Ahmed A D Sarhan
University of Malaya, Malaysia
Posters-Accepted Abstracts: Ind Eng Manage
Owing to technical advances in CNC technology, the productivity and accuracy of machining process has been drastically increased. The CNC has enabled machine tools to move faster to be more accurate and more flexible. Compared with the advancement of the motion control, the control for machining process still has a lot of issues. Although there are several successful results applied in the market, the adaptive functions have not become general for machine tools especially for machining centers. This is because feedback control itself has time lag and it is difficult to control the process to enhance productivity while avoiding the unexpected situation such as tool breakage. This indicates that the combination of feed forward approach associated with CAM is necessary. Another reason is lack of monitoring capabilities. Adding expensive sensors is not welcomed by machine tool builders as they are always on the competitive edge. On the other hand, monitoring quality is very important in order to associate monitored information with prompt decision-making processes. We have been developing Intelligent Machine Tool (IMT) system that can autonomously determine machining conditions and adapt them according to the monitoring of actual machining processes in an intelligent manner. This research work describes the concept, configuration of the system and developed functions.
Email: ah_sarhan@yahoo.com
Industrial Engineering & Management received 739 citations as per Google Scholar report
Spanish 
Chinese 
Russian 
German 
French 
Japanese 
Portuguese 
Hindi 