Publication Type:

Journal Article


Periodica Polytechnica Mechanical Engineering, Budapest University of Technology and Economics, Volume 62, Number 3, p.196-202 (2018)



Aluminum alloys, Central composite designs, Charge coupled devices, Constitutive behaviors, Desirability function, Effective plastic strain, Finishing, Forecasting, Machining centers, Orthogonal turning, PEEQ, Quadratic polynomial, Regression analysis, Response surface methodology, Turning


In this paper, the influence of machining parameters, Cutting Speed, Feed Rate, and Depth of cut, on surface finish during dry orthogonal turning of Al 6061 - T6 alloy, is studied using the response surface methodology (RSM). This paper proposes a unique way to predict the surface finish in turning, using the effective plastic strain (PEEQ) values obtained from the simulations. A comprehensive finite element model was proposed to predict the surface finish accurately, by correlating the variance of the PEEQ. The Johnson-Cook damage model is used to define the damage criteria and Johnson-Cook material model is used to explain the material constitutive behavior. A dynamic, explicit method is used along with the Adaptive Lagrangian-Eulerian (ALE) method to predict material flow accurately. The influence of machining parameters was studied by assuming Central Composite Design (CCD). The output response, PEEQ, was fitted into analytical quadratic polynomial models using regression analysis, which shows that feed rate was the most dominant factor for PEEQ than the other parameters considered in this study. Using the individual desirability function method, the objective, optimal setting of the machining parameters was obtained for better surface finish. © 2018 Budapest University of Technology and Economics. All rights reserved.


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Cite this Research Publication

Sumesh C.S. and Dr. Ajith Ramesh, “Numerical Modelling and Optimization of dry Orthogonal Turning of Al6061 T6 alloy”, Periodica Polytechnica Mechanical Engineering, vol. 62, pp. 196-202, 2018.