Claim Missing Document
Check
Articles

Found 2 Documents
Search

Optimizing Spring-back and Spring-go in Vee-bending of SCGA340BHX Galvanized Steel: A Taguchi Approach Susilo, Hendri; Supriyanto, Danang; Nur Widyartha, Yogi; Khoirudin, Khoirudin; Sukarman, Sukarman; Hakim, Afif; Cepi Budiansyah, Ade; Suhara, Ade; Rahdiana, Nana; Hananto, Agus
Jurnal Teknik Mesin Mechanical Xplore Vol. 6 No. 1 (2025): Jurnal Teknik Mesin Mechanical Xplore (JTMMX)
Publisher : Mechanical Engineering Department Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/jtmmx.v6i1.10147

Abstract

Spring-back and spring-go are critical elastic recovery phenomena in sheet metal forming that affect the angular precision of bent components. This study investigates the influence of punch angle, die opening, and punch speed on these behaviors during the Vee-bending process of SCGA340BHX high-strength galvanized steel. A Taguchi design of experiments with an L8 orthogonal array was applied, and spring-back angles were measured and analyzed using the “smaller-is-better” signal-to-noise (S/N) ratio criterion. The results reveal that punch angle is the most influential parameter governing spring-back and spring-go tendencies, followed by die opening and punch speed. A punch angle of 50° and a die opening of 35 mm produced the highest average spring-back (3.03°), while spring-go behavior was observed primarily at higher punch speeds (35–40 mm/min). The study further confirmed the inverse relationship between bending force and spring-back, with lower forming forces correlating to greater elastic recovery. These findings provide a comprehensive understanding of the interdependence between geometric and kinematic factors in elastic recovery phenomena, offering quantitative insights for optimizing Vee-bending operations involving thin, high-strength steel.
A framework for surface profile optimization in sinker-edm via response surface methodology Rohman, Rohman; Sukarman, Sukarman; Ulhakim, Muhamad Taufik; Supriyanto, Danang
Jurnal Polimesin Vol 23, No 1 (2025): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i1.5741

Abstract

Sinker Electrical Discharge Machining (SEDM) is a powerful technique used for shaping hard materials and creating complex designs. SEDM effectively machines hardened steel, titanium, and tungsten carbide, materials challenging for conventional methods. This study aims to identify the optimal surface profile (Ra) as a response variable in the SEDM process. This study utilized hardened SKD11 as the workpiece and graphite as the electrode, employing Response Surface Methodology (RSM) for optimization. The investigation focused on the pulse current, spark-on time, and gap voltage as the input parameters. The findings revealed that Sample 7 achieved the smoothest surface (at Ra = 10 µm), while Sample 13 had the roughest (at Ra = 20 µm). The analysis of these results determined the ideal conditions for the pulse current at level 1, spark-on time at level 3, and gap voltage at level 3, resulting in a surface profile of 10.2 microns. The successful application of RSM optimization in SEDM significantly contributes to the precision machining of alloy steels, which plays a crucial role in material-processing operations.