2016
DOI: 10.1016/j.compeleceng.2015.09.016
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Investigation of milling cutting forces and cutting coefficient for aluminum 6060-T6

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Cited by 36 publications
(16 citation statements)
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“…On the other side, feed rate is decreased with respect to decreasing the chip load. Further, as reported in [7][8][9], cutting force is found to decrease with an increase in spindle speed, while as chip load decreases the cutting force will also decrease. Therefore, increasing spindle speed while decreasing chip load will significantly decrease the cutting force during metal cutting.…”
Section: Introductionsupporting
confidence: 67%
“…On the other side, feed rate is decreased with respect to decreasing the chip load. Further, as reported in [7][8][9], cutting force is found to decrease with an increase in spindle speed, while as chip load decreases the cutting force will also decrease. Therefore, increasing spindle speed while decreasing chip load will significantly decrease the cutting force during metal cutting.…”
Section: Introductionsupporting
confidence: 67%
“…On this basis, Adam et al [184] extracted the cutting force coefficient of aluminum alloy al6061-t6511 by average force and optimization technology methods. Tsai et al [185] studied the effects of feed rate per tooth and tool diameter on cutting force and cutting coefficient. On this basis, the cutting parameters, including friction angle and shear stress, are estimated using oblique cutting theory.…”
Section: Identification Methods Based On Measured Milling Forcementioning
confidence: 99%
“…As previously mentioned, cutting force knowledge can help understand the process's details and enable its optimization and understanding, being of great use on machining cases of hard-to-machine materials. Regarding the prediction of cutting forces in the milling process, in the study developed by Tsai et al [36], two methods of predicting the cutting force for the milling of Al 6060-T6 alloy are presented. These methods are as follows: Altintas and recursive least square (RLS).…”
Section: Cutting Force Prediction Methodsmentioning
confidence: 99%