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Journals / International Advanced Researches and Engineering Journal / 2021 / Volume: 5 Issue: 3

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

Mercy Ozakpolor(Department of Production Engineering, Faculty of Engineering, University of Benin, Benin City, Edo State, Nigeria)0000-0002-7625-0087
Cyril Aliyegbenoma(Department of Mechanical Engineering, Faculty of Engineering, Benson Idahosa University, Benin City, Edo State, Nigeria)0000-0003-0056-7763
Dıckson Davıd Olodu(a) Department of Production Engineering, Faculty of Engineering, University of Benin, Benin City, Edo State, Nigeria. b) Department of Mechanical Engineering, Faculty of Engineering, Benson Idahosa University, Benin City, Edo State, Nigeria)0000-0003-3383-2543
Pages
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Publication Date
2021-12-15
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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 Key Takeaways

🎯
Objective & Hypothesis:This study demonstrated the effectiveness of the finite element method in predicting the cutting temperature in carbide inserted cutting tool.
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Key Findings & Data: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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Conclusion & Impact: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.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables: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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Cite This Article

Ozakpolor, M., Aliyegbenoma, C., Olodu, D. D. (2021). Prediction of cutting temperature in carbide cutting tool using finite element method. International Advanced Researches and Engineering Journal, Volume: 5 Issue: 3. https://doi.org/10.35860/iarej.859488

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