Tian Chen
Shanghai Jiao Tong University

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Indonesian Journal of Electrical Engineering and Computer Science

Research on Nuclear Channel Head CAD System Tian Chen; Zhonghai Yu
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 8: December 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

To enable the designers to design and modify model of nuclear channel head quickly and easily, we constructed the CAD system of the nuclear channel head. At first, we analyzed the geometric characteristics of nuclear channel, established of feature control parameter set and the parametric model of nuclear channel head. Secondly, other parameters related to the solid modeling are described through the parameter control set. Thus, the feature solid modeling of head shell surface, nozzle and boss are programmed. Finally, it is proved that the method and development strategy of parametric CAD system is effective by using automatic design example of nuclear channel head which is developed through CAD system of nuclear channel head. DOI: http://dx.doi.org/10.11591/telkomnika.v10i8.1689
Research on an Intelligent Automatic Turning System Tian Chen; Zhonghai Yu; Lichong Huang
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 8: December 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Equipment manufacturing industry is the strategic industries of a country. And its core part is the CNC machine tool. Therefore, enhancing the independent research of relevant technology of CNC machine, especially the open CNC system, is of great significance. This paper presented some key techniques of an Intelligent Automatic Turning System and gave a viable solution for system integration. First of all, the integrated system architecture and the flexible and efficient workflow for perfoming the intelligent automatic turning process is illustrated. Secondly, the innovated methods of the workpiece feature recognition and expression and process planning of the NC machining are put forward. Thirdly, the cutting tool auto-selection and the cutting parameter optimization solution are generated with a integrated inference of rule-based reasoning and case-based reasoning. Finally, the actual machining case based on the developed intelligent automatic turning system proved the presented solutions are valid, practical and efficient. DOI: http://dx.doi.org/10.11591/telkomnika.v10i8.1690