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Dergiler / International Advanced Researches and Engineering Journal / 2021 / Cilt: 5 - Sayı: 3

Prediction of cutting temperature in carbide cutting tool using finite element method

Dikson David Olodu
Mercy Ozakpolor
Cyril Aliyegbenoma
Sayfa
398–404
Yayın Tarihi
2022-10-19
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

In conclusion, the research clearly shows that ANSYS® is a very efficient expert tool for modeling and predicting the cutting temperature of carbide insert cutting tool in dry turning operation using mild steel.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:This study demonstrated the effectiveness of the finite element method in predicting the cutting temperature in carbide inserted cutting tool.
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Temel Bulgular & Veri:A three-factor Box-Behnken design, making seventeen cutting tests of a cylindrical mild steel bar with 200 mm length by von mises diameter was employed to study the numerical and the experimental predictions.
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Sonuç & Katkı:In conclusion, the research clearly shows that ANSYS® is a very efficient expert tool for modeling and predicting the cutting temperature of carbide insert cutting tool in dry turning operation using mild steel.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Natural stone · Point load index · Rock characterization

Abstract

This study demonstrated the effectiveness of the finite element method in predicting the cutting temperature in carbide inserted cutting tool. A three-factor Box-Behnken design, making seventeen cutting tests of a cylindrical mild steel bar with 200 mm length by von mises diameter was employed to study the numerical and the experimental predictions. The data obtained from the tool tests was compared and statistically analyzed using the reliability plots. On comparison, both the experimental and finite element method (FEM) analysis by ANSYS® readings were in close agreements, with the minimum and maximum error of 0.010% and 0.895%, respectively. In conclusion, the research clearly shows that ANSYS® is a very efficient expert tool for modeling and predicting the cutting temperature of carbide insert cutting tool in dry turning operation using mild steel.

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Bu Makaleye Atıf Yap

Olodu, D. D., Ozakpolor, M., Aliyegbenoma, C. (2022). Prediction of cutting temperature in carbide cutting tool using finite element method. International Advanced Researches and Engineering Journal, Cilt: 5 - Sayı: 3, 398–404. https://ajindex.com/articles/539298

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Kaynakça (14)

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