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Prediction of residual stresses generated by machining Ti6Al4V alloy based on the combination of the ALE approach and indentation model

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Abstract

To study the surface residual stresses generated by machining Ti6Al4V alloy, we conducted some finite element simulations of the orthogonal cutting process using different cutting parameters. The simulation was based on the Arbitrary Lagrangian–Eulerian finite element approach. It shows that the tool geometry and the cutting parameters can affect the machining-induced surface residual stresses significantly in orthogonal cutting. To study the influences of the tool corner radius and tool feed per revolution on the surface residual stresses induced by a three-dimensional cutting process (which are always neglected in orthogonal cutting models), a plane strain condition-based indentation model was used to evaluate the corresponding effects. Based on the combination of the orthogonal cutting model and the orthogonal indentation model, the surface residual stresses generated in the three-dimensional cutting process could be modeled with much higher efficiency than with three-dimensional modeling. We conducted some corresponding experiments to validate the predicted results obtained from the model proposed in this paper and found that the results obtained from the two different methods were in satisfactory quantitative agreement.

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Acknowledgements

Part of this work was supported by the Natural Science Foundation of Jiangsu Province (BK20190676), the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (19KJB460019), the National Natural Science Foundation of China (51635003), the Natural Science Foundation of Anhui Province (1808085ME117), the Special Fund of Jiangsu Province for Transformation of Scientific and Technological Achievements (BA2017099).

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Correspondence to Hao Zhang.

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Technical Editor: Lincoln Cardoso Brandao.

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Meng, L., Atli, M., Khan, A.M. et al. Prediction of residual stresses generated by machining Ti6Al4V alloy based on the combination of the ALE approach and indentation model. J Braz. Soc. Mech. Sci. Eng. 41, 471 (2019). https://doi.org/10.1007/s40430-019-1914-5

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  • DOI: https://doi.org/10.1007/s40430-019-1914-5

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