Araştırma Makalesi

REDUCING SOUND INTENSITY BY OPTIMIZING CUTTING PARAMETERS ON CNC MILLING MACHINES

Cilt: 6 Sayı: 1 30 Nisan 2022
PDF İndir
EN

REDUCING SOUND INTENSITY BY OPTIMIZING CUTTING PARAMETERS ON CNC MILLING MACHINES

Öz

In the cutting process with machine tools in the Machinery Manufacturing Industry; while the desired surface integrity is ensured by the optimization of the cutting parameters, the noise level must be kept at a minimum to protect the health of the workers. The noise level can be reduced by using this optimization without compromising the surface roughness through processing of EN AW 6013 material on a CNC milling machine. Experimental design was examined in three variables, three levels and two target functions. The effects of these parameters on the target function were studied by performing experimental plans determined by "Central Composite Design (CCT)" of Response Surface Method (RSM)". To assess the sound intensity and surface roughness, mathematical models were developed by performing regression analysis on the experimental results. These developed models have been tested with control experiments and it has been seen that the models have acceptable error rates. The obtained regression equation is highly modeled with a validity of 93.29% for sound intensity and 97.33% for surface roughness. Therefore, cutting parameters were found to be related to sound intensity and surface roughness values.

Anahtar Kelimeler

Kaynakça

  1. 1. Suraratchai, M., Limido, J., Mabru, C., Chieragatti, R., "Modelling the influence of machined surface roughness on the fatigue life of aluminium alloy", International Journal of Fatigue., Vol. 30, Pages 2119–2126, 2008.
  2. 2. Hilbert, L. R., Bagge-Ravn, D., Kold, J., Gram, L., ''Influence of surface roughness of stainless steel on microbial adhesion and corrosion resistance'', International Biodeterioration & Biodegradation.,Vol. 52, Pages 175–185, 2003.
  3. 3. Hesselbach, J., Hoffmeister, H. W., Schuller, B. C., Loeis, K., ''Development of an active clamping system for noise and vibration reduction'', CIRP Annals - Manufacturing Technology., Vol.59, Pages 395–398, 2010.
  4. 4. Sahoo, A. K., Sahoo, B., ''Performance studies of multilayer hard surface coatings (TiN/TiCN/Al2O3/TiN) of indexable carbide inserts in hard machining: Part-II (RSM, grey relational and techno economical approach)'', Measurement., Vol. 46, Pages 2868–2884, 2013.
  5. 5. Lela, B., Bajić, D., Jozić, S., ''Regression analysis, support vector machines, and Bayesian neural network approaches to modeling surface roughness in face milling'', International Journal of Advanced Manufacturing Technology., Vol.42, Pages 1082–1088, 2009.
  6. 6. Chavoshi, S. Z., Tajdari, M., ''Surface roughness modelling in hard turning operation of AISI 4140 using CBN cutting tool'', International Journal of Material Forming., Vol.3, Pages 233–239, 2010.
  7. 7. Singh, D., Rao, P. V., ''A surface roughness prediction model for hard turning process'', International Journal of Advanced Manufacturing Technology., Vol.32, Pages 1115–1124, 2007.
  8. 8. Yan, J., Li, L., ''Multi-objective optimization of milling parameters – the trade-offs between energy, production rate and cutting quality'', Journal of Cleaner Production., Vol.52, Pages 462–471, 2013.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Makine Mühendisliği

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Nisan 2022

Gönderilme Tarihi

24 Aralık 2021

Kabul Tarihi

30 Mart 2022

Yayımlandığı Sayı

Yıl 2022 Cilt: 6 Sayı: 1

Kaynak Göster

APA
Albayrak, S., Mercan, S., & Karaçam, H. (2022). REDUCING SOUND INTENSITY BY OPTIMIZING CUTTING PARAMETERS ON CNC MILLING MACHINES. International Journal of 3D Printing Technologies and Digital Industry, 6(1), 62-73. https://doi.org/10.46519/ij3dptdi.1041325
AMA
1.Albayrak S, Mercan S, Karaçam H. REDUCING SOUND INTENSITY BY OPTIMIZING CUTTING PARAMETERS ON CNC MILLING MACHINES. IJ3DPTDI. 2022;6(1):62-73. doi:10.46519/ij3dptdi.1041325
Chicago
Albayrak, Sirer, Serdar Mercan, ve Hikmet Karaçam. 2022. “REDUCING SOUND INTENSITY BY OPTIMIZING CUTTING PARAMETERS ON CNC MILLING MACHINES”. International Journal of 3D Printing Technologies and Digital Industry 6 (1): 62-73. https://doi.org/10.46519/ij3dptdi.1041325.
EndNote
Albayrak S, Mercan S, Karaçam H (01 Nisan 2022) REDUCING SOUND INTENSITY BY OPTIMIZING CUTTING PARAMETERS ON CNC MILLING MACHINES. International Journal of 3D Printing Technologies and Digital Industry 6 1 62–73.
IEEE
[1]S. Albayrak, S. Mercan, ve H. Karaçam, “REDUCING SOUND INTENSITY BY OPTIMIZING CUTTING PARAMETERS ON CNC MILLING MACHINES”, IJ3DPTDI, c. 6, sy 1, ss. 62–73, Nis. 2022, doi: 10.46519/ij3dptdi.1041325.
ISNAD
Albayrak, Sirer - Mercan, Serdar - Karaçam, Hikmet. “REDUCING SOUND INTENSITY BY OPTIMIZING CUTTING PARAMETERS ON CNC MILLING MACHINES”. International Journal of 3D Printing Technologies and Digital Industry 6/1 (01 Nisan 2022): 62-73. https://doi.org/10.46519/ij3dptdi.1041325.
JAMA
1.Albayrak S, Mercan S, Karaçam H. REDUCING SOUND INTENSITY BY OPTIMIZING CUTTING PARAMETERS ON CNC MILLING MACHINES. IJ3DPTDI. 2022;6:62–73.
MLA
Albayrak, Sirer, vd. “REDUCING SOUND INTENSITY BY OPTIMIZING CUTTING PARAMETERS ON CNC MILLING MACHINES”. International Journal of 3D Printing Technologies and Digital Industry, c. 6, sy 1, Nisan 2022, ss. 62-73, doi:10.46519/ij3dptdi.1041325.
Vancouver
1.Sirer Albayrak, Serdar Mercan, Hikmet Karaçam. REDUCING SOUND INTENSITY BY OPTIMIZING CUTTING PARAMETERS ON CNC MILLING MACHINES. IJ3DPTDI. 01 Nisan 2022;6(1):62-73. doi:10.46519/ij3dptdi.1041325

 download

Uluslararası 3B Yazıcı Teknolojileri ve Dijital Endüstri Dergisi Creative Commons Atıf-GayriTicari 4.0 Uluslararası Lisansı ile lisanslanmıştır.