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All Journal Mechatronics, Electrical Power, and Vehicular Technology Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Rawa Sains: Jurnal Sains STIPER Amuntai International Journal of Renewable Energy Development
Rajani, Ahmad
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Agriculture, Biological Sciences & Forestry Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering

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Journal : Mechatronics, Electrical Power, and Vehicular Technology

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Three axis deviation analysis of CNC milling machine Subagio, Dalmasius Ganjar; Subekti, Ridwan Arief; Saputra, Hendri Maja; Rajani, Ahmad; Sanjaya, Kadek Heri
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 10, No 2 (2019)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3373.202 KB) | DOI: 10.14203/j.mev.2019.v10.93-101

Abstract

The manufacturing technology has developed rapidly, especially those intended to improve the precision. Consequently, increasing precision requires greater technical capabilities in the field of measurement. A prototype of a 3-axis CNC milling machine has been designed and developed in the Research Centre for Electrical Power and Mechatronics, Indonesian Institute of Sciences (RCEPM-LIPI). The CNC milling machine is driven by a 0.4 kW servo motor with a spindle rotation of 12,000 rpm. This study aims to measure the precision of the CNC milling machine by carrying out the measurement process. It is expected that the CNC milling machine will be able toperform in an optimum precision during the manufacturing process. Accuracy level testing is done by measuring the deviations on the three axes namely X-axis, Y-axis, and Z-axis, as well as the flatness using a dial indicator and parallel plates. The measurement results show the deviation on the X-axis by 0.033 mm, the Y-axis by 0.102 mm, the Z-axis by 0.063 mm, and the flatness of the table by 0.096 mm, respectively. It is confirmed that the deviation value is within the tolerance standard limits set by ISO 2768 standard. However, the calibration is required for this CNC milling machine to achieve more accurate precision. Furthermore, the design improvement of CNC milling machine and the application of information technology in accordance with Industry 4.0 concept will enhance the precision and realibility.
Sustainable energy production: Performance evaluation of a generator-set using cow dung-based biogas Kusnadi, Kusnadi; Wahid, Mazlan Abdul; Yasin, Mohd Fairus Mohd; Rajani, Ahmad; Fudholi, Ahmad
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.967

Abstract

Interest in utilizing new and renewable energy sources, commonly known as bioenergy, has significantly grown in the past decade due to the mounting environmental concerns, such as air pollution, global warming, and ozone layer depletion, resulting from the accelerated consumption of fossil fuels. Biogas, derived from the anaerobic decomposition of organic materials like cow dung, presents a viable solution due to its high methane content and calorific value. This study aims to assess the performance of biogas-fueled generator sets utilizing cow dung as the raw material for biogas production. The generator set employed has a power capacity of 2,500 Watts, and various load variations ranging from 150 to 350 Watts were applied. The parameters measured include voltage, current, biogas discharge, and efficiency. The findings indicate that the generator's output power for the five load variations of 150, 200, 250, 300, and 350 Watts are 150, 226.7, 266, 298.3, and 372.3 Watts, respectively. Moreover, the fuel consumption rates range from 0.013 to 0.009 kg/minute for the 150 to 350 Watts load, respectively. Notably, the 350 Watts loading exhibits the highest efficiency compared to other load variations, with an efficiency percentage of 14.51 %. This research advances our knowledge of the useful uses of biogas in generating systems, where its use is growing.
Co-Authors Ahmad Fudholi Ahmad, Nasarudin Arifin, Muhammad Subhan Dalmasius Ganjar Subagio Hendri Maja Saputra Ilma Ifada, Inda Jayawarsa, A.A. Ketut Komarudin, Udin Mat Said, Dalila Noorden, Zulkarnain Ahmad Ramdhani, Rendi Ridwan Arief Subekti Sanjaya, Kadek Heri Selly Septianissa Subagyo Subagyo Tinton Dwi Atmaja Wahid, Mazlan Abdul Yasin, Mohd Fairus Mohd Zuraida, Ana