Optimization and Finite Element Modelling of Tool Wear in Milling of Inconel 625 Superalloy

Mahir AKGÜN; Halil DEMİR

doi:https://doi.org/10.2339/politeknik.706605

Makale detayları

Optimization and Finite Element Modelling of Tool Wear in Milling of Inconel 625 Superalloy

Yazarlar:

Mahir AKGÜN | Halil DEMİR

Yayıncı:

Gazi University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Journal of Polytechnic 2021 Vol.24 Issue 2, pp.391-400

Belge Tipi:

Makale

Yayın Tarihi:

5/2021

Belge Dili:

İngilizce

Document ID (Org No.):

2000589069

Sıklık:

Aylık

eISSN:

2147-9429

DOI:

https://doi.org/10.2339/politeknik.706605

Özet:

 

This study focuses on optimization of cutting conditions and numerical analysis of flank wear in milling of Inconel 625 superalloy using PVD AlTiN and CVD TiCN/Al2O3/TiN-coated carbide inserts. The milling experiments have been performed in CNC vertical machining centre according to Taguchi L18 orthogonal array. Finite element modelling of tool wear was performed using Deform 3D software. Analysis of variance was utilized to define the influences of the milling conditions on Vb. The results showed that the feed rate (with 41.5% contribution rate) is the most important parameter affecting Vb. The linear and quadratic regression analyses were used to estimate the results of the test. The regression analysis results showed that the estimated Vb values achieved by the quadratic regression model were more effective compared to the linear regression model. Statistical results revealed that the Taguchi method was successful to define optimum cutting parameters in the milling of Inconel 625.

 

This study focuses on optimization of cutting conditions and numerical analysis of flank wear in milling of Inconel 625 superalloy using PVD AlTiN and CVD TiCN/Al2O3/TiN-coated carbide inserts. The milling experiments have been performed in CNC vertical machining centre according to Taguchi L18 orthogonal array. Finite element modelling of tool wear was performed using Deform 3D software. Analysis of variance was utilized to define the influences of the milling conditions on Vb. The results showed that the feed rate (with 41.5% contribution rate) is the most important parameter affecting Vb. The linear and quadratic regression analyses were used to estimate the results of the test. The regression analysis results showed that the estimated Vb values achieved by the quadratic regression model were more effective compared to the linear regression model. Statistical results revealed that the Taguchi method was successful to define optimum cutting parameters in the milling of Inconel 625.

Makale detayları

Optimization and Finite Element Modelling of Tool Wear in Milling of Inconel 625 Superalloy

Yazarlar: Mahir AKGÜN | Halil DEMİR

Yayıncı: Gazi University

Ana Başlıklar: Uygulamalı fizik

Dergi: Journal of Polytechnic 2021 Vol.24 Issue 2, pp.391-400

Belge Tipi: Makale

Yayın Tarihi: 5/2021

Belge Dili: İngilizce

Document ID (Org No.): 2000589069

Sıklık: Aylık

eISSN: 2147-9429

DOI: https://doi.org/10.2339/politeknik.706605

Sayı

Yazarlar:

Mahir AKGÜN | Halil DEMİR

Yayıncı:

Gazi University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Journal of Polytechnic 2021 Vol.24 Issue 2, pp.391-400

Belge Tipi:

Makale

Yayın Tarihi:

5/2021

Belge Dili:

İngilizce

Document ID (Org No.):

2000589069

Sıklık:

Aylık

eISSN:

2147-9429

DOI:

https://doi.org/10.2339/politeknik.706605