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Estimation of Geometrical Parameters of Drill Point by Combining Genetic Algorithm and Gradient Method

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Soft Computing in Engineering Design and Manufacturing

Abstract

The flank surfaces or the point of the twist drill are reground to sharpen the cutting edges by using a drill pointer. In order to maintain the cutting performance of the drill, the inspection of the geometry is very important. This paper deals with a new evaluation method of conically ground drill point geometry. In this proposed method, five geometrical parameters for the evaluation are derived from the kinematic relationship between the drill point and the grinding wheel when regrinding. The parameters are determined by mathematical model matching with measured coordinates of many points on the flank surface. The results show that the combined method of Steepest Gradient Method and Genetic Algorithm is suitable for this matching from the viewpoints of calculation speed and accuracy.

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References

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© 1998 Springer-Verlag London

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Hazra, L., Kato, H., Kuroda, T. (1998). Estimation of Geometrical Parameters of Drill Point by Combining Genetic Algorithm and Gradient Method. In: Chawdhry, P.K., Roy, R., Pant, R.K. (eds) Soft Computing in Engineering Design and Manufacturing. Springer, London. https://doi.org/10.1007/978-1-4471-0427-8_39

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  • DOI: https://doi.org/10.1007/978-1-4471-0427-8_39

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-76214-0

  • Online ISBN: 978-1-4471-0427-8

  • eBook Packages: Springer Book Archive

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