In this paper, a new component assembly library for mechanical devices is presented. Component modeling is the key technology, and component library is also an important functional module, which is a tool for instruction design in the mechanical devices. Mechanical properties are mentioned. Interactions between the component design process and the component library are realized. This paper covers the details about the implementation of the component library. The process of traditional mechanical design is simplified with the component library. Consequently, the design and development time for mechanical device instructions can be significantly shortened.
Machinery and equipment descriptions play an important role in the design and manufacturing of industrial machinery devices and help reducing the design time and manufacturing costs of machinery devices. However, one of the main obstacles to realize efficient device design and manufacturing is the lack of effective semantic description method because of the surprisingly increasing volume and semantically fuzzy natures of the industrial device descriptions. To overcome this problem, this paper presents a novel fuzzy ontology-based device description method and implements the intelligent device retrieval and representation system based on the fuzzy ontology. The fuzzy inference and semantic fusion mechanisms of this approach are demonstrated.
The reconfigurable manufacturing system is a cost-effective system that can accommodate a variety of equipments required by customers. However, because of the surprisingly increasing volume and semantically fuzzy nature of the equipment information, one of the main difficulties to realize efficient equipment reconfiguration is the lack of effective equipment representation technologies and semantic description methods. In this paper, a fuzzy ontology model is proposed for storing semantic concepts in the reconfigurable manufacturing system. To discuss fuzzy inference mechanism has indicated that the fuzzy ontology-based method can promote productivity of the reconfigurable manufacturing system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.