Analytical modeling and prediction of cutting forces in orthogonal turning: a review

Author(s):  
Wang Sujuan ◽  
Zhang Tao ◽  
Deng Wenping ◽  
Sun Zhanwen ◽  
Sandy To
2021 ◽  
Vol 113 (1-2) ◽  
pp. 247-260
Author(s):  
Hang Zhang ◽  
Haohao Zeng ◽  
Rong Yan ◽  
Wei Wang ◽  
Fangyu Peng

Materials ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4328
Author(s):  
Łukasz Ślusarczyk

The paper presents an experimental-analytical method for determination of temperature in the cutting zone during the orthogonal turning of GRADE 2 titanium alloy. A cutting insert with a complex rake geometry was used in the experiments. The experimental part of the method involved orthogonal turning tests during which the cutting forces and the chip forming process were recorded for two different insert rake faces. The analytical part used a relationship between the cutting forces and the temperature in the Primary Shear Zone (PSZ) and the Secondary Shear Zone (SSZ), which are described by the Johnson-Cook (J-C) constitutive model and the chip forming model according to the Oxley’s theory. The temperature in the PSZ and SSZ was determined by finding the minimum difference between the shear flow stress determined in the J-C model and the Oxley’s model. Finally, using the described method, the relationship between the temperature in the PSZ and SSZ and the rake face geometry was determined. In addition, the temperature in the cutting zone was measured during the experimental tests with the use of a thermovision camera. The temperature distribution results determined experimentally with a thermovision camera were compared with the results obtained with the described method.


2019 ◽  
Vol 23 (1) ◽  
Author(s):  
Marco Antonio Prieto Juárez ◽  
Eduardo Aguilera Gómez ◽  
Héctor Plascencia Mora ◽  
Elías Ledesma Orozco ◽  
Juan Francisco Reveles Arredondo ◽  
...  

2009 ◽  
Vol 407-408 ◽  
pp. 465-468 ◽  
Author(s):  
Lin Feng

A Lagrange finite element model is presented that simulates cutting forces and temperature distributions when orthogonal turning aluminum alloy. The effect of the large strain, strain-rate and temperature associated with cutting on the material properties is taken into account. The model predicts chip geometry, stress, strain and temperature distribution in the workpiece, chip, and tool. Cutting experiments were performed to validate the model.


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