VOLUMETRIC ERROR COMPENSATION IN FIVE-AXIS CNC MACHINING CENTER THROUGH KINEMATICS MODELING OF GEOMETRIC ERROR

Energy consumption in machining processes has become a problem for today's manufacturing industry. The use of neural networks and optimization algorithms for modeling and prediction of consumption as a function of the cut-off parameters in processes of this type has aroused the interest of research groups. The present work used artificial neural networks (ANN) to predict the energy consumption of a Leadwell V-40iT® five-axis CNC machining center, based on experimental data obtained through a factorial experimental design 53. ANN was programed in Matlab®. From the study was concluded that the depth per pass (Ap) is the variable that has the most influence on the prediction model of energy consumption with a 77% of relative importance, while the feed rate is the least relevant with 9% of importance.

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Design of a New Five-Axis Linkage CNC Machining Center

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.313-314.1135 ◽

2013 ◽

Vol 313-314 ◽

pp. 1135-1138

Author(s):

Xing Guo Liu ◽

Chi Gang Deng ◽

Yu Hang Liu ◽

Qing Ying Zhao

Keyword(s):

Control System ◽

High Precision ◽

Space Curve ◽

Cnc Machining ◽

Numerical Control ◽

Numerical Control System ◽

Processing Equipment ◽

Machining Center ◽

Five Axis ◽

Cnc Machining Center

Five-axis linkage CNC Machining CenterXH756 has five axis -- X, Y, Z, A, B, can achieve five axis linkage processing function, is the most ideal equipment of processing space curve CAM, cylindrical CAM and die. Its numerical control system is M520 of Mitsubishi of Japan. XH756 is most advanced CNC processing equipment with high precision in China now.

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The Neural-fuzzy Thermal Error Compensation Controller on CNC Machining Center.

JSME International Journal Series C ◽

10.1299/jsmec.45.470 ◽

2002 ◽

Vol 45 (2) ◽

pp. 470-478 ◽

Cited By ~ 6

Author(s):

Pai-Chung TSENG ◽

Shen-Len CHEN

Keyword(s):

Error Compensation ◽

Thermal Error ◽

Cnc Machining ◽

Machining Center ◽

Thermal Error Compensation ◽

Cnc Machining Center ◽

Neural Fuzzy

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Numerical and experimental modeling of thermal errors in a five-axis CNC machining center

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-018-1595-8 ◽

2018 ◽

Vol 96 (5-8) ◽

pp. 2619-2642 ◽

Cited By ~ 1

Author(s):

Marcelo O. dos Santos ◽

Gilmar F. Batalha ◽

Ed C. Bordinassi ◽

Gelson F. Miori

Keyword(s):

Cnc Machining ◽

Experimental Modeling ◽

Thermal Errors ◽

Machining Center ◽

Five Axis ◽

Cnc Machining Center

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Thermal Error Modeling and Compensation of a CNC Machining Center

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.490-495.1516 ◽

2012 ◽

Vol 490-495 ◽

pp. 1516-1520

Author(s):

Jian Han ◽

Li Ping Wang ◽

Lian Qing Yu ◽

Hai Tong Wang

Keyword(s):

Clustering Analysis ◽

Error Compensation ◽

Thermal Error ◽

Error Modeling ◽

Cnc Machining ◽

Thermally Induced ◽

Thermal Errors ◽

Machining Center ◽

Novel Approach ◽

Cnc Machining Center

Error modeling and compensation is the most effective way to reduce thermal errors. In this paper, a novel approach to predict the thermal error of machine tool based on M-RAN is presented, clustering analysis is used to select the temperature variables, and then an easy and economical measurement system is applied to measure the temperature variables and thermal shift of CNC machining center. The thermally induced errors are estimated in real-time using the trained M-RAN network. The proposed approach is verified through error compensation test.

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