Title :
Ontological Knowledge Capture for the Design of Ultra-Precision Hydrostatic Guideways Based on Imaginal Thinking
Author :
Xing Chen ; Haibo Hong ; Yuehong Yin
Author_Institution :
Stage Key Lab. of Mech. Syst. & Vibration, Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
Aiming at the complex mechatronic design of ultra-precision grinding machine, especially its key component -- the ultra-precision hydrostatic guideways system, this paper proposed a design knowledge capture method based on ontology, which helps create a consensual knowledge model as well as the database of hydrostatic guideways. Based on the imaginal thinking theory, the search process and the results are attempted to be presented in the form of image in order to fit human´s customary intuitive thinking frame, facilitating the decision making process. Moreover, the epistemological descriptions toward the design parameters of the hydrostatic guideways are provided to specify the corresponding design principles. Finally, our design of hydrostatic guideways in an ultra-precision grinding machine is used to exemplify the effectiveness of the method.
Keywords :
decision making; design engineering; grinding machines; hydrostatics; mechanical engineering computing; mechanical guides; mechatronics; ontologies (artificial intelligence); search problems; complex mechatronic design; decision making process; design knowledge capture method; design parameter; epistemological description; human customary intuitive thinking frame; imaginal thinking theory; ontological knowledge capture; ontology; search process; ultra-precision grinding machine; ultra-precision hydrostatic guideways system; Accuracy; Films; Grinding machines; Knowledge based systems; Ontologies; Stability analysis; imaginal thinking; knowledge capture; ontology; ultra-precision hydrostatic guideways;
Conference_Titel :
Enterprise Systems Conference (ES), 2014
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-5553-4