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Dergiler / Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering / 2017 / Cilt: 18 - Sayı: 3

MULTI OBJECTIVE OPTIMIZATION OF TURNING OPERATION USING HYBRID DECISION MAKING ANALYSIS

Mehmet Alper SOFUOĞLU
R. Aykut ARAPOĞLU
Sezan ORAK
Sayfa
595–610
Yayın Tarihi
2017-09-30
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

This study will enable the operators and engineers to work more efficiently in the machining operations.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In this article, surface roughness, cutting forces and material removal rates of different materials are examined in different cutting conditions in turning operations.
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Temel Bulgular & Veri:Surface roughness, material removal rate and cutting forces are measured during experiments.
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Sonuç & Katkı:This study will enable the operators and engineers to work more efficiently in the machining operations.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Best-worst method · cutting force · MCDM

Abstract

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.

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Bu Makaleye Atıf Yap

SOFUOĞLU, M. A., ARAPOĞLU, R. A., ORAK, S. (2017). MULTI OBJECTIVE OPTIMIZATION OF TURNING OPERATION USING HYBRID DECISION MAKING ANALYSIS. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering, Cilt: 18 - Sayı: 3, 595–610. https://ajindex.com/articles/196848

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Kaynakça (5)

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  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.