Milling Tool Wear Estimation Based on Regression Analysis and Fuzzy Logic Model Using Cutting Power Signals | |
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( Volume 1 Issue 5,November 2015 ) OPEN ACCESS | |
Author(s): | |
Chuangwen Xu , Ting Xu, Jianming Dou | |
Abstract: | |
In a modern machining system, tool wear monitoring systems are needed to get higher quality production. In precision machining processes especially surface quality of the manufactured part can be related to tool wear. This increases industrial interest for in-process tool wear monitoring systems. For modern unmanned manufacturing process, an integrated system composed of sensors, signal processing interface and intelligent decision making model are required. In this study, regression analysis and fuzzy logic method use the relationship between flank wear and the resultant cutting power to estimate tool wear. A series of experiments were conducted to determine the relationship between flank wear and cutting power as well as cutting parameters. Speed, feed, depth of cutting and cutting power were used as input parameters and flank wear width and tool state were output parameters. The network model of tool wear is established, so the inherent relation of tool wear and cutting power was reflected indirectly. It is used to cutting parameters to adjust the network part parameters in real-time so that the model has dynamic, real-time and fuzziness. In variable cutting conditions, the result indicated that the tool wear are more sensitive to cutting feed power. Because the processing situation and other factors are of different sensitivity to the model of spindle power and feed power , the further applied the tool wear method, to eliminate the false deduction and the false alarm lied in the single signal , the proposed fusion pattern is better than the single factor cutting power recognition of tool wear in full detection recognition effect. According to the proposed method, the static and dynamic power components could provide the effective means to detect milling tool wear estimation for varying cutting conditions in milling operation. |
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