论文信息 - Feed Optimization of Cycloidal Bevel Gear Format Cutting Based on Equal Cutting Area

Feed Optimization of Cycloidal Bevel Gear Format Cutting Based on Equal Cutting Area

When machining the cycloidal bevel gear on the CNC machine tool, the cutting force is gradually increased with the increase of the cutting depth when the feed speed of the cutter head is constant. The fluctuation of the cutting force is easy to cause the spindle vibration, reduce the surface quality. The off-line control is mainly used to optimize the NC code, and the cutting feed in the NC code is segmented according to the corresponding optimization algorithm and the constraint condition. When the spindle speed is 90 rpm, constant feed 40 mm/min, the cutting force of the volatility of 127.45%. When the feed rate is reduced from 50 mm/min to 26mm/min, the fluctuation rate of the cutting force is 46%. The variable feed control can effectively reduce the amplitude fluctuation of the cutting force.

[1] Li Qian,et al. Comparing and combining off-line feedrate rescheduling strategies in free-form surface machining with feedrate acceleration and deceleration , 2008 .

[2] A. Moufki,et al. Characterization of the cutting forces generated during the gear hobbing process: Spur gear , 2015 .

[3] Ying Zhang,et al. Kinematic analysis and feedrate optimization in six-axis NC abrasive belt grinding of blades , 2015 .

[4] Sepehr Zarif Mansour,et al. Feedrate Optimization for Computer Numerically Controlled Machine Tools Using Modeled and Measured Process Constraints , 2017 .

[5] Vilmos Simon,et al. Optimal machine tool settings for face-hobbed hypoid gears manufactured on CNC hypoid generator , 2017 .

[6] Zhang-Hua Fong,et al. Study on the cutting time of the hypoid gear tooth flank , 2015 .

[7] Christian Brecher,et al. Approach for the Calculation of Cutting Forces in Generating Gear Grinding , 2015 .

[8] J.-E. Ståhl,et al. Experimental studies of cutting force variation in face milling , 2008 .

[9] Liang Gao,et al. A new approach for predicting and collaborative evaluating the cutting force in face milling based on gene expression programming , 2013, J. Netw. Comput. Appl..