Influence of Coating in Square End Mill Using In-Process Tool Wear Detection Based on Electrical Contact Resistance

2019 ◽  
Vol 13 (1) ◽  
pp. 125-132
Author(s):  
Amine Gouarir ◽  
Syuhei Kurokawa ◽  
Takao Sajima ◽  
Mitsuaki Murata ◽  
◽  
...  

In this paper, a method using electrical contact resistance to monitor in-process tool wear is proposed. The high-speed tool wear detection system uses the contact resistance between the tool and workpiece as an indicator to monitor the progression of tool wear during cutting operations. The electrical resistance decreases with an increase in contact area on the tool flank. In our previous study, the objective was an end milling process using uncoated square end mills. In this experiment, our targets are solid and throw away coated square end mills. The experiment shows the present method to also be effective as an in-process tool wear detection system for coated square end mills.

2016 ◽  
Vol 10 (5) ◽  
pp. 767-772 ◽  
Author(s):  
Amine Gouarir ◽  
◽  
Syuhei Kurokawa ◽  
Takao Sajima ◽  
Mitsuaki Murata ◽  
...  

This paper presents a method for in-process detection of tool wear in square end mills. The developed high-speed tool wear detection system uses the contact resistance between the tool and workpiece as a gauge to monitor the progression of tool wear. The electrical resistance decreases with an increase in contact area on the tool flank. In the experiments conducted in our previous study, the target was the face milling process. In the present study, the experiments were conducted on down cut milling with a square end mill. The results are presented based on the observations made on the relationship between the area of tool flank wear and tool-work contact resistance. In conclusion, the results of the experiment show that the present tool wear detection system is effective as an in-process tool wear detection system for square end mills.


2012 ◽  
Vol 6 (4-5) ◽  
pp. 431-437 ◽  
Author(s):  
Jilin Zhang ◽  
Chen Zhang ◽  
Song Guo ◽  
Laishui Zhou

2007 ◽  
Vol 339 ◽  
pp. 189-194
Author(s):  
Su Yu Wang ◽  
Xing Ai ◽  
Jun Zhao

Predictive models are presented for the surface roughness in high-speed end milling of 0.45%C steel and P20 die-mould steel based on statistical test and multiple-regression analysis. The data for establishing model is derived from experiments conducted on a high-speed machining centre by factorial design of experiments. The significances of the regression equation and regression coefficients are tested in this paper. The effects of milling parameters on surface roughness are investigated by analyzing the experimental curves.


2011 ◽  
Vol 201-203 ◽  
pp. 332-336
Author(s):  
Chun Lin Fu ◽  
Cong Kang Wang ◽  
Tie Gang Li ◽  
Wan Shan Wang

To resolve the problem of the parts deformation because of the milling force, a finite element model (FEM) of end milling process simulation in milling force field was established. On the base of FEM, we simulate the high-speed end milling type structure of aluminum alloy 7075 parts. We successfully predict the end milling force, obtain the effect between the upper and lower material to the milling force, and Mises stress and the tool length beyond the part.The simulation results show that the lower material can increase the milling force to upper, and upper material can decrease milling force to lower layer.The drilling tool length beyond the part is about 0.5 mm .


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