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Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Selection of cutting conditions is of great importance for high productivity in metal cutting industry. Process twins which make use of physical models considering both mechanics and dynamics of metal cutting are useful tools in the context of Industry 4.0. In this paper, the use of science integrated machining approaches is demonstrated for selection of high performance cutting conditions. The results obtained from simulations of several industrial applications are utilized in selection of cutting parameters and the results are discussed through applications and experiments.

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References

  1. Altintas, Y.: Manufacturing Automation. Cambridge University Press, Cambridge (2012)

    Google Scholar 

  2. Lazoglu, I., Liang, S.Y.: Modelling of ball-end milling forces with cutter inclination. J. Manufact. Sci. Eng. 122, 3–11 (1996)

    Article  Google Scholar 

  3. Maeng, S.R., Baek, N., Shin, S.Y., Choi, B.K.: A Z-map update method for linear moving tools. Comput.-Aided Des. 35, 995–1009 (2003)

    Article  Google Scholar 

  4. Kim, G.M., Ko, S.L.: Improvement of cutting simulation using octree method. Int. J. Adv. Manuf. Technol. 28, 1152–1160 (2005)

    Article  Google Scholar 

  5. Ozturk, E., Budak, E.: Modeling of 5-axis milling processes. Mach. Sci. Technol. 11(3), 287–311 (2007)

    Google Scholar 

  6. Ferry, W.B., Altintas, Y.: Virtual five-axis flank milling of jet engine impellers – part I-II. J. Manuf. Sci. Eng. 130, 011005 (2008)

    Article  Google Scholar 

  7. Budak, E., Ozlu, E., Bakioglu, H., Barzegar, Z.: Thermo-mechanical modeling of the third deformation zone in machining for prediction of cutting forces. CIRP Ann.-Manuf. Technol. 65(1), 121–124 (2016)

    Article  Google Scholar 

  8. Oxley, P.L.B.: Mechanics of Machining: An Analytical Approach to Assessing Machinability. Ellis Horwood Limited, Chichester (1989)

    Google Scholar 

  9. Molinari, A., Dudzinski, D.: Stationary shear bands in high speed machining. C. R. Acad. Sci. 315, 399–405 (1992). Série Ii

    MATH  Google Scholar 

  10. Ozlu, E., Budak, E.: Development of a thermomechanical cutting process model for machining process simulations. Ann. CIRP 57, 97–100 (2008)

    Article  Google Scholar 

  11. Ozlu, E., Budak, E., Molinari, A.: Two-zone analytical contact model applied to orthogonal cutting. Mach. Sci. Technol. 14(3), 323–343 (2010)

    Article  Google Scholar 

  12. Cakir, E., Ozlu, E., Bakkal, M., Budak, E.: Investigation of temperature distribution in orthogonal cutting through dual-zone contact model on the rake face. Int. J. Adv. Manuf. Technol. (2018). https://doi.org/10.1007/S00170-017-1479-3

    Article  Google Scholar 

  13. Budak, E., Altintas, Y.: Analytical prediction of chatter stability in milling-part I: general formulation, part II: application to common milling systems. ASME J. Dyn. Sys. Meas. 120, 22–36 (1998)

    Article  Google Scholar 

  14. Ozturk, E., Budak, E.: Modeling dynamics and stability of 5-axis ball-end milling using single and multi frequency solutions. Trans. ASME J. Manuf. Sci. Technol. 132, 021003 (2010)

    Article  Google Scholar 

  15. Ozkirimli, O., Tunc, L.T., Budak, E.: Generalized model for dynamics and stability of multi-axis milling with complex tool geometries. J. Mater. Process. Technol. 238, 446–458 (2016)

    Article  Google Scholar 

  16. Ozlu, E., Budak, E.: Analytical modeling of chatter stability in turning and boring operations part I: model development. Trans. ASME J. Manuf. Sci. Technol. 129, 733–739 (2007)

    Article  Google Scholar 

  17. Budak, E., Tunc, L.T.: A new method for identification and modeling of process damping in machining. Trans. ASME, J. Manuf. Sci. Eng. 131(051019), 1–10 (2009)

    Google Scholar 

  18. Budak, E., Tunc, L.T.: Identification and modeling of process damping in turning and milling using a new approach. CIRP Ann.-Manuf. Technol. 59, 403–408 (2010)

    Article  Google Scholar 

  19. Budak, E., Tunc, L.T., Alan, S., Özgüven, H.N.: Prediction of workpiece dynamics and its effects on chatter stability. Milling CIRP Ann. - Manuf. Technol. 69, 339–342 (2012)

    Article  Google Scholar 

  20. Alan, S., Budak, E., Ozguven, H.N.: Analytical Prediction Of Part Dynamics For Machining Stability Analysis. Int. J. Automation Tech. (Spec. Issue Mod. Sim. Cut. Process) 4(3), 259–267 (2010)

    Google Scholar 

  21. Ozturk, E., Ozkirimli, O., Suren, G., Aksu, B., Budak, E.: Increasing productivity in die machining through process modeling. In: Proceedings of the 5th International Conference and Exhibition on Design and Production of Machines and Dies/Molds, Kusadasi, Aydin, Turkey, 18–21 June 2009 (2009)

    Google Scholar 

  22. Ozlu, E., Engin, S., Cook, C., El-Wardany, T., Budak, E.: Simulation of broaching operations for tool design optimization. In: 2nd International CIRP Conference on Process Machine Interactions (PMI 2010), Vancouver, Canada,10–11 June 2010 (2010)

    Google Scholar 

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Correspondence to Erhan Budak .

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Budak, E. (2018). Machining Process Improvement Through Process Twins. In: Ni, J., Majstorovic, V., Djurdjanovic, D. (eds) Proceedings of 3rd International Conference on the Industry 4.0 Model for Advanced Manufacturing. AMP 2018. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-89563-5_13

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  • DOI: https://doi.org/10.1007/978-3-319-89563-5_13

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  • Online ISBN: 978-3-319-89563-5

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