Thermal Analysis of the End Milling Process of AISI 4340 Steel

This study focuses on the prediction and analysis of temperature distribution during end milling of AISI 4340 steel. The influence of cutting parameters—cutting speed, feed per tooth, and depth of cut—on temperature generation in the cutting zone was investigated using a CCD experimental plan. Temperature was measured with a thermal imaging camera, while the milling process was simulated using Third Wave AdvantEdge 7.1 FEM software. The obtained temperatures ranged from 74 °C to 200 °C, depending on the cutting conditions. A second-order regression model with three factors was developed and showed an average prediction error of 8.62%, while the alternative fitted model had an average error of 10.91%. FEM simulations using AdvantEdge 7.1 demonstrated a somewhat higher deviation, with an average error of 14.75% relative to experiments. The highest deviations for all approaches occurred at extreme cutting parameters (very low or very high depth of cut). The study demonstrates that FEM simulations are an effective tool for predicting thermal behavior in milling and optimizing cutting parameters. Accurate prediction of cutting zone temperatures can improve tool life, enhance process efficiency, and support the selection of optimal machining conditions, which is very important from an industry point of view.

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Publication Details

Journal
Journal of Manufacturing and Materials Processing
Published
2025-12-23
DOI
https://doi.org/10.3390/jmmp10010004
Primary Topic
Advanced machining processes and optimization
Type
article
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article

Thermal Analysis of the End Milling Process of AISI 4340 Steel

R. Drlička, Maja Radović, Martin Kotus, Jelena Jovanović et al.
Journal of Manufacturing and Materials Processing
Advanced machining processes and optimization
article

Thermal Analysis of the End Milling Process of AISI 4340 Steel

R. Drlička, Maja Radović, Martin Kotus, Jelena Jovanović, Andjelija Mitrovic
article en

Abstract

This study focuses on the prediction and analysis of temperature distribution during end milling of AISI 4340 steel. The influence of cutting parameters—cutting speed, feed per tooth, and depth of cut—on temperature generation in the cutting zone was investigated using a CCD experimental plan. Temperature was measured with a thermal imaging camera, while the milling process was simulated using Third Wave AdvantEdge 7.1 FEM software. The obtained temperatures ranged from 74 °C to 200 °C, depending on the cutting conditions. A second-order regression model with three factors was developed and showed an average prediction error of 8.62%, while the alternative fitted model had an average error of 10.91%. FEM simulations using AdvantEdge 7.1 demonstrated a somewhat higher deviation, with an average error of 14.75% relative to experiments. The highest deviations for all approaches occurred at extreme cutting parameters (very low or very high depth of cut). The study demonstrates that FEM simulations are an effective tool for predicting thermal behavior in milling and optimizing cutting parameters. Accurate prediction of cutting zone temperatures can improve tool life, enhance process efficiency, and support the selection of optimal machining conditions, which is very important from an industry point of view.

Journal of Manufacturing and Materials ProcessingVol. 10(1)
Slovak University of Agriculture in Nitra (SK), University of Kragujevac (RS)
Openalex Percentile: Top 45%
Advanced machining processes and optimization
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