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All Journal Jurnal Mekanik Terapan Recent in Engineering Science and Technology
Radhi Maladzi
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Enhancing Proton Exchange Membrane Fuel Cell (PEMFC) Performance through Optimized Design of Parallel Channel Bipolar Plates Moh Nurkhamal; Rizkia, Vika; Vina Nanda Garjati; Radhi Maladzi
Recent in Engineering Science and Technology Vol. 3 No. 01 (2025): RiESTech Volume 03 No. 01 Years 2025
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v3i01.94

Abstract

In this modern era, the demand for efficient and environmentally friendly energy sources is increasing. One technology with significant potential to meet this demand is the Proton Exchange Membrane Fuel Cell (PEMFC). This study aims to investigate the influence of channel width and depth variations in parallel bipolar plate designs on PEMFC performance. Computational Fluid Dynamics (CFD) was employed to analyze hydrogen flow distribution and pressure across various design variations. The results demonstrate that channel width and depth significantly affect pressure distribution and flow velocity, which in turn influence the efficiency of the PEMFC system. Increasing channel width generally reduces maximum pressure, while deeper channels help to distribute pressure more evenly across the bipolar plate. Optimized channel width and depth can enhance PEMFC operational performance by reducing pressure drop and promoting uniform flow distribution.
GRBL Based 3 Axis CNC Milling Design Azam Milah Muhamad; Radhi Maladzi; Luqyana, Dhiya; Damis, Candra; Nurjanah, Darul
Jurnal Mekanik Terapan Vol 6 No 3 (2025): Desember 2025
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/jmt.v6i3.7567

Abstract

This study presents the design and fabrication of a GRBL-based 3-Axis CNC Milling Machine for laboratory and small-scale industry applications. The system is controlled by an Arduino Uno using GRBL firmware, with NEMA 17 stepper motors and a DC 775 spindle. The Quality Function Deployment (QFD) method was applied to align the design with user requirements. The machine features a 600 × 400 mm working area, 200 Watt power consumption, and spindle speed ranging from 3,000 to 12,000 RPM. Testing results demonstrate high precision and energy efficiency. This machine is suitable for digital manufacturing education and prototyping.
Co-Authors Azam Milah Muhamad Damis, Candra Darul Nurjanah Luqyana, Dhiya Moh Nurkhamal Vika Rizkia Vina Nanda Garjati