Redirecting to http://dergipark.org.tr/_fragment?_hash=YfAQboPtUeToUhfBmYD2oQ4_bsYZ0h6KuZuHLqXQ408&_path=id%3D1368279%26_format%3Dhtml%26_locale%3Den%26_controller%3DApp%255CController%255CSite%255CArticleController%253A%253AesiArticleStats.
Conference Paper
BibTex RIS Cite

Single Objective Optimization of Cutting Parameters for Surface Roughness in Turning of Inconel 718 Using Taguchi Approach

Year 2023, Volume: 23, 338 - 348, 30.09.2023

Fatlume Zhujanı Georgi Todorov Konstantin Kamberov

https://doi.org/10.55549/epstem.1368279

Abstract

The majority of work in cutting machining processes is focused on choosing the parameters that will result in the greatest rate of material removal and the least amount of surface roughness, cutting temperatures, cutting pressures, vibrations, etc., which are the main quality responses. Surface roughness is one of the most precise quality criteria that affects how machined parts work. By choosing the appropriate cutting settings, it should be possible to get a greater surface finish and a longer service life for the machined parts. The link between changes in surface roughness caused by turning operations with respect to different machining settings is investigated in this study using the Taguchi method L9(33). The orthogonal array, signal-to-noise ratio, and analysis of variance are utilized to examine the performance characteristics when turning Inconel 718 bars with CCMT09T308N-SU coated cemented carbide insert tools. The optimal setting of cutting parameters to lessen surface roughness is chosen using the Taguchi method. Speed, feed rate, and cut depth are the three cutting parameters. Experimental results are given to illustrate the effectiveness of this strategy.

Keywords

Taguchi Turning Inconel 718 S/N ratio

References

  • Abhang L.B., & Hamedullah, M. (2010). Chip-tool ınterface temperature prediction model for turning process. International Journal of Engineering Science and Technology, 2(4), 382-393.
  • Agari, S. R. (2022). Wear and surface characteristics on tool performance with CVD coating of Al2O3/TiCN inserts during machining of Inconel 718 alloys. Archive of Mechanical Engineering, 69(1), 59-75.
  • Basmacı, G., Kayacan, M. Y., Ay, M., & Etyemez, A. (2023). Optimization of cutting forces and surface

Year 2023, Volume: 23, 338 - 348, 30.09.2023

Fatlume Zhujanı Georgi Todorov Konstantin Kamberov

https://doi.org/10.55549/epstem.1368279

Abstract

References

  • Abhang L.B., & Hamedullah, M. (2010). Chip-tool ınterface temperature prediction model for turning process. International Journal of Engineering Science and Technology, 2(4), 382-393.
  • Agari, S. R. (2022). Wear and surface characteristics on tool performance with CVD coating of Al2O3/TiCN inserts during machining of Inconel 718 alloys. Archive of Mechanical Engineering, 69(1), 59-75.
  • Basmacı, G., Kayacan, M. Y., Ay, M., & Etyemez, A. (2023). Optimization of cutting forces and surface
There are 3 citations in total.

Details

Primary Language English
Subjects Environmental and Sustainable Processes
Journal Section Articles
Authors

Fatlume Zhujanı

Georgi Todorov

Konstantin Kamberov

Early Pub Date September 29, 2023
Publication Date September 30, 2023
Published in Issue Year 2023 Volume: 23

Cite

APA Zhujanı, F., Todorov, G., & Kamberov, K. (2023). Single Objective Optimization of Cutting Parameters for Surface Roughness in Turning of Inconel 718 Using Taguchi Approach. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 23, 338-348. https://doi.org/10.55549/epstem.1368279
Creative Commons License