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PENGGUNAAN METODE LIMA MENGAPA UNTUK MENGIDENTIFIKASI AKAR PENYEBAB CACAT PERMUKAAN BENDA KERJA PROSES PEMESINAN GERINDA DATAR: STUDI KASUS Izdihar Hirzani; Arya Danutirta; Feriadi, Indra; Yudo, Eko
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 4 (2024): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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Abstract

Surface defects of the workpiece and the emergence of sparks that suddenly enlarge during the flat grinding process cause a decrease in product quality and create unsafe working conditions. This study aims to identify the causes of surface defects of the workpiece on a flat grinding machine in the Polmanbabel advanced machining laboratory. Identification of the cause of damage using the five why analysis method. The study was preceded by defining the problem and then asking the question "why" to the problem and for each answer given approximately five times. To help answer each "why" question, an analysis of the system's working mechanism and a physical examination of the parts or components connected to the Wheelhead were carried out. The results of the study found that the root cause of the occurrence of defects on the surface of the workpiece and the phenomenon of sparks that sometimes enlarge suddenly and during the grinding process of the flat grinding machine was the destruction of the rubber components of the motor and spindle clutch. This case study also proves that the five’s why method can effectively identify the root cause of damage to the flat grinding machine.
Analisis Penyebab Getaran Pada Mesin Peniris Minyak Untuk Mencegah Kerusakan Produk Keripik Bayam Milik UMKM Jabal Dinar Maulana, Adam; Ariyanto, Ariyanto; Yudo, Eko
Manutech : Jurnal Teknologi Manufaktur Vol. 17 No. 02 (2025): Manutech: Jurnal Teknologi Manufaktur
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/manutech.v17i02.482

Abstract

 The oil-draining machine at UMKM Jabal Dinar experienced excessive vibration issues, rendering it inoperative for approximately four years. This problem impacted the quality of the spinach chips produced. This study aims to identify the main causes of unstable vibrations in the oil-draining machine, analyze their effects on product quality, and develop improvement strategies to enhance the machine's vibration stability. The method employed was experimental, with initial vibration measurements reaching 20,83 mm/s, classified in Zone D (red) according to the ISO 10816-3 standard, indicating very high vibrations that could lead to severe damage if not addressed. Modifications were made by replacing the shaft, bearings, and pulleys, as well as performing proper alignment. The improvements resulted in a significant reduction in vibration, positively impacting product quality and extending the machine's lifespan. The study concludes that component modifications and alignment corrections effectively reduced excessive vibrations in the oil-draining machine, ultimately increasing production efficiency and reducing damage to the spinach chips.
Effect of Heat Treatment and Tempering Process on the Hardness of S55c Steel as A Cutting Blade Material for Plastic Shredding Machines Yudo, Eko; Ariyanto, Ariyanto; Erwansyah, Erwansyah; Suzen, Zaldy Sirwansyah; Sugiyarto, Sugiyarto; Dharta, Yuli; Zulfitriyanto, Zulfitriyanto
Integrated Science Education Journal Vol 7 No 1 (2026): January
Publisher : Cahaya Ilmu Cendekia Publisher

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Abstract

Purpose of the study: This study aims to optimize the heat treatment process of S55C medium-carbon steel by examining the combined effects of austenitizing temperature, quenching media, and tempering temperature on impact toughness. Methodology: An experimental approach was employed using quenching and tempering treatments. Quenching was performed at three austenitizing temperatures (950°C, 1000°C, and 1050°C) with three different cooling media—salt water, oil, and seawater—followed by tempering at 100°C, 200°C, 300°C, and 400°C. All heating processes were conducted in an electric furnace. Parameter optimization was carried out using the Taguchi method with an L9 orthogonal array. Mechanical performance was evaluated through Charpy impact testing, and confirmation experiments were conducted to validate the optimal parameter combination. Main Findings: The Taguchi analysis identified the optimal quenching condition at an austenitizing temperature of 1050°C with salt water as the cooling medium, yielding the highest impact toughness. Confirmation tests supported the reliability of this result. Additionally, the tempering process showed that increasing the tempering temperature decreased hardness while significantly improving toughness, indicating effective stress relief and improved ductility in the steel microstructure. Novelty/Originality of this study: The novelty of this study lies in the integrated optimization of quenching temperature and diverse cooling media, including seawater, using the Taguchi method, with a specific focus on toughness rather than hardness alone. This research provides new insights into tailoring heat treatment parameters for S55C steel to achieve superior impact resistance, offering practical guidance for more efficient and application-oriented heat treatment strategies in manufacturing industries.
Cooling Media–Driven Shift in Dominant Machining Mechanisms: A Taguchi-Based Optimization of Surface Roughness in CNC Milling of S45C Steel Faing, Fatullah; Yudo, Eko; Kurniawan, Zaldy
Integrated Science Education Journal Vol 7 No 1 (2026): January
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v7i1.2643

Abstract

Purpose of the study: Is to optimize the surface roughness in CNC milling of S45C steel using two types of cooling media: Dromus and radiator water. Methodology: This study employed the Taguchi experimental design method to compare cooling media. Three main machining parameters, namely spindle speed, depth of cut, and feed rate, were examined at three levels using a Taguchi L9 orthogonal array. In addition, two different cooling media, namely radiator water and Dromus, were applied to investigate their effects on surface integrity. Surface roughness values ​​were measured using a standard surface roughness tester and analyzed using the Signal-to-Noise (S/N) ratio, with the results supported by Analysis of Variance (ANOVA). Main Findings: The results demonstrate that cooling media play a decisive role not only in reducing surface roughness but also in shifting the dominant machining parameter. Under radiator water cooling, spindle speed was the most influential factor, contributing 45.67% to surface roughness variation. In contrast, when Dromus was applied, depth of cut became the dominant parameter with a contribution of 63.40%. Dromus consistently produced lower surface roughness values and higher S/N ratios, indicating improved thermal control and process stability. The optimal machining condition was identified at a spindle speed of 1910 rpm, a depth of cut of 0.2 mm, and a feed rate of 330 mm/min. Novelty/Originality of this study: The novelty of this study lies in revealing how cooling media fundamentally alter surface formation mechanisms and parameter dominance, offering new insights for adaptive and efficient CNC milling optimization strategies.
Optimalisasi Parameter Proses Mesin CNC Milling Terhadap Kekasaran Permukaan Yang Akan Digunakan Untuk Membuat Cetakan Kampas Rem Depan Fadel Ramiro; Yudo, Eko; Sukanto, Sukanto
Jurnal Inovasi Teknologi Terapan Vol. 3 No. 2 (2025): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v3i2.271

Abstract

This study aims to determine the optimal parameters in the CNC Milling process to produce low surface roughness and improve the quality of brake pad molds. By applying the Taguchi method, the results showed that the process parameters have a significant effect on surface roughness. Data analysis revealed that increasing feed speed and depth were positively correlated with surface roughness. Of the parameters tested, feed speed had the largest contribution of 40.46%, followed by feed depth of 14.01%, and spindle speed of 12.36%. The optimal parameter combination proposed to achieve the best surface roughness is a feed speed of 100 mm/min, a feed depth of 0.2 millimeters, and a spindle rotation of 3343 RPM. These findings provide an important contribution to the automotive industry to improve the efficiency and quality of brake pad production, a component that plays a crucial role in vehicle safety.
Analisis Pengaruh Pahat CNMG 120404 pada Proses Bubut CNC terhadap Kekasaran Permukaan Baja S45c dengan Metode Taguchi mahdan, zio eldi; Yudo, Eko; yanto, Zulfitri
TURBO [Tulisan Riset Berbasis Online] Vol 14, No 2 (2025): TURBO: Jurnal Program Studi Teknik Mesin
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/trb.v14i2.4573

Abstract

Material baja S45C banyak digunakan pada poros pompa sentrifugal karena kualitas permukaannya dapat dioptimalkan melalui pemesinan bubut CNC. Penelitian ini bertujuan menentukan jenis kode pahat CNMG yang sesuai untuk menghasilkan kekasaran permukaan baja S45C menggunakan metode Taguchi. Parameter yang dijelaskan meliputi kecepatan spindel, kecepatan pemakanan, dan kedalaman potong. Hasil menunjukkan bahwa pahat CNMG 120404 menghasilkan kekasaran lebih halus (Ra 1,626 µm), Kondisi optimal dicapai pada kecepatan spindel 1910 RPM, kecepatan pemakanan 0,168 mm/Rev, dan kedalaman potong 0,25 mm. Pahat dengan radius hidung lebih kecil (0,4 mm) lebih sesuai untuk menghasilkan permukaan halus pada baja karbon S45C.
PENGARUH VARIASI PARAMETER TERHADAP MATERIAL REMOVAL RATE DAN KEKASARAN PERMUKAAN STAINLESS STEEL 304 PADA PROSES CNC MILLING Dimas putra utama; Yudo, Eko; Erwansyah, Erwansyah
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 2 No. 01 (2022): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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Abstract

Large material removal rate and minimal surface roughness are the desired objectives in the CNC MORI SEIKI MV40–m process with the right process parameters to obtain a large material removal rate response and minimal surface roughness. The parameters used are cut speed, nutritional depth and spindle speed. The experimental design used based on the response surface methodology method in the form of a behnken design box. The experiment was randomized as many as 3 replications to produce more optimal results. The results showed that for parameters that contribute greatly to material removal rate and surface roughness is cutting speed and depth of cut. To obtain a large material removal rate, the cut speed is set at 143.28mm/min and the depth of cut is set at 0.25mm with a yield of 4.694mm3/minute. And to get the minimal surface roughness value, the cut speed is 118.05mm/min and the depth of cut is 0.15mm with a yield of 0.964 μm.
Pengaruh Optimasi Parameter Machining CNC Milling Berbasis CAD/CAM Terhadap Percepatan Waktu Pemesinan Dudukan Cetakan Kampas Rem Arifin, Ihwan Mukhtari; Yudo, Eko; Pranandita, Nanda
Jurnal Inovasi Teknologi Terapan Vol. 4 No. 1 (2026): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v4i1.399

Abstract

This study analyzes the effect of optimizing CAD/CAM-based CNC milling parameters to reduce the machining time of a brake pad mold holder. The main issue addressed is the excessive machining duration caused by non-optimal cutting parameters, namely spindle speed, feed rate, and depth of cut. A quantitative experimental approach was employed using the Taguchi method and ANOVA, integrated with CAD/CAM simulation in Autodesk Fusion 360. A 3D model of the brake pad mold holder was developed and simulated to obtain machining time data from nine parameter combinations based on an L9 orthogonal array. The results show that depth of cut has the most significant influence on machining time (87.48%), followed by feed rate (12.49%) and spindle speed (0.03%). The optimal parameter combination was 3500 rpm spindle speed, 175 mm/min feed rate, and 0.6 mm depth of cut, achieving the shortest machining time of 16.633 seconds. This optimization improved machining efficiency by 78.12% compared to the initial condition. These findings confirm that integrating statistical optimization with CAD/CAM simulation can effectively accelerate high-precision manufacturing processes for automotive components.