Design of a Maximally Permissive Liveness-enforcing Supervisor with Reduced Complexity for Automated Manufacturing Systems

2014 ◽  
Vol 17 (1) ◽  
pp. 190-201 ◽  
Author(s):  
ShouGuang Wang ◽  
MengChu Zhou ◽  
WenHui Wu
Keyword(s):  
Manufacturing Systems ◽  
Automated Manufacturing ◽  
Automated Manufacturing Systems ◽  
Reduced Complexity

scholarly journals Improved Multi-Step Look-Ahead Control Policies for Automated Manufacturing Systems

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 68824-68838 ◽  
Author(s):  
Chao Gu ◽  
Zhiwu Li ◽  
Naiqi Wu ◽  
Mohamed Khalgui ◽  
Ting Qu ◽  
...  
Keyword(s):  
Manufacturing Systems ◽  
Automated Manufacturing ◽  
Automated Manufacturing Systems ◽  
Control Policies ◽  
Look Ahead

Research on Tool Wear Based on Texture Fractal Dimension

2011 ◽  
Vol 66-68 ◽  
pp. 1163-1166
Author(s):  
Mao Jun Chen ◽  
Zhong Jin Ni ◽  
Liang Fang
Keyword(s):  
Fractal Dimension ◽  
Tool Wear ◽  
Surface Texture ◽  
Manufacturing Systems ◽  
Experimental Results ◽  
Machining Process ◽  
Work Piece ◽  
Automated Manufacturing ◽  
Automated Manufacturing Systems ◽  
Wear Condition

In automated manufacturing systems, one of the most important issues is the detection of tool wear during the machining process. The Hausdorff-Besicovitch (HB) dimension is used to analyze the feature of the surface texture of work-piece in this paper. The value of the fractal dimension of the work-piece surface texture tends to decrease with the machining process, due to the texture becoming more complex and irregular, and the tool wear is also becoming more and more serious. That can describe the inherent relationship between work-piece surface texture and tool wear. The experimental results demonstrate the probability of using the fractal dimension of work-piece surface texture to monitor the tool wear condition.

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