Thin Film Stress Sensor on the Tool Rake Face for Orthogonal Cutting

Author(s):  
Toshiyuki Obikawa ◽  
Kenji Yagi ◽  
Mamoru Hayashi

Abstract The evaluation of stress and temperature on the tool faces during machining is very important for understanding the fundamental mechanism of machining processes, developing cutting tools, optimizing cutting conditions. Although cutting temperature has been often measured using the tool-chip thermocouple method, a two-color pyrometer, etc., measurement of stress on the tool face has been hardly reported. For this reason, a cutting tool with a thin film stress sensor in the surface layer of the rake face was developed for orthogonal cutting. The film sensor was made of manganin, a copper-manganese-nickel alloy having piezoresistance effect. The manganin was coated on the rake face of polished silicon nitride matrix by magnetron sputtering in a specific pattern having a line 30 micrometer wide and 0.2 micrometer thick along the cutting edge. Then, the rake face was further coated with silicon nitride for protecting the thin stress sensor. After the calibration of the sensor, the tool was applied to orthogonal cutting experiment, in which MC Nylon and polyvinyl chloride were machined at a very low cutting speed. For four levels of uncut chip thickness from 0.05 to 0.20 mm the stress was measured for MC Nylon. The measured stress seems consistent with stress distributions measured by photoelasticity method reported so far.

2007 ◽  
Vol 329 ◽  
pp. 681-686 ◽  
Author(s):  
Toshiyuki Obikawa ◽  
Ali Basti ◽  
Jun Shinozuka

The finite difference method was applied to simulate temperature distribution in the workpiece, cutting zone and tool in the orthogonal cutting process with multilayer coated sintered alumina tools. The analysis was conducted under different cutting speeds, while experiments were carried out to measure temperatures in different positions of the tool rake face using tools with built-in thin film thermocouples developed by the authors. The temperature distribution calculated along the rake face was consistent with experimental data. This proved that the finite difference modeling developed can be applied to the prediction of cutting temperatures of aluminum alloys for a range of ultra high cutting speeds.


1995 ◽  
Vol 66 (3) ◽  
pp. 293-295 ◽  
Author(s):  
Q. Wen ◽  
D. R. Clarke ◽  
Ning Yu ◽  
M. Nastasi

2011 ◽  
Vol 268-270 ◽  
pp. 2077-2080
Author(s):  
Zi Yang Cao ◽  
Hua Li

A coupled thermo-mechanical model is used to simulate two-dimensional orthogonal cutting process based on simulation model of micro-cutting. The temperature effect in micro-cutting process is studied deeply through FEM combined with micro-cutting experiments. The results indicate that cutting temperature decreases at the tool-chip interface with reduction in uncut chip thickness at high cutting speed and large uncut chip thickness. The temperature drop tends to have a hardening effect on the material strength, which in turn causes an increase in the specific cutting energy.


2020 ◽  
Vol 902 ◽  
pp. 97-102
Author(s):  
Tran Trong Quyet ◽  
Pham Tuan Nghia ◽  
Nguyen Thanh Toan ◽  
Tran Duc Trong ◽  
Luong Hong Sam ◽  
...  

This paper presents a prediction of cutting temperature in turning process, using a continuous cutting model of Johnson-Cook (J-C). An method to predict the temperature distribution in orthogonal cutting is based on the constituent model of various material and the mechanics of their cutting process. In this method, the average temperature at the primary shear zone (PSZ) and the secondary shear zone (SSZ) were determined for various materials, based on a constitutive model and a chip-formation model using measurements of cutting force and chip thicknes. The J-C model constants were taken from Hopkinson pressure bar tests. Cutting conditions, cutting forces and chip thickness were used to predict shear stress. Experimental cutting heat results with the same cutting parameters using the minimum lubrication method (MQL) were recorded through the Testo-871 thermal camera. The thermal distribution results between the two methods has a difference in value, as well as distribution. From the difference, we have analyzed some of the causes, finding the effect of the minimum quantity lubrication parameters on the difference.


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