Abstract
The selection of un-appropriate cutting factors in any type of metal cutting is led to higher surface
roughness and larger cost because they directly affect the quality characteristics and production rate. The cutting
of AISI 304 stainless steel is investigated both experimentally and theoretically at basic parameters while
outputs are surface roughnesses of Ra, Rz and Rt. Taguchi L9 design is adopted in analyzing the machining
results using carbide inserts. Variance analysis and regression analysis are carried out to determine effective
factors and relationship between the input and responses, respectively. It is shown that the optimum surface
roughness is obtained around 1.18 µm, and the optimum parameters are determined from experiment trial 7.
Further, the feed rate is dominant effect on the surface roughness while the speed and the depth of cut are not
effective. Moreover, the regression models are developed, the correlation coefficients of Ra, Rz and Rt are
found to be around 99.15%, 99.76% and 96.77%, respectively, that are quite reasonable, but slightly more errors
generated in Rt results. The present finding results exhibit that Taguchi method is an effective method for
improving surface quality of cutting stainless steels. The experimental design applied to improve surface quality
is also applicable to industrial practices.
References
- Sahin, Y., & Ogulmus, A. S. (2025). Application of Taguchi to cutting behavior of stainless steels. The Eurasia Proceedings of Science, Technology, Engineering and Mathematics (EPSTEM), 36, 81-92.
Details
| Primary Language | English |
|---|---|
| Subjects | Materials Science and Technologies |
| Journal Section | Research Article |
| Authors | |
| Submission Date | June 17, 2025 |
| Acceptance Date | July 23, 2025 |
| Early Pub Date | November 4, 2025 |
| Published in Issue | Year 2025 Volume: 36 |