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All Journal Manutech : Jurnal Teknologi Manufaktur Recent in Engineering Science and Technology
Rahman, Fio Izzafur
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Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Perancangan Mesin Pengisi Cairan pada Botol Otomatis Dua Mode menggunakan Metode FEA Wistikhirana, Hanandira; Rahman, Fio Izzafur; Kaunang, Revo Alfian; Nabil, Muhammad; Muslimin, Muslimin; Luqyana, Dhiya; Muhamad, Azam Milah
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.v17i02.522

Abstract

This study examines the design and safety analysis of an automatic liquid filling machine for bottles with two modes: 250 ml and 500 ml. The problem addressed is the time-consuming and inconsistent manual bottle filling process in UMKM. The machine is designed to improve efficiency and consistency in filling liquids for UMKM. Made from PLA filament using 3D printing, the machine has dimensions of 400 mm x 350 mm x 350 mm and was analyzed using Finite Element Analysis (FEA). The load on the machine is 2.4516625 N for 250 ml and 4.903325 N for 500 ml. Simulation results show a maximum stress of 0.114 N/mm² for 250 ml and 0.118 N/mm² for 500 ml, both below the PLA material's yield strength of 26,082 N/mm². The maximum displacement is 0.002 mm for 250 ml and 0.00894819 mm for 500 ml. The minimum safety factor is 4,044e+02 for 250 ml and 1,156e+02 for 500 ml. These results confirm that the machine design is safe and reliable for automatic liquid filling in both modes.
Optimization of Bipolar Plate Machining Process Using the Taguchi Method on CNC 3-Axis Maladzi, Radhi; Mulyana, Fajar; Matsaany , Bayun; Yudisha, Nabila; Risfi, Muhammad Prasha; Rahman, Fio Izzafur; Ramadhan, Bilal; Alam, Zezero Meo Cahaya
Recent in Engineering Science and Technology Vol. 4 No. 01 (2026): RiESTech Volume 04 No. 01 Years 2026
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v4i01.140

Abstract

This study aims to optimize the machining parameters of bipolar plates using a CNC 3-axis milling machine based on the Taguchi method. Bipolar plates play a crucial role in proton exchange membrane fuel cells (PEMFCs), where dimensional accuracy and surface quality directly affect cell performance. The machining parameters considered in this research include spindle speed, feed rate, and depth of cut. An L9 orthogonal array was selected to design the experiments, and surface roughness as well as material removal rate (MRR) were evaluated as performance characteristics. Signal-to-noise (S/N) ratio analysis was applied to determine the optimal parameter combination. The results show that spindle speed and feed rate have the most significant influence on surface roughness, while depth of cut mainly affects the MRR. The optimal setting obtained was 3500 rpm spindle speed, 300 mm/min feed rate, and 0.2 mm depth of cut, which produced the lowest surface roughness and acceptable MRR. The confirmation experiment validated the Taguchi model prediction with an error of less than 5%. These findings demonstrate that the Taguchi method is an effective tool for optimizing CNC machining parameters of bipolar plates, improving both quality and manufacturing efficiency.
Co-Authors Alam, Zezero Meo Cahaya Fajar Mulyana Kaunang, Revo Alfian Luqyana, Dhiya Maladzi, Radhi Matsaany , Bayun Muhamad, Azam Milah Muhammad Nabil Muslimin Muslimin Nabila Yudisha Ramadhan, Bilal Risfi, Muhammad Prasha Wistikhirana, Hanandira