An ontology-based product design framework for manufacturability verification and knowledge reuse

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.

[1]  Wei Song,et al.  A feature-based approach towards an integrated product model in intelligent design , 2013 .

[2]  Mogens Myrup Andreasen,et al.  The design ontology: foundation for the design knowledge exchange and management , 2010 .

[3]  E. J. Friedman-hill,et al.  Jess, the Java expert system shell , 1997 .

[4]  Andrew Y. C. Nee,et al.  A Distributive and Collaborative Concurrent Product Design System through the WWW/Internet , 2001 .

[5]  Ivan E. Sutherland,et al.  Sketchpad a Man-Machine Graphical Communication System , 1964 .

[6]  Letizia Tanca,et al.  Requirements and languages for the semantic representation of manufacturing systems , 2016, Comput. Ind..

[7]  Lijuan Zhu,et al.  Knowledge Representation and Ontology Mapping Methods for Product Data in Engineering Applications , 2010, J. Comput. Inf. Sci. Eng..

[8]  Xing Jiang,et al.  An ontology learning system for customer needs representation in product development , 2013 .

[9]  Luis Ramos,et al.  Semantic Web for manufacturing, trends and open issues: Toward a state of the art , 2015, Comput. Ind. Eng..

[10]  Jorge E. López de Vergara,et al.  Extending SWRL to Enhance Mathematical Support , 2007, RR.

[11]  Gaoliang Peng,et al.  Research on ontology-based integration of product knowledge for collaborative manufacturing , 2010 .

[12]  Xing Chen,et al.  Ontological modelling of knowledge management for human–machine integrated design of ultra-precision grinding machine , 2016, Enterp. Inf. Syst..

[13]  Yoke San Wong,et al.  Collaborative computer-aided design - research and development status , 2005, Comput. Aided Des..

[14]  Awais Ahmad Khan,et al.  Computer-aided process planning in prismatic shape die components based on Standard for the Exchange of Product model data , 2015 .

[15]  F. Piller,et al.  From Social Media to Social Product Development: The Impact of Social Media on Co-Creation of Innovation , 2012 .

[16]  Alain Bernard,et al.  The evolution, challenges, and future of knowledge representation in product design systems , 2013, Comput. Aided Des..

[17]  Diego Calvanese,et al.  The Description Logic Handbook: Theory, Implementation, and Applications , 2003, Description Logic Handbook.

[18]  Anne-Françoise Cutting-Decelle,et al.  A model-driven ontology approach for manufacturing system interoperability and knowledge sharing , 2013, Comput. Ind..

[19]  Yasemin Afacan,et al.  An ontology-based universal design knowledge support system , 2011, Knowl. Based Syst..

[20]  Karl T. Ulrich,et al.  Product Design and Development , 1995 .

[21]  Steffen Staab,et al.  Ontology Learning for the Semantic Web , 2002, IEEE Intell. Syst..

[22]  Ram D. Sriram,et al.  An object-oriented representation for product and design processes , 1998, Comput. Aided Des..

[23]  Dazhong Wu,et al.  Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation , 2015, Comput. Aided Des..

[24]  Yuchun Xu,et al.  A framework for ontology-based product design knowledge management , 2010, 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery.

[25]  Paul J. Scott,et al.  Explicitly representing the semantics of composite positional tolerance for patterns of holes , 2017 .

[26]  H. Lan,et al.  SWRL : A semantic Web rule language combining OWL and ruleML , 2004 .

[27]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993, Knowl. Acquis..

[28]  Houbing Song,et al.  A Survey on State-of-the-Art Knowledge-based System Development and Issues , 2015, Smart Comput. Rev..

[29]  Robert I. M. Young,et al.  The application of common logic based formal ontologies to assembly knowledge sharing , 2015, J. Intell. Manuf..

[30]  Keith Case,et al.  Manufacturability verification through feature-based ontological product models , 2012 .