Finish turning of toolox 33 to improve machining parameters with different nose radius tools

Kübra Kaya; Tayfun Çetin; Rüstem Binali; Hakan Gündoğmuş

doi:10.26701/ems.1724270

Finish turning of toolox 33 to improve machining parameters with different nose radius tools

Abstract

Turning, the most widely used machining process in manufacturing, continues to maintain its popularity today. Given its ongoing relevance, evaluating machinability in turning operations remains critical. In this study, dry turning was applied to Toolox 33, a material commonly used due to its favorable machinability characteristics. In the experimental research, changes in surface roughness and cutting force (two of the most critical output parameters) were evaluated in the context of machinability by applying different values of machining parameters, including tool nose radius, cutting speed, feed, and cutting depth. The investigation was undertaken with consideration of integrating machine learning methods into the manufacturing process. The results of the study indicated that optimal cutting force values can be achieved by employing a larger tool nose radius, higher cutting speeds, and lower feed rates and depths of cut. Similarly, optimal surface roughness was obtained under conditions involving a larger nose radius tool, lower feed, and shallower cutting depth. However, variations in the cutting speed parameter led to differing results in surface roughness. For instance, while an increase in cutting speed led to lower surface roughness values in some experimental sets, an increase in surface roughness was observed in others. Graphical evaluations confirmed the suitability of machine learning techniques for this application. The optimum cutting force was recorded under experimental conditions involving a 0.8 mm nose radius tool, a feed rate of 0.2 mm/rev, a depth of cut of 0.2 mm, and a cutting speed of 60 m/min. The best surface roughness results were obtained in the same experiment that yielded the optimum cutting force values. Compared to the optimum result obtained with a 0.8 mm nose radius tool, reducing the nose radius to 0.4 mm increased the cutting force by 29.87%, increasing the feed rate to 0.4 mm/rev led to a 100% rise, and increasing the depth of cut to 0.4 mm resulted in a 62.33% increase. In contrast, increasing the cutting speed from 40 m/min to 60 m/min reduced the cutting force by 44.20%. Following the physical experiments, it was observed that increasing the cutting speed from 40 to 60 m/min reduced surface roughness (Ra) by approximately 5% to 22%, while increasing the cutting depth from 0.2 mm to 0.4 mm and the feed rate from 0.2 mm/rev to 0.4 mm/rev led to increases of 65.28% and 147.93% in Ra, respectively. Additionally, compared to the 0.4 mm nose radius tool, the use of a 0.8 mm nose radius tool, which yielded the optimum surface quality, resulted in a 34.80% improvement in surface roughness.

Keywords

Supporting Institution

This research was supported by Hakkari University, Scientific Research Project Coordination Unit

Project Number

Grant no. FM24BAP8

Thanks

This research was supported by Hakkari University, Scientific Research Project Coordination Unit (BAP; Grant no. FM24BAP8).

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Details

Primary Language

English

Subjects

Optimization Techniques in Mechanical Engineering , Machining

Journal Section

Research Article

Authors

Kübra Kaya
0000-0002-9971-8826
Türkiye

Tayfun Çetin ^*
0009-0003-3089-0489
Türkiye

Rüstem Binali
0000-0003-0775-3817
Türkiye

Hakan Gündoğmuş
0000-0003-4118-0207
Türkiye

Publication Date

September 20, 2025

Submission Date

June 21, 2025

Acceptance Date

July 27, 2025

Published in Issue

Year 2025 Volume: 9 Number: 3

DOI

https://doi.org/10.26701/ems.1724270

IZ

https://izlik.org/JA97FN97LP

Cite

RIS / Bibtex

APA

Kaya, K., Çetin, T., Binali, R., & Gündoğmuş, H. (2025). Finish turning of toolox 33 to improve machining parameters with different nose radius tools. European Mechanical Science, 9(3), 234-245. https://doi.org/10.26701/ems.1724270

Cited By

The influences of tool geometry on machinability of hot tool work steel during application of various turning parameters

European Journal of Technic

https://doi.org/10.36222/ejt.1795649

Statistical analysis and optimization of milling parameters for better surface roughness with minimum cutting time in machining of Al7075 materials

Doğu Fen Bilimleri Dergisi

https://doi.org/10.57244/dfbd.1794481

Finish turning of toolox 33 to improve machining parameters with different nose radius tools

Finish turning of toolox 33 to improve machining parameters with different nose radius tools

Abstract

Keywords

Supporting Institution

Project Number

Thanks

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite

Cited By

The influences of tool geometry on machinability of hot tool work steel during application of various turning parameters

Statistical analysis and optimization of milling parameters for better surface roughness with minimum cutting time in machining of Al7075 materials

The Effects of Coating Materials on Machinability Characteristics of AA7075-T6 Alloys under Different Turning Conditions

A Review: Literature Summary on the Relationship Between Cutting Parameters and Machinability in Turning Operations

Study on the turning vibration behavior of a low-modulus titanium alloy