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All Journal Engineering and Technology International Journal (EATIJ) Jurnal Polimesin
Ulhakim, Muhamad Taufik
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Evaluation of Science Implementation in Mechanical Engineering Design Curriculum Class 2A State Polytechnic of Jakarta Pekalongan City Campus Academic Year 2023/2024 Dewadi, Fathan Mubina; Supriyadi, Supriyadi; Sulaiman, Abel Raffi Putra; Ulhakim, Muhamad Taufik
Engineering and Technology International Journal Vol 6 No 02 (2024): Engineering and Technology International Journal (EATIJ)
Publisher : YCMM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55642/eatij.v6i02.730

Abstract

The influence of science in mechanical engineering design is very significant. Science provides a foundation of in-depth knowledge of the principles of physics, mathematics, and chemistry that are used to design efficient and innovative machines. The method used is a quantitative method with descriptive statistics. This method is an approach to research that focuses on data collection and data analysis based on numbers or quantities. From the method presented, it can be concluded that this method can make it easier to make better decisions based on structured numerical information. The results of this research refer to 3 parameters, namely kurtosis value, maximum value and minimum value. several other parameters are also displayed such as mean value, standard error, median, mode, standard deviation, sample variance, skewness, range, sum and count. It can be concluded from this study that the data does not have a normal distribution because the kurtosis number is not 0. Based on the data descriptive statistics, the maximum valuein this study is 31, the minimum value in this study is 20.
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.
Co-Authors Fathan Mubina Dewadi Rohman Rohman Sukarman Sukarman Sulaiman, Abel Raffi Putra Supriyadi Supriyadi Supriyanto, Danang