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Dergiler / Politeknik Dergisi / 2021 / Cilt: 24 - Sayı: 2

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

Mahir AKGÜN
Halil DEMİR
Sayfa
391–400
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Statistical results revealed that the Taguchi method was successful to define optimum cutting parameters in the milling of Inconel 625.

📌 3 Maddede Bu Makale

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Amaç & Hipotez: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.
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Temel Bulgular & Veri:The milling experiments have been performed in CNC vertical machining centre according to Taguchi L18 orthogonal array.
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Sonuç & Katkı:Statistical results revealed that the Taguchi method was successful to define optimum cutting parameters in the milling of Inconel 625.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Inconel 625 · milling · tool wear

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.

Abstract

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.

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Bu Makaleye Atıf Yap

AKGÜN, M., DEMİR, H. (2021). Optimization and Finite Element Modelling of Tool Wear in Milling of Inconel 625 Superalloy. Politeknik Dergisi, Cilt: 24 - Sayı: 2, 391–400. https://ajindex.com/articles/307010

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