Title :
A New Network Collaborative Manufacturing Based on the STEP-NC
Author :
Han, Jianhua ; Juan Du ; Yan, Xianguo
Author_Institution :
Dept. of Machinery & Electron. Eng., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
Abstract :
In order to meet the open and networked needs of NC technology, a new STEP-NC standard has become the latest study direction. Based on the differences between the traditional NC procedure and STEP-NC, the paper provides a new network collaborative manufacturing, which includes two parts, product design and manufacturing process that are set to be monitored. Consequently, space restrictions are broken through in product design and manufacturing process. The paper also studies the corresponding relations between EXPRESS and XML and brings self-learning mechanism into the key part-EXPRESS/XML transformation mechanism by detailed instances. The mechanism of EXPRESS/XML transformation includes writing module, transformation module, correcting module and setting up XML-Schema, which is stored it in network database server by using self-learning mechanism. In this way, the study finally attains the aim of shorting the development period, increasing efficiency, extending the utilization of STEP-NC in networked manufacturing. This study offers new insights for data transformation in network collaborative manufacturing and expands the application of STEP-NC in networked manufacturing.
Keywords :
XML; learning (artificial intelligence); numerical control; product design; EXPRESS/XML transformation; STEP-NC standard; XML schema; correcting module; manufacturing process; network collaborative manufacturing; product design; self-learning mechanism; space restrictions; transformation module; writing module; Computer numerical control; Data models; Databases; ISO; ISO standards; Manufacturing; XML; STEP-NC; XML; network collaborative manufacturing; transformation mechanism;
Conference_Titel :
Computational Aspects of Social Networks (CASoN), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-8785-1
DOI :
10.1109/CASoN.2010.141