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Year 2017, Volume: 1 Issue: 2, 52 - 60, 15.09.2017
https://doi.org/10.31127/tuje.316220

Abstract

References

  • Çiçek, A., T. Kıvak, I. Uygur, E. Ekici and Y. Turgut (2012). "Performance of cryogenically treated M35 HSS drills in drilling of austenitic stainless steels." The International Journal of Advanced Manufacturing Technology Vol. 60, No. 1 pp. 65-73.
  • Farid, A. A., S. Sharif and M. H. Idris (2011). "Chip morphology study in high speed drilling of Al–Si alloy." The International Journal of Advanced Manufacturing Technology Vol. 57, No. 5-8 pp. 555-564.
  • Isbilir, O. and E. Ghassemieh (2012). "Finite element analysis of drilling of carbon fibre reinforced composites." Applied Composite Materials Vol. 19, No. 3-4 pp. 637-656.
  • Ohzeki, H., H. Hoshi and A. Fumihito (2012). "Drilling of carbon fiber reinforced plastic composites with feedback control based on cutting force." Journal of Advanced Mechanical Design, Systems, and Manufacturing Vol. 6, No. 1 pp. 52-64.
  • Özkul, İ. (2012). Takım çeliği malzemelerin geleneksel ve modern işleme yöntemleri ile işlenebilirliklerinin araştırılması Master thesis, Gazi University, Ankara, Turkey.
  • Salimi, A., S. Abbasgholizadeh, S. Taghizadeh and A. Safarian (2011). "Using of artifical neural Networks to predict drill wear in machining process." Australian Journal of Basic and Applied Sciences Vol. 5, No. 12 pp. 2752-2760.
  • Tash, M. M., F. Samuel and S. Alkahtani (2012). "Machinability of Heat-Treated 356 and 319 Aluminum Alloys: Methodology for Data Processing and Calculation of Drilling Force and Moment." Advanced Materials Research Vol. 396, No. pp. 1008-1022.
  • http://www.uddeholm.com/files/PB_Uddeholm_sleipner_english.pdf. [Accessed 26 May 2017].
  • Zitoune, R., V. Krishnaraj, B. S. Almabouacif, F. Collombet, M. Sima and A. Jolin (2012). "Influence of machining parameters and new nano-coated tool on drilling performance of CFRP/Aluminium sandwich." Composites Part B: Engineering Vol. 43, No. 3 pp. 1480-1488.

REGRESSION MODELING OF THE HOLE QUALITIES DURING COLD WORK TOOL STEELS DRILLING, WITH DIFFERENT CHARACTERISTICS DRILL BITS

Year 2017, Volume: 1 Issue: 2, 52 - 60, 15.09.2017
https://doi.org/10.31127/tuje.316220

Abstract

In this study, drill operations have been tested on Sleipner cold work tool steel by various machining parameters and drill bits. Solid Carbide Uncoated drill bits and TiAlN Coated reamed drill bits were used in experiments. Both drill bits were machined on Sleipner steel with four different cutting speeds. After machining, thrust forces and moments values generated during cutting, consisting surface and the hole qualities have been measured. Drilled by reamed drill bit’s hole gave better results quality as a result of the studies. It was reached as conclusion that the optimum values parameters of the cutting speeds are between 40 to 42 m/min for both the drill bits.

References

  • Çiçek, A., T. Kıvak, I. Uygur, E. Ekici and Y. Turgut (2012). "Performance of cryogenically treated M35 HSS drills in drilling of austenitic stainless steels." The International Journal of Advanced Manufacturing Technology Vol. 60, No. 1 pp. 65-73.
  • Farid, A. A., S. Sharif and M. H. Idris (2011). "Chip morphology study in high speed drilling of Al–Si alloy." The International Journal of Advanced Manufacturing Technology Vol. 57, No. 5-8 pp. 555-564.
  • Isbilir, O. and E. Ghassemieh (2012). "Finite element analysis of drilling of carbon fibre reinforced composites." Applied Composite Materials Vol. 19, No. 3-4 pp. 637-656.
  • Ohzeki, H., H. Hoshi and A. Fumihito (2012). "Drilling of carbon fiber reinforced plastic composites with feedback control based on cutting force." Journal of Advanced Mechanical Design, Systems, and Manufacturing Vol. 6, No. 1 pp. 52-64.
  • Özkul, İ. (2012). Takım çeliği malzemelerin geleneksel ve modern işleme yöntemleri ile işlenebilirliklerinin araştırılması Master thesis, Gazi University, Ankara, Turkey.
  • Salimi, A., S. Abbasgholizadeh, S. Taghizadeh and A. Safarian (2011). "Using of artifical neural Networks to predict drill wear in machining process." Australian Journal of Basic and Applied Sciences Vol. 5, No. 12 pp. 2752-2760.
  • Tash, M. M., F. Samuel and S. Alkahtani (2012). "Machinability of Heat-Treated 356 and 319 Aluminum Alloys: Methodology for Data Processing and Calculation of Drilling Force and Moment." Advanced Materials Research Vol. 396, No. pp. 1008-1022.
  • http://www.uddeholm.com/files/PB_Uddeholm_sleipner_english.pdf. [Accessed 26 May 2017].
  • Zitoune, R., V. Krishnaraj, B. S. Almabouacif, F. Collombet, M. Sima and A. Jolin (2012). "Influence of machining parameters and new nano-coated tool on drilling performance of CFRP/Aluminium sandwich." Composites Part B: Engineering Vol. 43, No. 3 pp. 1480-1488.
There are 9 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

İskender Özkul

Berat Barış Buldum

Adnan Akkurt

Publication Date September 15, 2017
Published in Issue Year 2017 Volume: 1 Issue: 2

Cite

APA Özkul, İ., Buldum, B. B., & Akkurt, A. (2017). REGRESSION MODELING OF THE HOLE QUALITIES DURING COLD WORK TOOL STEELS DRILLING, WITH DIFFERENT CHARACTERISTICS DRILL BITS. Turkish Journal of Engineering, 1(2), 52-60. https://doi.org/10.31127/tuje.316220
AMA Özkul İ, Buldum BB, Akkurt A. REGRESSION MODELING OF THE HOLE QUALITIES DURING COLD WORK TOOL STEELS DRILLING, WITH DIFFERENT CHARACTERISTICS DRILL BITS. TUJE. September 2017;1(2):52-60. doi:10.31127/tuje.316220
Chicago Özkul, İskender, Berat Barış Buldum, and Adnan Akkurt. “REGRESSION MODELING OF THE HOLE QUALITIES DURING COLD WORK TOOL STEELS DRILLING, WITH DIFFERENT CHARACTERISTICS DRILL BITS”. Turkish Journal of Engineering 1, no. 2 (September 2017): 52-60. https://doi.org/10.31127/tuje.316220.
EndNote Özkul İ, Buldum BB, Akkurt A (September 1, 2017) REGRESSION MODELING OF THE HOLE QUALITIES DURING COLD WORK TOOL STEELS DRILLING, WITH DIFFERENT CHARACTERISTICS DRILL BITS. Turkish Journal of Engineering 1 2 52–60.
IEEE İ. Özkul, B. B. Buldum, and A. Akkurt, “REGRESSION MODELING OF THE HOLE QUALITIES DURING COLD WORK TOOL STEELS DRILLING, WITH DIFFERENT CHARACTERISTICS DRILL BITS”, TUJE, vol. 1, no. 2, pp. 52–60, 2017, doi: 10.31127/tuje.316220.
ISNAD Özkul, İskender et al. “REGRESSION MODELING OF THE HOLE QUALITIES DURING COLD WORK TOOL STEELS DRILLING, WITH DIFFERENT CHARACTERISTICS DRILL BITS”. Turkish Journal of Engineering 1/2 (September 2017), 52-60. https://doi.org/10.31127/tuje.316220.
JAMA Özkul İ, Buldum BB, Akkurt A. REGRESSION MODELING OF THE HOLE QUALITIES DURING COLD WORK TOOL STEELS DRILLING, WITH DIFFERENT CHARACTERISTICS DRILL BITS. TUJE. 2017;1:52–60.
MLA Özkul, İskender et al. “REGRESSION MODELING OF THE HOLE QUALITIES DURING COLD WORK TOOL STEELS DRILLING, WITH DIFFERENT CHARACTERISTICS DRILL BITS”. Turkish Journal of Engineering, vol. 1, no. 2, 2017, pp. 52-60, doi:10.31127/tuje.316220.
Vancouver Özkul İ, Buldum BB, Akkurt A. REGRESSION MODELING OF THE HOLE QUALITIES DURING COLD WORK TOOL STEELS DRILLING, WITH DIFFERENT CHARACTERISTICS DRILL BITS. TUJE. 2017;1(2):52-60.
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