Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2017, Cilt: 18 Sayı: 3, 595 - 610, 30.09.2017
https://doi.org/10.18038/aubtda.287801

Öz

Kaynakça

  • [1] Stout K.J., Engineering surfaces – A Philosophy of Manufacture (A Proposal For Good Manufacturing Practice), Proc. Instn.Mech.B, 1998; 212:169 – 174.
  • [2] Griffiths B.J., Manufacturing Surface Technology, In: Surface Integrity and Functional Performance, Penton Press, London, 2001.
  • [3] Puertas I. and Luis Perez C.J., Surface Roughness Prediction By Factorial Design of Experiments in Turning Processes, Journal of Materials Processing Technology, 2003;143 – 144: 390 – 396.
  • [4] Jha N.K., A discrete data base multiple objective optimization of milling operation through geometric programming. Journal of Engineering for Industry, 1990;112: 368-374.
  • [5] Wang Z.G., Rahman M., Wong and Sun J.,Optimization of multi-pass milling using parallel genetic algorithm and parallel genetic simulated annealing. International Journal of Machine Tools and Manufacture, 2005; 45(15):1726-1734.

MULTI OBJECTIVE OPTIMIZATION OF TURNING OPERATION USING HYBRID DECISION MAKING ANALYSIS

Yıl 2017, Cilt: 18 Sayı: 3, 595 - 610, 30.09.2017
https://doi.org/10.18038/aubtda.287801

Öz

In this article, surface
roughness, cutting forces and material removal rates of different materials are
examined in different cutting conditions in turning operations. First,
vibration characteristics (natural and chatter frequency, stiffness coefficient
and damping ratio) are determined by different cutting tests. Surface
roughness, material removal rate and cutting forces are measured during
experiments.  By using these experiments,
five different hybrid multi-criteria decision making models are proposed.
Cutting parameters are optimized by maximizing material removal rate and
minimizing surface roughness and cutting force. This study will enable the
operators and engineers to work more efficiently in the machining operations.   

Kaynakça

  • [1] Stout K.J., Engineering surfaces – A Philosophy of Manufacture (A Proposal For Good Manufacturing Practice), Proc. Instn.Mech.B, 1998; 212:169 – 174.
  • [2] Griffiths B.J., Manufacturing Surface Technology, In: Surface Integrity and Functional Performance, Penton Press, London, 2001.
  • [3] Puertas I. and Luis Perez C.J., Surface Roughness Prediction By Factorial Design of Experiments in Turning Processes, Journal of Materials Processing Technology, 2003;143 – 144: 390 – 396.
  • [4] Jha N.K., A discrete data base multiple objective optimization of milling operation through geometric programming. Journal of Engineering for Industry, 1990;112: 368-374.
  • [5] Wang Z.G., Rahman M., Wong and Sun J.,Optimization of multi-pass milling using parallel genetic algorithm and parallel genetic simulated annealing. International Journal of Machine Tools and Manufacture, 2005; 45(15):1726-1734.
Toplam 5 adet kaynakça vardır.

Ayrıntılar

Konular Mühendislik
Bölüm Araştırma Makalesi
Yazarlar

Mehmet Alper Sofuoğlu

R. Aykut Arapoğlu

Sezan Orak

Yayımlanma Tarihi 30 Eylül 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 18 Sayı: 3

Kaynak Göster

APA Sofuoğlu, M. A., Arapoğlu, R. A., & Orak, S. (2017). MULTI OBJECTIVE OPTIMIZATION OF TURNING OPERATION USING HYBRID DECISION MAKING ANALYSIS. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, 18(3), 595-610. https://doi.org/10.18038/aubtda.287801
AMA Sofuoğlu MA, Arapoğlu RA, Orak S. MULTI OBJECTIVE OPTIMIZATION OF TURNING OPERATION USING HYBRID DECISION MAKING ANALYSIS. AUBTD-A. Eylül 2017;18(3):595-610. doi:10.18038/aubtda.287801
Chicago Sofuoğlu, Mehmet Alper, R. Aykut Arapoğlu, ve Sezan Orak. “MULTI OBJECTIVE OPTIMIZATION OF TURNING OPERATION USING HYBRID DECISION MAKING ANALYSIS”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 18, sy. 3 (Eylül 2017): 595-610. https://doi.org/10.18038/aubtda.287801.
EndNote Sofuoğlu MA, Arapoğlu RA, Orak S (01 Eylül 2017) MULTI OBJECTIVE OPTIMIZATION OF TURNING OPERATION USING HYBRID DECISION MAKING ANALYSIS. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 18 3 595–610.
IEEE M. A. Sofuoğlu, R. A. Arapoğlu, ve S. Orak, “MULTI OBJECTIVE OPTIMIZATION OF TURNING OPERATION USING HYBRID DECISION MAKING ANALYSIS”, AUBTD-A, c. 18, sy. 3, ss. 595–610, 2017, doi: 10.18038/aubtda.287801.
ISNAD Sofuoğlu, Mehmet Alper vd. “MULTI OBJECTIVE OPTIMIZATION OF TURNING OPERATION USING HYBRID DECISION MAKING ANALYSIS”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 18/3 (Eylül 2017), 595-610. https://doi.org/10.18038/aubtda.287801.
JAMA Sofuoğlu MA, Arapoğlu RA, Orak S. MULTI OBJECTIVE OPTIMIZATION OF TURNING OPERATION USING HYBRID DECISION MAKING ANALYSIS. AUBTD-A. 2017;18:595–610.
MLA Sofuoğlu, Mehmet Alper vd. “MULTI OBJECTIVE OPTIMIZATION OF TURNING OPERATION USING HYBRID DECISION MAKING ANALYSIS”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, c. 18, sy. 3, 2017, ss. 595-10, doi:10.18038/aubtda.287801.
Vancouver Sofuoğlu MA, Arapoğlu RA, Orak S. MULTI OBJECTIVE OPTIMIZATION OF TURNING OPERATION USING HYBRID DECISION MAKING ANALYSIS. AUBTD-A. 2017;18(3):595-610.