OntoIMM: An Ontology for Product Intelligent Master Model

Abstract

Information organizing principle is one of the key issues of intelligent master model (IMM), which is an enhancement of the master model (MM) based on KBE (knowledge-based engineering). Despite the fact that the core product model (CPM) has been confirmed to be an organizing mechanism for product master model, the key issue of supporting the information organizing for IMM is not yet well addressed, mainly due to the following two reasons; (1) lack of representation of complete information and knowledge with regard to product and process, including the know-why, know-how, and know-what information and knowledge, and (2) lack of semantic richness. Therefore, a multiaspect extension to CPM was first defined, and then an ontology was constructed to represent the information and design knowledge. The extension refers to adding a design process model, context model, product control structure model, and design rationale model to CPM concerning the enhancement of master model, which is to comprehensively represent the reason, process, and result information and knowledge of theproduct. The ontology construction refers to representing the concepts, relationships among these concepts and consistency rules of IMM information structure. Finally, an example of barrel design and analysis process is illustrated to verify the effectiveness of proposed method.

A Hierarchical Integrated Modeling Method for the Digital Twin of Mechanical Products

“…Qin et al [47] used hierarchical feature ontology and ontology mapping to improve the retrieval performance of heterogeneous product computer-aided design (CAD) models. Based on the enhancement of the main model, Yu et al [48] extended the design process model, context model, product control structure model, and design principle model. They constructed an ontology to express the product and design information.…”

The Systematic Design of Industrial Products through Design Archetypes: An Application on Mechanical Transmissions

“…The feature design can be automated, also taking into account technology specific data. Many case studies can be retrieved from the literature such as, describing a tool for designing hot forging dies [16], a tool for developing virtual prototypes of multifunctional agricultural machines based on real component behavior [17], a web-based tool for identifying the undercut feature of molds for injection molding and for the automatic design of parting surface [18], a configuration tool for the generation of conceptual train geometry for design automation and reuse [19], an agent-based model representing product development as the learning and application of knowledge coming from product and development process data [20], an ontology representing the information and design knowledge in product design process [21], or a library of components for the automatic definition of the finite element model of an automotive structure [22]. Other works have focused on manufacturing the following: an ontology-based product design framework for manufacturability verification and knowledge reuse to support the sharing and reuse of design and manufacturing knowledge [23], a failure-assessment based design revision of manufacturing equipment based on the lessons learned from forensic metallurgical analysis [24], and an approach to capturing systematic knowledge for manufacturing process innovation [25].…”