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Modeling cutting machining process using symbolic regression \(\alpha \)-\(\beta \)

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Abstract

An analysis of a cutting machining process is made by manipulating equations generated by means of symbolic regression \(\alpha \)-\(\beta \). This regression approach can generate mathematical models of any process considering only measured data. Usually a mathematical model is preferred over other approaches like linear regression or neural networks. As a practical case, a cutting machining process of Titanium 6Al-4V is modeled considering the absence and existence of cooling. An analysis of the surface of response is made to visualize the effects of the machining parameters on roughness. These plots could be useful to establish the machining parameters when a desirable roughness is expected. On the other hand, the mathematical models can be useful for prediction, simulation and optimization.

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Correspondence to L. M. Torres-Treviño.

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Torres-Treviño, L.M., Escamilla, I., Gonzalez, B. et al. Modeling cutting machining process using symbolic regression \(\alpha \)-\(\beta \) . Int J Adv Manuf Technol 67, 2351–2366 (2013). https://doi.org/10.1007/s00170-012-4655-5

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Keywords

  • Modeling machining process
  • Symbolic regression
  • Evolutionary algorithms