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Journal : International Journal of Science, Engineering and Information Technology

Optimization of Welding Parameters and Cooling Media on the Mechanical Properties of SMAW Welding on CNP Channel Steel Material using Taguchi Method Mubarok, Khamdi; Izzudin, Mohammad Nur; Muzakki, Hakam; Anwar, Muhammad Nurul
International Journal of Science, Engineering, and Information Technology Vol 7, No 02 (2023): IJSEIT Volume 07 Issue 02 29 July 2023
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/ijseit.v7i02.21612

Abstract

CNP channel steel, commonly referred to as lightweight C-channel steel, is a steel bar characterized by its 'C' shaped cross-section, produced through the cooling process of steel plates or strips. This type of steel holds significant importance in construction, as the strength of its connections plays a critical role in its load-bearing capacity. In this research, a low carbon steel, specifically CNP channel steel with a 3 mm thickness, was selected as the base material. The welding parameters included varying welding currents (70 A, 80 A, and 90 A), welding speeds (2 mm/s, 3 mm/s, and 4 mm/s), and different cooling media (NaCl solution, mineral water, and lubricant). Following the welding process, tensile tests were conducted to evaluate the mechanical properties of the welded joints. The Taguchi Orthogonal Array L9(33) method, comprising 9 experiments with 3 replications, was utilized to determine the optimal combination of parameters. The results show that the highest tensile strength recorded was 38.75 N/mm² in the combination of a welding current of 80 A, welding speed of 4 mm/s, and cooling media using mineral water. On the other hand, the lowest tensile strength recorded was 12.70 N/mm² (70 A, 3 mm/s, NaCl solution). The welded joints indicated that 16 specimens experienced brittle fractures, while 11 specimens exhibited ductile fractures. Brittle fractures mainly occurred at the welding joints, while ductile fractures were found in the base material. Based on the Taguchi method, the optimal parameter values were identified a welding current of 90 A, a welding speed of 4 mm/s, and using lubricant as the cooling media which welding current holds the highest percentage of contribution.
Exploratory Investigation on the Influence of Machining Parameters on Surface Roughness and Tool Wear in the Turning Process of Steel ST-42 Mubarok, Khamdi; Saputro, Agung; Mustajib, M Imron
International Journal of Science, Engineering, and Information Technology Vol 8, No 1 (2023): IJSEIT Volume 08 Issue 01 31 December 2023
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/ijseit.v8i1.24559

Abstract

This study aims to investigate the influence of the conventional lathe machine's cutting parameters in the turning process of ST-42 steel material  on surface roughness and tool wear by employing an HSS tool. The examined cutting parameters encompass the spindle speed and the depth of cut, while maintaining a consistent feed rate. Each cutting parameter was evaluated at three different levels, spindle speed of 330 rpm, 360 rpm, and 500 rpm, and depth of cut 0.2 mm, 0.5 mm, and 1 mm, all with a uniform feed rate of 0.3 mm/minute. The findings of this research demonstrate that alterations in spindle speed and depth of cut exert a discernible influence on both surface roughness and tool wear. Elevated spindle speeds are associated with reduced surface roughness, albeit at the expense of increased tool wear. Conversely, deeper depth of cut correspond to heightened surface roughness, yet lead to decreased tool wear, aiming to achieve a uniform final diameter of the workpiece. By synergistic manipulation of these two parameters, the most favorable outcome in terms of surface roughness and tool wear can be identified. The lowest surface roughness was 4.42 μm, found at a spindle speed of 500 rpm coupled with the depth of cut of 0.2 mm. Meanwhile, the least amount of tool wear, quantified at 0.07 mm, was achieved at a spindle rotation speed of 330 rpm along with a cutting depth of 1 mm. The application of ANOVA analysis substantiates the statistical significance of both parameters, affirming their pivotal role in influencing surface roughness and tool wear.