Abstract
To achieve efficient development of high-quality product, manufacturing constraints must be fully taken into account at the early design stage. However, designers lack in-depth knowledge of manufacturing and production. Many time-consuming iterations of design changes are required between designers and manufacturing engineers. In order to minimize this knowledge gap, this paper presents an ontology-based product design framework for manufacturability verification and knowledge reuse to support the sharing and reuse of design and manufacturing knowledge. It aims at providing advices and feedback of restraints of manufacturing processes to the designers during the design process. The proposed framework consists of three major layers which include a foundation layer, a domain layer, and an instance layer. We use the Web Ontology Language (OWL), a standard of ontology representation language, to formalize the foundation layer. It contains the core product model and the standard ISO 10303 AP224 application protocol. The domain layer comprises extensional concepts and relationships for design and manufacturing integration and a rule base for manufacturability verification, which is represented in Semantic Web Rule Language (SWRL). In the instance layer, an inference engine is developed based on ontology and rule inference. It provides recommendations of manufacturability. Two case studies are provided as application examples to demonstrate the effectiveness of the framework.
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References
Imran M, Young B (2015) The application of common logic based formal ontologies to assembly knowledge sharing. J Intell Manuf 26(1):139–158
Hong H, Yin Y, Chen X (2016) Ontological modelling of knowledge management for human–machine integrated design of ultra-precision grinding machine. Enterp Inf Syst 10(9):970–981
Anjum N, Harding JA, Young RIM, Case K (2012) Manufacturability verification through feature-based ontological product models. Proc Inst Mech Eng B J Eng Manuf 226(6):1086–1098
Ramos L (2015) Semantic Web for manufacturing, trends and open issues: toward a state of the art. Comput Ind Eng 90:444–460
Gruber TR (1993) A translation approach to portable ontology specifications. Knowl Acquis 5(2):199–220
Zhang D, Hu D, Xu Y (2010) A framework for ontology-based product design knowledge management. In Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on (Vol. 4, pp. 1751–1755). IEEE
Qin Y, Lu W, Qi Q, Li T, Huang M, Scott PJ, Jiang X (2016) Explicitly representing the semantics of composite positional tolerance for patterns of holes. Int J Adv Manuf Technol:1–17
Chen X, Chen CH, Leong KF, Jiang X (2013) An ontology learning system for customer needs representation in product development. Int J Adv Manuf Technol 67(1–4):441–453
He B, Song W, Wang Y (2013) A feature-based approach towards an integrated product model in intelligent design. Int J Adv Manuf Technol 69(1–4):15–30
W3C (2004) OWL web ontology language semantics and abstract syntax. 2004
Maedche A, Staab S (2001) Ontology learning for the semantic web. IEEE Intell Syst 16(2):72–79
Horrocks I, Patel PF-S, Boley H, Tabetm S, Grosof B, Dean M (2004) SWRL: a semantic web rule language combining OWL and RuleML
Baader F (2003) The description logic handbook: theory, implementation and applications. Cambridge university press
Sánchez-Macián A, Pastor E, de López Vergara J, López D (2007) Extending SWRL to enhance mathematical support. In: Web reasoning and rule systems. p. 358–60
Negri E, Fumagalli L, Garetti M, Tanca L (2016) Requirements and languages for the semantic representation of manufacturing systems. Comput Ind 81:55–66
Wu D, Rosen DW, Wang L, Schaefer D (2015) Cloud-based design and manufacturing: a new paradigm in digital manufacturing and design innovation. Comput Aided Des 59:1–14
Pahl G, Beitz W, Wallace K, Council D (1984) Engineering design (Vol. 984). London: Design Council
Ulrich KT, Eppinger SD (1995) Product design and development. McGraw-Hill, New York
Sutherland IE (1964) Sketchpad a man-machine graphical communication system. Transactions of the Society for Computer Simulation 2(5):R–3
Li WD, Lu WF, Fuh JY, Wong YS (2005) Collaborative computer-aided design—research and development status. Comput Aided Des 37(9):931–940
Qiang L, Zhang YF, Nee AYC (2001) A distributive and collaborative concurrent product design system through the WWW/Internet. Int J Adv Manuf Technol 17(5):315–322
Piller F, Vossen A, Ihl C (2011) From social media to social product development: the impact of social media on co-creation of innovation
Zhan P, Jayaram U, Kim OJ, Zhu L (2010) Knowledge representation and ontology mapping methods for product data in engineering applications. J Comput Inf Sci Eng 10(2):699–715
Štorga M, Andreasen MM, Marjanović D (2010) The design ontology: foundation for the design knowledge exchange and management. J Eng Des 21(4):427–454
Afacan Y, Demirkan H (2011) An ontology-based universal design knowledge support system. Knowl-Based Syst 24(4):530–541
Chungoora N, Young RI, Gunendran G, Palmer C, Usman Z, Anjum NA, Cutting-Decelle A, Harding JA, Case K (2013) A model-driven ontology approach for manufacturing system interoperability and knowledge sharing. Comput Ind 64(4):392–401
Jiang Y, Peng G, Liu W (2010) Research on ontology-based integration of product knowledge for collaborative manufacturing. Int J Adv Manuf Technol 49(9–12):1209–1221
Gorti SR, Gupta A, Kim GJ, Sriram RD, Wong A (1998) An object-oriented representation for product and design processes. Comput Aided Des 30(7):489–501
Chandrasegaran SK, Ramani K, Sriram RD, Horváth I, Bernard A, Harik RF, Gao W (2013) The evolution, challenges, and future of knowledge representation in product design systems. Comput Aided Des 45(2):204–228
Khan AA, Hussein HM, Nasr ESA, Al-Ahmari A (2015) Computer-aided process planning in prismatic shape die components based on Standard for the Exchange of Product model data. Adv Mech Eng, 7(11), 1687814015619828
ISO 10303-224 (2001) Industrial automation systems and integration—product data representation and exchange—part 224: application protocol: mechanical product definition for process planning using machining features
McGuinness DL, Van Harmelen F (2004) OWL web ontology language overview. W3C recommendation, 10(10), 2004
Friedmanhill EJ (1997) Jess, the java expert system shell. Office of Scientific & Technical Information Technical Reports
Umar MM, Mehmood A, Song H (2015) A survey on state-of-the-art knowledge-based system development and issues. Smart CR 5(6):498–509
Acknowledgements
This work was supported by the National Natural Science Foundation of China (51405089) and the Science and Technology Planning Project of Guangdong Province (2015B010131008).
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Li, Z., Zhou, X., Wang, W.M. et al. An ontology-based product design framework for manufacturability verification and knowledge reuse. Int J Adv Manuf Technol 99, 2121–2135 (2018). https://doi.org/10.1007/s00170-018-2099-2
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DOI: https://doi.org/10.1007/s00170-018-2099-2