless knowledge sharing. This article demonstrates the use of ontologies for analyzing the manufacturability of engineering components in the early design stages. This is done by developing shape feature-based ontological models of these components and associating manufacturability knowledge with these models. To achieve this, an ontological modelling technique is proposed that uses shape feature-based geometrical models of engineering components as building blocks. The knowledge associated with these models to demonstrate their use for manufacturability verification is derived from the findings of a case study also detailed in this article.

AB - To achieve efficient, fast and cost effective production, designers must consider all the manufacturing stages a product has to go through. A case study in a manufacturing setup shows that owing to the differences in perception of an engineering component, the coordination between design and manufacturing becomes difficult. Semantic interoperability problems are therefore faced when knowledge sharing for the purpose of manufacturability verification is attempted through computer-based knowledge bases. Ontologies have a reputation for solving semantic interoperability problems. Combined with shape feature-based models of components, ontologies provide a basis for seamless knowledge sharing. This article demonstrates the use of ontologies for analyzing the manufacturability of engineering components in the early design stages. This is done by developing shape feature-based ontological models of these components and associating manufacturability knowledge with these models. To achieve this, an ontological modelling technique is proposed that uses shape feature-based geometrical models of engineering components as building blocks. The knowledge associated with these models to demonstrate their use for manufacturability verification is derived from the findings of a case study also detailed in this article.

UR - https://dspace.lboro.ac.uk/2134/13133

M3 - Journal article

JO - Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

JF - Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

SN - 0954-4054

ER -