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Product design and process reuse study


Is: where the object can be a product with specific features, can also be composed of basic components of a product can even be a part. The data set is directly related to the object matching the efficiency and accuracy, therefore, the product (or object) of the property division will be very important. The different attributes by product type, product attribute similarity is divided into three different types of .... ① When the value of property is determined, its similarity to IlS (x ,,,)= 1 a, x, yE [a, Lu] p-② When the property is the fuzzy value, the similarity S (x, ,,) = 1-!,(,,) x) l ③ When the solution with a range of data to determine a, b] of the similarity,Beats By Dre Studio, fbS (x, [8, b]) = JS (x, t) dt / (b-8). With L. . . . . Two J product (object) A and B, the similarity between the calculation as follows: first calculate the properties of A and B corresponding to the similarity between S (a., B.),. s (, b), ... ...,. s (, b), then use the weighted arithmetic average method for the similarity between A and B n-degree, ie S (A, B) =. s (,). ; ② computer to retrieve reusable knowledge base, identify with attributes set (or set of key attributes) the same for all products; ③ design products and were calculated to be similarity between them, and find the biggest similarity of products; ④ Finally the product design knowledge is the basis for the design of the proposed design of the product. Complete knowledge reuse process. 4 Conclusion reuse product design process is a complicated systematic project, to achieve. Ideal reuse design effect, it is first necessary to establish a collaborative design environment; the design and production of a variety of different types of products, businesses, should be re-designed with the technical requirements of different types of reusable knowledge are stored, so similarity matching was more accurate, it only has the availability; to improve product performance, reusable knowledge base to be able to self-learning, that through the design of the products involved in the case library to automatically extract knowledge,herve leger sale, and the results stored in the knowledge library; adding the relevant data dictionary to facilitate quick retrieval later. References [1] Ying-Lin Wang, Wang Weidong, WANG Zong-jiang, et al. Ontology-based knowledge management platform reconfigurable [J]. Computer integrated manufacturing systems, 2003,9 (12): 1l36-l144. [2] Wang. Product design reuse support system of EJ]. Mechanical Science and Technology, 2004,23 (6) :643 -646. [3] Wang, Xing Yuan, Ruan. Mechanical product design reuse strategy study [J]. Mechanical Engineering, 2002,38 (5) :145-148. [4] PENG. On the component-based knowledge management system [J]. Computer System, 2004 (5) :76-78. [5] Wu Anbo,vibram five fingers outlet, Geng Ying three, Wang Jianhua, et al. ObjectWeb technology is based on XML and application of knowledge product development environment [J]. Computer Engineering and Applications, 2002, 38 (18) :47-49. [6] Hu Yujie, Li Shanping, Guo Ming. Ontology-based product knowledge representation [J]. Computer Aided Design and Computer Graphics, 2003,15 (12) :1531-1537. [7] Pan Xing, Wang Jun, Liu Lu. Digital manufacturing enterprise integrated knowledge management framework and key technologies [J]. Computer Integrated Manufacturing System, 2004 (12) :90-95. [8] Xu-Wei Pan, Jian Gu, Chouyuan Fu, et al. For knowledge management, knowledge modeling [J]. Computer integrated manufacturing systems, 2003,tods shoes outlet,9 (7) :518-521. [9] SlonimTY, SchneiderM. Designissuesinfuzzycase-basedreasoning [J]. FuzzySetsandSystems ,2001,117:251-267. [10] Sun Xiaobin. Case-based knowledge of the design model [D]. Xi'an: Northwestern University, 1999. [11] Tsai Wen-Qin, Peng Peilin, Jiang Shou. Aviation products and reuse of design knowledge that research [J]. Computer Integrated Manufacturing System, 2004,10 (1) :55-58. (Trench Series Li-Ming) Author: Zhang Zheng (197o-),Beats By Dre Headphones, male, associate professor, main research areas of mechanical and electrical engineering, intelligent control, fault diagnosis. Received date :2006-11-10-machine maple engineers 2007 3 l39
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