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Taguchi Yöntemleri Kullanılarak Frezeleme İşleminde Kesme Parametrelerinin Yüzey Pürüzlülüğüne Etkisinin Araştırılması

Yıl 2021, Cilt: 62 Sayı: 703, 321 - 331, 15.06.2021
https://doi.org/10.46399/muhendismakina.827914

Öz

Bu çalışmada, kalıp çeliğinin işlenmesi esnasında kesme parametrelerinin yüzey pürüzlülüğü üzerindeki etkisinin araştırılması yoluyla frezeleme operasyonunun optimizasyonu amaçlanmıştır. Deneysel çalışmaların sonuçları, kritik parametrelerin bulunmasında etkili olan sinyal-gürültü oranı hesaplaması ve varyans analizi gibi farklı Taguchi yöntemleri kullanılarak değerlendirilmiştir. İlerleme hızı, iş mili devri, kesme derinliği ve radyal dalma oranı gibi dört kesme parametresinin yüzey pürüzlülüğü üzerindeki etkileri araştırılmıştır.

Teşekkür

Yazar Azma Mould Manufacturing Industry şirketine deney ve ölçümlerde yaptıkları desteklerinden ötürü teşekkürlerini sunar.

Kaynakça

  • 1. Montgomery D, Altintas Y, 1991, "Mechanism of Cutting Force and Surface Generation in Dynamic Milling", Journal of Engineering for Industry, 113(2), pp. 160–168.
  • 2. Ehmann KF, Hong MS, 1994, "A Generalized Model of the Surface Generation Process in Metal Cutting", CIRP Annals – Manufacturing Technology, 43, pp. 483–486.
  • 3. Layegh K SE, Lazoglu I, 2017, "3D surface topography analysis in 5-axis ball-end milling", CIRP Annals – Manufacturing Technology, 66, pp. 133–136.
  • 4. Altintas Y, Budak E, 1995, "Analytical Prediction of Stability Lobes in Milling", CIRP Annals – Manufacturing Technology, 44, pp. 357–362.
  • 5. Munoa J, Beudaert X, Dombovari Z, Altintas Y, Budak E, Brecher C, Stepan G, 2016, "Chatter suppression techniques in metal cutting", CIRP Annals – Manufacturing Technology, 65, pp. 785–808.
  • 6. Zahoor S, Mufti NA, Saleem MQ, Mughal MP, Qureshi MAM, 2017, "Effect of machine tool’s spindle forced vibrations on surface roughness, dimensional accuracy, and tool wear in vertical milling of AISI P20", International Journal of Advanced Manufacturing Technology, 89, pp. 3671–3679.
  • 7. Bagci E, Aykut S, 2005, "A study of Taguchi optimization method for identifying optimum surface roughness in CNC face milling of cobalt-based alloy (stellite 6)", International Journal of Advanced Manufacturing Technology, 29, pp. 940–947.
  • 8. Kuram E, Ozcelik B, 2016, "Micro-milling performance of AISI 304 stainless steel using Taguchi method and fuzzy logic modelling", Journal of Intellegent Manufacturing, 27, pp. 817–830.
  • 9. Costa D, Belinato G, Brito T, Paiva A, Ferreira J, Balestrassi P, 2017, "Weighted principal component analysis combined with Taguchi’s signal‑to‑noise ratio to the multiobjective optimization of dry end milling process: a comparative study", The Journal of the Brazilian Society of Mechanical Sciences and Engineering, 39, pp. 1663–1681.
  • 10. Manav C, Bank HS, Lazoglu I, 2013, "Intelligent toolpath selection via multi-criteria optimization in complex sculptured surface milling", Journal of Intellegent Manufacturing, 24(2), pp. 349–355.
  • 11. Arruda EM, Paiva AP, Brandão LC, Ferreira JR, 2019, "Robust optimisation of surface roughness of AISI H13 hardened steel in the finishing milling using ball nose end mills", Precision Engineering, 60, pp. 194–214.
  • 12. Mia M, Al Bashir M, Awal Khan MD, Dhar NR, 2017, "Optimization of MQL flow rate for minimum cutting force and surface roughness in end milling of hardened steel (HRC 40)", International Journal of Advanced Manufacturing Technology, 89, pp. 675–690.
  • 13. Amer, Y., Moayyedian, M., Hajiabolhasani, Z. and Moayyedian, L., 2013, "Improving injection moulding processes using experimental design", (Doctoral dissertation, WASET-World Academy of Science Engineering a).
  • 14. Moayyedian M, Mamedov A,Derakhshandeh JF, Elkattan A, 2020, "Determination of Significant Parameters and Their Contributions In Temperature Measurement using Analysis of Variance and Taguchi Method", International Journal of Engineering Research and Technology, 9(10), pp.790-796

Investigation of the Effect of Cutting Parameters on Surface Roughness During Milling Operation Using Taguchi Methods

Yıl 2021, Cilt: 62 Sayı: 703, 321 - 331, 15.06.2021
https://doi.org/10.46399/muhendismakina.827914

Öz

This work is devoted to the optimization of milling operation by determination of the effect of cutting parameters on surface roughness throughout the machining of the mold steel. The experimental studies results are presented by applying different Taguchi methods, such as signal to noise ratio calculation and analysis of variance, which are considered effective in finding the critical parameters and their contributions. The effects of four cutting parameters on surface roughness are evaluated, including feedrate, spindle speed, depth of cut and radial tool immersion.

Kaynakça

  • 1. Montgomery D, Altintas Y, 1991, "Mechanism of Cutting Force and Surface Generation in Dynamic Milling", Journal of Engineering for Industry, 113(2), pp. 160–168.
  • 2. Ehmann KF, Hong MS, 1994, "A Generalized Model of the Surface Generation Process in Metal Cutting", CIRP Annals – Manufacturing Technology, 43, pp. 483–486.
  • 3. Layegh K SE, Lazoglu I, 2017, "3D surface topography analysis in 5-axis ball-end milling", CIRP Annals – Manufacturing Technology, 66, pp. 133–136.
  • 4. Altintas Y, Budak E, 1995, "Analytical Prediction of Stability Lobes in Milling", CIRP Annals – Manufacturing Technology, 44, pp. 357–362.
  • 5. Munoa J, Beudaert X, Dombovari Z, Altintas Y, Budak E, Brecher C, Stepan G, 2016, "Chatter suppression techniques in metal cutting", CIRP Annals – Manufacturing Technology, 65, pp. 785–808.
  • 6. Zahoor S, Mufti NA, Saleem MQ, Mughal MP, Qureshi MAM, 2017, "Effect of machine tool’s spindle forced vibrations on surface roughness, dimensional accuracy, and tool wear in vertical milling of AISI P20", International Journal of Advanced Manufacturing Technology, 89, pp. 3671–3679.
  • 7. Bagci E, Aykut S, 2005, "A study of Taguchi optimization method for identifying optimum surface roughness in CNC face milling of cobalt-based alloy (stellite 6)", International Journal of Advanced Manufacturing Technology, 29, pp. 940–947.
  • 8. Kuram E, Ozcelik B, 2016, "Micro-milling performance of AISI 304 stainless steel using Taguchi method and fuzzy logic modelling", Journal of Intellegent Manufacturing, 27, pp. 817–830.
  • 9. Costa D, Belinato G, Brito T, Paiva A, Ferreira J, Balestrassi P, 2017, "Weighted principal component analysis combined with Taguchi’s signal‑to‑noise ratio to the multiobjective optimization of dry end milling process: a comparative study", The Journal of the Brazilian Society of Mechanical Sciences and Engineering, 39, pp. 1663–1681.
  • 10. Manav C, Bank HS, Lazoglu I, 2013, "Intelligent toolpath selection via multi-criteria optimization in complex sculptured surface milling", Journal of Intellegent Manufacturing, 24(2), pp. 349–355.
  • 11. Arruda EM, Paiva AP, Brandão LC, Ferreira JR, 2019, "Robust optimisation of surface roughness of AISI H13 hardened steel in the finishing milling using ball nose end mills", Precision Engineering, 60, pp. 194–214.
  • 12. Mia M, Al Bashir M, Awal Khan MD, Dhar NR, 2017, "Optimization of MQL flow rate for minimum cutting force and surface roughness in end milling of hardened steel (HRC 40)", International Journal of Advanced Manufacturing Technology, 89, pp. 675–690.
  • 13. Amer, Y., Moayyedian, M., Hajiabolhasani, Z. and Moayyedian, L., 2013, "Improving injection moulding processes using experimental design", (Doctoral dissertation, WASET-World Academy of Science Engineering a).
  • 14. Moayyedian M, Mamedov A,Derakhshandeh JF, Elkattan A, 2020, "Determination of Significant Parameters and Their Contributions In Temperature Measurement using Analysis of Variance and Taguchi Method", International Journal of Engineering Research and Technology, 9(10), pp.790-796
Toplam 14 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Mühendislik
Bölüm icindekiler-sunuş
Yazarlar

Ali Mamedov 0000-0003-0560-552X

Yayımlanma Tarihi 15 Haziran 2021
Gönderilme Tarihi 18 Kasım 2020
Kabul Tarihi 7 Şubat 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 62 Sayı: 703

Kaynak Göster

APA Mamedov, A. (2021). Taguchi Yöntemleri Kullanılarak Frezeleme İşleminde Kesme Parametrelerinin Yüzey Pürüzlülüğüne Etkisinin Araştırılması. Mühendis Ve Makina, 62(703), 321-331. https://doi.org/10.46399/muhendismakina.827914

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ISSN : 1300-3402

E-ISSN : 2667-7520