Peripheral milling force induced error compensation using analytical force model and APDL deformation calculation

2016 ◽  
Vol 88 (9-12) ◽  
pp. 3405-3417 ◽  
Author(s):  
Zhengchun Du ◽  
Di Zhang ◽  
Hongfu Hou ◽  
Steven Y. Liang
Keyword(s):  
Error Compensation ◽  
Force Model ◽  
Peripheral Milling ◽  
Milling Force ◽  
Analytical Force Model

Research on Error Compensation of Corner Milling Process Based on Milling Force Prediction

2014 ◽  
Vol 800-801 ◽  
pp. 761-765
Author(s):  
Hui Nan Shi ◽  
Fu Gang Yan ◽  
Yun Peng Ding ◽  
Xian Li Liu ◽  
Rui Zhang
Keyword(s):  
Error Compensation ◽  
Chip Thickness ◽  
Milling Process ◽  
Force Model ◽  
Deformation Model ◽  
Milling Force ◽  
Element Analysis ◽  
The Finite Element Analysis ◽  
Flexible Deformation ◽  
Milling Force Model

In cavity die corner-machining, tool flexible deformation caused by the milling force resulting in the surface error, a method of off-line error compensation is put forward. Instantaneous chip thickness model and the corner milling force model is established based on differential and the characteristics of the corner. Combining the theory of cantilever beam and the finite element analysis, cutting tool elastic deformation model is established.

Milling force model for asymmetric end-mills during high-feed milling on AISI-P20

2021 ◽  
pp. 1-8
Author(s):  
Diego Russo ◽  
Gorka Urbicain ◽  
Antonio J. Sánchez Egea ◽  
Alejandro Simoncelli ◽  
Daniel Martinez Krahmer
Keyword(s):  
Force Model ◽  
Milling Force ◽  
Aisi P20 ◽  
High Feed ◽  
End Mills ◽  
Milling Force Model

Milling Force Prediction for Circular Contour Machining

2014 ◽  
Vol 800-801 ◽  
pp. 243-248
Author(s):  
Kai Zhao ◽  
Zhan Qiang Liu
Keyword(s):  
Prediction Model ◽  
Milling Process ◽  
Machining Process ◽  
Curvature Radius ◽  
Force Model ◽  
Milling Force ◽  
Circular Contour ◽  
The Mean ◽  
Contour Machining ◽  
Matlab Programming

When machining the complex parts of aircraft engines, the milling force for the circular contour must be accurately predicted to reduce machining vibration. In this paper, the prediction model of the mean milling force per tooth during machining circular contour is developed. Firstly, the formulas of the entry angle, the exit angle and the equivalent feed per tooth are established through the analysis of circular contour milling process. Then, the equation of the mean milling force per tooth is deduced based on mechanistic force model during the circular contour machining process. Finally, the prediction model of mean milling force per tooth during machining circular contour is developed using MATLAB programming. The relationship between the milling force per tooth and surface curvature radius of the machined workpiece is also analyzed in this paper.

scholarly journals Prediction of Nonlinear Micro-Milling Force with a Novel Minimum Uncut Chip Thickness Model

Micromachines ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1495
Author(s):  
Tongshun Liu ◽  
Kedong Zhang ◽  
Gang Wang ◽  
Chengdong Wang
Keyword(s):  
Cutting Force ◽  
Chip Thickness ◽  
Micro Milling ◽  
Force Model ◽  
Force Coefficient ◽  
Uncut Chip Thickness ◽  
Milling Force ◽  
Minimum Uncut Chip Thickness ◽  
Cutting Force Coefficient ◽  
Milling Force Model

The minimum uncut chip thickness (MUCT), dividing the cutting zone into the shear region and the ploughing region, has a strong nonlinear effect on the cutting force of micro-milling. Determining the MUCT value is fundamental in order to predict the micro-milling force. In this study, based on the assumption that the normal shear force and the normal ploughing force are equivalent at the MUCT point, a novel analytical MUCT model considering the comprehensive effect of shear stress, friction angle, ploughing coefficient and cutting-edge radius is constructed to determine the MUCT. Nonlinear piecewise cutting force coefficient functions with the novel MUCT as the break point are constructed to represent the distribution of the shear/ploughing force under the effect of the minimum uncut chip thickness. By integrating the cutting force coefficient function, the nonlinear micro-milling force is predicted. Theoretical analysis shows that the nonlinear cutting force coefficient function embedded with the novel MUCT is absolutely integrable, making the micro-milling force model more stable and accurate than the conventional models. Moreover, by considering different factors in the MUCT model, the proposed micro-milling force model is more flexible than the traditional models. Micro-milling experiments under different cutting conditions have verified the efficiency and improvement of the proposed micro-milling force model.

Multi-Toothed Milling Force Model and Simulation for Form Milling the Gear of the Hypoid Gears

2011 ◽  
Vol 328-330 ◽  
pp. 90-95 ◽  
Author(s):  
Xin Jie Jia ◽  
Xiao Zhong Deng ◽  
Xiao Zhong Ren
Keyword(s):  
Face Milling ◽  
Force Model ◽  
Geometrical Theory ◽  
Hypoid Gear ◽  
Milling Force ◽  
Hypoid Gears ◽  
Model And Simulation ◽  
Simulation Results ◽  
Milling Forces ◽  
Milling Force Model

Prediction of the forces in milling hypoid gear was often needed in order to establish automation and optimization of the tooth-milling processes. Based on the geometrical theory of the format face-milling, the multi-toothed milling forces theoretical model for form milling the gear of the hypoid gears is presented, the milling force factors were calibrated via single factor experiments and the simulation programs were prepared. Experiments were carried out to verify the availability of the multi-toothed dynamic milling force model, the experimental results is consistent with the simulation results.

Off-line error compensation in corner milling process

2016 ◽  
Vol 232 (7) ◽  
pp. 1172-1181 ◽  
Author(s):  
Caixu Yue ◽  
Xianli Liu ◽  
Yunpeng Ding ◽  
Steven Y Liang
Keyword(s):  
Cutting Force ◽  
Error Compensation ◽  
Tool Path ◽  
Chip Thickness ◽  
Milling Process ◽  
Process Conditions ◽  
Force Model ◽  
Tool Deflection ◽  
Profile Error ◽  
Compensation Algorithm

Tool deflection induced by cutting force could result in dimensional inaccuracies or profile error in corner milling process. Error compensation has been proved to be an effective method to get accuracy component in milling process. This article presents a methodology to compensate profile errors by modifying tool path. The compensation effect strongly depends on accuracy of the cutting force model used. The mathematical expression of chip thickness is proposed based on the true track of cutting edge for corner milling process, which considers the effect of tool deflection. The deflection of tool is calculated by finite element method. Then, an off-line compensation algorithm for corner profile error is developed. Following the theoretical analysis, the effect of the error compensation algorithm is verified by experimental study. The outcome provides useful comprehension about selection of process conditions for corner milling process.

Mechanistic Modeling of Process Damping in Peripheral Milling

2005 ◽  
Author(s):  
C. Y. Huang ◽  
J.-J. Junz Wang
Keyword(s):  
Cutting Speed ◽  
Vibration Signal ◽  
Mechanistic Modeling ◽  
Force Model ◽  
Total Force ◽  
Peripheral Milling ◽  
Process Damping ◽  
Damping Effect ◽  
Damping Effects ◽  
Cutting Mechanisms

This paper extends analytical modeling of the milling process to include process damping effects. Two cutting mechanisms (shearing and plowing mechanisms) and two process damping effects (directional and magnitude effects) are included. The directional effect is related to vibration energy dissipation due to directional variation of cutter/workpiece relative motion. The magnitude effect is associated with change in force magnitude due to variation of rake angle and clearance angle. Process damping is summarized as containing these separate components; direction-shearing, direction-plowing, magnitude-shearing and magnitude-plowing. The total force model including the process damping effect is obtained through convolution integration of the local forces. The analytical nature of this model makes it possible to determine unknown process damping coefficients from measured vibration signal during milling. The effects of cutting conditions (cutting speed, feed, axial and radial depths of cut) on process damping are systematically examined. It is shown that total process damping increases with increasing feed, axial and radial depths of cut, but decreases with increasing cutting velocity. Predictions based on the analytical model are verified by experiment. Results show that plowing mechanism contributes more to the total damping effect than the shearing mechanism, and magnitude-plowing effect has by far the greatest influence on total damping.

Sign in / Sign up

Export Citation Format

Share Document