A categorical framework for formalising knowledge in additive manufacturing

Research output: Contribution to journalArticle

Abstract

Additive manufacturing (AM) changes the way products are designed, manufactured and measured. It enables the fabrication of components with complex geometries and customisable material properties. However traditional design rules or guidelines are no longer applicable for AM. As a result design for additive manufacturing lacks of formal and structured design principles and guidelines. It urges a comprehensive system that can help designers and engineers understand for example how the geometrical design and process parameters will affect each other, and how to configure process parameters to meet specifications. In this paper a set of category ontologies has been developed to formalise fundamental/general knowledge of design and process for AM. A collection of design guidelines and rules are encapsulated and modelled into categorical structures. The formalisation of knowledge of AM will enable existing fundamental/general knowledge of AM process and state-of-the-art designing cases computer-readable and to be interrogated and reasoned, and then can be integrated into CAx platforms.

Fingerprint

3D printers
Ontology
Materials properties
Specifications
Engineers
Fabrication
Geometry

Cite this

@article{4885ca209b184156ae6f1a8022c98a97,
title = "A categorical framework for formalising knowledge in additive manufacturing",
abstract = "Additive manufacturing (AM) changes the way products are designed, manufactured and measured. It enables the fabrication of components with complex geometries and customisable material properties. However traditional design rules or guidelines are no longer applicable for AM. As a result design for additive manufacturing lacks of formal and structured design principles and guidelines. It urges a comprehensive system that can help designers and engineers understand for example how the geometrical design and process parameters will affect each other, and how to configure process parameters to meet specifications. In this paper a set of category ontologies has been developed to formalise fundamental/general knowledge of design and process for AM. A collection of design guidelines and rules are encapsulated and modelled into categorical structures. The formalisation of knowledge of AM will enable existing fundamental/general knowledge of AM process and state-of-the-art designing cases computer-readable and to be interrogated and reasoned, and then can be integrated into CAx platforms.",
keywords = "Additive Manufacturing (AM), geometrical variability, process parameters",
author = "Qunfen Qi and Luca Pagani and Scott, {Paul J} and Xiangqian Jiang",
year = "2018",
month = "9",
day = "3",
doi = "10.1016/j.procir.2018.04.076",
language = "English",
volume = "75",
pages = "87--91",
journal = "Procedia CIRP",
issn = "2212-8271",
publisher = "Elsevier",

}

TY - JOUR

T1 - A categorical framework for formalising knowledge in additive manufacturing

AU - Qi,Qunfen

AU - Pagani,Luca

AU - Scott,Paul J

AU - Jiang,Xiangqian

PY - 2018/9/3

Y1 - 2018/9/3

N2 - Additive manufacturing (AM) changes the way products are designed, manufactured and measured. It enables the fabrication of components with complex geometries and customisable material properties. However traditional design rules or guidelines are no longer applicable for AM. As a result design for additive manufacturing lacks of formal and structured design principles and guidelines. It urges a comprehensive system that can help designers and engineers understand for example how the geometrical design and process parameters will affect each other, and how to configure process parameters to meet specifications. In this paper a set of category ontologies has been developed to formalise fundamental/general knowledge of design and process for AM. A collection of design guidelines and rules are encapsulated and modelled into categorical structures. The formalisation of knowledge of AM will enable existing fundamental/general knowledge of AM process and state-of-the-art designing cases computer-readable and to be interrogated and reasoned, and then can be integrated into CAx platforms.

AB - Additive manufacturing (AM) changes the way products are designed, manufactured and measured. It enables the fabrication of components with complex geometries and customisable material properties. However traditional design rules or guidelines are no longer applicable for AM. As a result design for additive manufacturing lacks of formal and structured design principles and guidelines. It urges a comprehensive system that can help designers and engineers understand for example how the geometrical design and process parameters will affect each other, and how to configure process parameters to meet specifications. In this paper a set of category ontologies has been developed to formalise fundamental/general knowledge of design and process for AM. A collection of design guidelines and rules are encapsulated and modelled into categorical structures. The formalisation of knowledge of AM will enable existing fundamental/general knowledge of AM process and state-of-the-art designing cases computer-readable and to be interrogated and reasoned, and then can be integrated into CAx platforms.

KW - Additive Manufacturing (AM)

KW - geometrical variability

KW - process parameters

U2 - 10.1016/j.procir.2018.04.076

DO - 10.1016/j.procir.2018.04.076

M3 - Article

VL - 75

SP - 87

EP - 91

JO - Procedia CIRP

T2 - Procedia CIRP

JF - Procedia CIRP

SN - 2212-8271

ER -