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Article

Experimental Investigation and Modelling of High-Speed Turn-Milling of H13 Tool Steel: Surface Roughness and Tool Wear

1
Department of Mechanical Engineering, McGill University, Montreal, QC H3A 0C3, Canada
2
Aerospace Manufacturing Technologies Center (AMTC), National Research Council Canada, Montreal, QC H3T 1J4, Canada
*
Author to whom correspondence should be addressed.
Lubricants 2025, 13(10), 444; https://doi.org/10.3390/lubricants13100444
Submission received: 11 August 2025 / Revised: 19 September 2025 / Accepted: 8 October 2025 / Published: 10 October 2025
(This article belongs to the Special Issue Recent Advances in Materials Forming, Machining and Tribology)

Abstract

Turn-milling is a relatively new process which combines turning and milling operations, offering a number of advantages such as chip breaking and interrupted cutting, which improves tool life. In addition to providing the capability of producing eccentric forms or shapes, it increases productivity for difficult-to-machine material at lower cost. This study investigates the influence of cutting speed and feed on surface roughness and tool wear in conventional turning and turn-milling of H13 tool steel. The tests were conducted for longitudinal and face machining strategies. It was found that the range of surface roughness in turning is lower than in turn-milling. In longitudinal turning, face-turning, and face turn-milling operations, surface roughness is elevated in the higher feeds. However, the surface roughness in longitudinal turn-milling operations can be reduced by increasing the feed. Although the simultaneous rotation of the tool and workpiece in turn-milling could negatively affect the surface quality, this operation provides the advantage of an interrupted cutting mechanism that produces discontinuous chips. Also, the wear of the endmill in longitudinal and face turn-milling operations is lower than the wear of the inserts used in conventional longitudinal and face turning. Using Response Surface Methodology (RSM), mathematical models were developed for surface roughness and tool wear in each operation. The RSM models developed in this study achieved coefficients of determination (R2) above 90%, with prediction errors below 7% for surface roughness and below 3% for tool wear. The analysis of variance (ANOVA) revealed that the feed and cutting speed are the most influential parameters on the surface roughness and tool wear, respectively, with p-value < 0.05. The experimental results demonstrated that tool wear in turn-milling was reduced by up to 50% compared to conventional turning.
Keywords: turn-milling; H13 tool steel; surface roughness; tool wear; response surface methodology (RSM) turn-milling; H13 tool steel; surface roughness; tool wear; response surface methodology (RSM)

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MDPI and ACS Style

Ghorbani, H.; Shi, B.; Attia, H. Experimental Investigation and Modelling of High-Speed Turn-Milling of H13 Tool Steel: Surface Roughness and Tool Wear. Lubricants 2025, 13, 444. https://doi.org/10.3390/lubricants13100444

AMA Style

Ghorbani H, Shi B, Attia H. Experimental Investigation and Modelling of High-Speed Turn-Milling of H13 Tool Steel: Surface Roughness and Tool Wear. Lubricants. 2025; 13(10):444. https://doi.org/10.3390/lubricants13100444

Chicago/Turabian Style

Ghorbani, Hamid, Bin Shi, and Helmi Attia. 2025. "Experimental Investigation and Modelling of High-Speed Turn-Milling of H13 Tool Steel: Surface Roughness and Tool Wear" Lubricants 13, no. 10: 444. https://doi.org/10.3390/lubricants13100444

APA Style

Ghorbani, H., Shi, B., & Attia, H. (2025). Experimental Investigation and Modelling of High-Speed Turn-Milling of H13 Tool Steel: Surface Roughness and Tool Wear. Lubricants, 13(10), 444. https://doi.org/10.3390/lubricants13100444

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