Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal JURNAL POLI-TEKNOLOGI Prosiding Seminar Nasional Inovasi Teknologi Terapan
Fajar Aswin
Politeknik Manufaktur Negeri Bangka Belitung
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
PENERAPAN METODE FAILURE MODE AND EFFECT ANALYSIS (FMEA) PADA MESIN CNC TURNING MORI SEIKI SL-25 Fahira Tamimy; Fajar Aswin; Husman
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 2 No. 02 (2022): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Bangka Belitung State Manufacturing Polytechnic has machine tools such as conventional machines in the form of lathes, milling, scrap, drills and also automatic machines such as CNC lathes, milling. The machining process used in the production process is a machining process that must comply with the demands of the production quality of CNC Turning Machines at the Polman Babel Mechanical Engineering Laboratory, which often experience damage and disrupt the performance of the machine. The purpose of this research is to identify failure modes, causes of damage, and efforts to minimize and prevent damage that can be done to improve the performance of CNC machines at the Polman Babel Mechanical Engineering Laboratory. The method used to identify and analyze possible damage to the machine uses the Filure Mode and Effect Analysis (FMEA) method and is used to find the priority of the problem through the Risk Priority Number (RPN). The results of this study indicate that there is damage to the components in the form of damage to the oil seal, damage to the en-coder, blown fuse and damage to the front door switch. The results of the analysis show that the highest RPN value is the most risky cause of failure and the main cause of damage. Proposed corrective action is to immediately replace components that are no longer functioning properly by optimizing component maintenance according to applicable instructions and rules.
IMPLEMENTASI SENSOR MEMS AKSELEROMETER SEBAGAI ALAT PENGUKUR GETARAN PADA TURBIN ANGIN Fajar Aswin; Zaldy Sirwansyah Suzen
Jurnal Poli-Teknologi Vol. 18 No. 3 (2019)
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/pt.v18i3.2340

Abstract

Many techniques are available in the market to measure and analyze vibrations caused by rotating machines and the structure of the machine itself, but require expensive resources to identify the problem of damage. Generally these expensive equipment use conventional sensors such as eddy-current sensors, swing coil velocity sensors and piezoelectric transducer sensors to measure vibration. The implementation of a vibration measuring device in the form of an accelerometer sensor with a type of Micro Electro Mechanical System (MEMS) and a signal processing unit (Arduino Mega microcontroller) is used to measure vibrations that occur in small-scale horizontal type wind turbine blades. Experiments were carried out to check the accelerometer's ability to detect vibration response on wind turbine blades with the free vibration position. Then the signal in the form of the time domain will be converted into the frequency domain to get the dominant frequency value of the turbine blade, which is then analyzed to be compared with the B & K VibroPort 80 vibration meter. The experimental results show that the MEMS type accelerometer sensor can be applied to measure the free vibration conditions on wind turbine blades with an error percentage below 6%.
Co-Authors Fahira Tamimy Husman Suzen, Zaldy Sirwansyah