Examining the Influence of Cutting Parameters on Tool Life for Tungsten and Molybdenum During CNC Lathe Turning of Mild Carbon Steel When Flank Wear is Present

This study investigates the effects of cutting parameters on the tool life of two grades of high-speed steel tools, Tungsten (T1) and Molybdenum (T2), during the turning of mild carbon steel on a CNC lathe. Experiments were conducted on mild steel rods (200 mm length, 30 mm diameter) at three feed rates (0.1, 0.2, and 0.3 mm/rev), with a constant depth of cut (0.4 mm) using an 18-spindle rotational speed CNC lathe. Power and linear regression models were employed in MATLAB to determine and validate R² values. Analysis of variance (ANOVA) was performed to identify the best-fit model for experimental tool lives. Furthermore, chip-tool interface temperatures were modeled and compared with established literature to ensure accuracy and reliability.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-28
DOI
https://doi.org/10.5281/zenodo.14935373
Primary Topic
Advanced machining processes and optimization
Type
article
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article

Examining the Influence of Cutting Parameters on Tool Life for Tungsten and Molybdenum During CNC Lathe Turning of Mild Carbon Steel When Flank Wear is Present

Zenodo (CERN European Organization for Nuclear Research)
Advanced machining processes and optimization
article

Examining the Influence of Cutting Parameters on Tool Life for Tungsten and Molybdenum During CNC Lathe Turning of Mild Carbon Steel When Flank Wear is Present

article en

Abstract

This study investigates the effects of cutting parameters on the tool life of two grades of high-speed steel tools, Tungsten (T1) and Molybdenum (T2), during the turning of mild carbon steel on a CNC lathe. Experiments were conducted on mild steel rods (200 mm length, 30 mm diameter) at three feed rates (0.1, 0.2, and 0.3 mm/rev), with a constant depth of cut (0.4 mm) using an 18-spindle rotational speed CNC lathe. Power and linear regression models were employed in MATLAB to determine and validate R² values. Analysis of variance (ANOVA) was performed to identify the best-fit model for experimental tool lives. Furthermore, chip-tool interface temperatures were modeled and compared with established literature to ensure accuracy and reliability.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 57%
Advanced machining processes and optimization
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