STATISTICAL MODELING AND OPTIMIZATION OF SURFACE ROUGHNESS IN WIRE EDM OF NONCIRCULAR GEARS MADE OF SKD11 STEEL

  • Nguyen Hong Phong Hung Yen University of Technology and Education
  • Van- The Tran Hung Yen University of Technology and Education
  • Thuan – Hoang Minh Hung Yen University of Technology and Education
  • Vu Duc Phuc Hung Yen University of Technology and Education
Keywords: Wire electrical discharge machining (WEDM); Surface roughness; Taguchi design; Analysis of variance (ANOVA); Response Surface Methodology (RSM); SKD11 noncircular gears

Abstract

This study presents the statistical modeling and optimization of surface roughness in wire EDM of SKD11 noncircular gears. A Taguchi L9 design was employed to evaluate the effects of discharge current (I), feed rate (F), and wire winding speed (V). ANOVA results indicated that discharge current had the greatest influence (58.68%), followed by feed rate (31.95%) and wire winding speed (9.37%). A quadratic model developed using Response Surface Methodology (RSM) showed excellent accuracy (R² > 0.99). Surface roughness increased monotonically with higher parameter levels due to thermal effects. The optimized parameter combination significantly reduced surface roughness, confirming the effectiveness of the proposed statistical approach for precision gear manufacturing by WEDM.

Published
2025-12-23
How to Cite
Nguyen Hong Phong, Van- The Tran, Thuan – Hoang Minh, & Vu Duc Phuc. (2025). STATISTICAL MODELING AND OPTIMIZATION OF SURFACE ROUGHNESS IN WIRE EDM OF NONCIRCULAR GEARS MADE OF SKD11 STEEL. Journal of Applied Science and Technology, 48, 5-11. Retrieved from https://jst.utehy.edu.vn/index.php/jst/article/view/825
Issue
Vol. 48 (2025): Journal of Applied Science and Technology
Section
Articles