Modeling and prediction of machining quality in CNC turning process using intelligent hybrid decision making tools

The roundness is one of the most important criteria to accept the mechanical parts in the CNC turning process. The relations of the roundness, the cutting conditions and the cutting forces in CNC turning is hence studied in this research. The dynamometer is installed on the turret of the CNC turning machine to measure the in-process cutting force signals. The cutting parameters are investigated to analyze the effects of them on the roundness which are the cutting speed, the feed rate, the depth of cut, the tool nose radius and the rake angle. The experimentally obtained results showed that the better roundness is obtained with an increase in cutting speed, tool nose radius and rake angle. The relation between the cutting parameters and the roundness can be explained by the in-process cutting forces. It is understood that the roundness can be monitored by using the in-process cutting forces.

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Parametric optimization of CNC turning process for hybrid metal matrix composite

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-016-8780-4 ◽

2016 ◽

Vol 93 (1-4) ◽

pp. 215-224 ◽

Cited By ~ 9

Author(s):

M. Nataraj ◽

K. Balasubramanian

Keyword(s):

Metal Matrix Composite ◽

Matrix Composite ◽

Metal Matrix ◽

Parametric Optimization ◽

Turning Process ◽

Cnc Turning ◽

Hybrid Metal Matrix Composite ◽

Cnc Turning Process

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Advanced Prediction of Surface Roughness by Monitoring of Dynamic Cutting Forces in CNC Turning Process

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.239-240.661 ◽

2012 ◽

Vol 239-240 ◽

pp. 661-669 ◽

Cited By ~ 6

Author(s):

Somkiat Tangjitsitcharoen

Keyword(s):

Surface Roughness ◽

Cutting Force ◽

Depth Of Cut ◽

Turning Process ◽

Cnc Turning ◽

Roughness Model ◽

Developed Surface ◽

Dynamic Cutting Force ◽

Force Ratio ◽

Cnc Turning Process

The aim of this research is to investigate the relation between the surface roughness and the dynamic cutting force ratio during the in-process cutting in CNC turning process. The proposed surface roughness model is developed based on the experimentally obtained results by employing the exponential function with five factors of the cutting speed, the feed rate, the tool nose radius, the depth of cut, and the dynamic cutting force ratio. The dynamic cutting force ratio is proposed to predict the surface roughness during the cutting, which can be calculated and obtained by taking the ratio of the corresponding time records of the area of thedynamic feed force to that of the dynamic main force. The in-process relation between dynamic cutting force ratio and surface roughness can be proved by the frequency of the dynamic cutting force which corresponds to the surface roughnessfrequency. The multiple regression analysis is utilized to calculate the regression coefficients with the use of the least square method at 95% confident level. The proposed model has been verified by the new cutting tests. It is understood that the developed surface roughness model can be used to predict the in-process surface roughness with the high accuracy of 90.3% by utilizing the dynamic cutting force ratio.

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