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All Journal Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Cerdika: Jurnal Ilmiah Indonesia
Mochammad Resha
Universitas Lampung
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Public Health Social Sciences Other

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Analisis Gaya Aerodinamika Pada Turbin Angin Darrius H-Rotor Tipe Tiga Sudu Mochammad Resha; Ridwan
Cerdika: Jurnal Ilmiah Indonesia Vol. 4 No. 12 (2024): Cerdika: Jurnal Ilmiah Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/cerdika.v4i12.2348

Abstract

Sudu turbin angin memiliki prinsip kerja mengkonversi energi angin menjadi energi mekanik. Bentuk sudu dipengaruhi oleh profil airfoil yang memiliki karakteristik aerodinamika berupa koefisien momen (CM) yang mempengaruhi peforma gaya aerodinamis yang dihasilkan oleh sudu. Penelitian ini bertujuan menganalisis peforma sudu turbin angin H-Rotor dengan jenis airfoil NACA 0018, SELIG 1210, dan FX 63-137 menggunakan metode Blade Element Theory. Metode penelitian dilakukan dengan menguji karakteristik aerodinamika airfoil di terowongan angin rangkaian terbuka pada kecepatan angin 7,2 m/s. Metode analisis dilakukan dengan menganalisis gaya hambat (FD), gaya angkat (FL), gaya normal (FN), gaya tangensial (FT) yang dihasilkan setiap posisi sudu. Posisi sudu dipengaruhi oleh sudut azimuth yang terdapat pada setiap sudu turbin angin tipe H-Rotor sehingga nilai sudut serang berubah – ubah pada setiap posisi sudu. Hasil analisis menjelaskan gaya tangensial mempengaruhi torsi serta daya yang akan dihasilkan. Novelty dari penelitian ini terletak pada pendekatan sistematis dalam pemilihan airfoil yang optimal berdasarkan analisis gaya aerodinamis secara komprehensif, dengan fokus khusus pada perbandingan karakteristik udara dalam berbagai posisi sudu. Pemilihan airfoil NACA 0018 dengan sudut serang pemasangan awal sebesar 15° menghasilkan rata – rata gaya tangensial selama satu putaran sebesar 502,2 Newton menjadi pilihan yang tepat digunakan pada Turbin angin H-Rotor jenis 3 sudu.
OPTIMIZING MAINTENANCE FREQUENCY ON INSTRUMENTATION WITH THE RELIABILITY CENTERED MAINTENANCE METHOD AT PT X Mochammad Resha; Eko Wahyu Saputra; Chandra Salim
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 6 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i6.4514

Abstract

In facing maintenance challenges in offshore oil and gas operational platforms, determining instrumentation components based on Safety and Environment Critical Element (SECE) with the Reliability Centered Maintenance (RCM) method requires component repair data in the 2019-2023 time interval. So far, maintenance intervals have been carried out conventionally without considering historical reliability data, which has led to over-maintenance and under-maintenance. This study aims to optimize the maintenance frequency of SECE instrumentation with the RCM approach to improve technical, operational, and economic efficiency, as well as ensure compliance with safety and environmental standards. The methodology used includes data collection, technical document analysis, reliability calculations, and the development and re-implementation of maintenance work in the system. The calculation results show that several instruments have a high level of reliability, such as the pressure transmitter at 99.86%, while the shutdown valve recorded the lowest reliability of 97.86%, which based on a significance test can be extended to a 12-month maintenance interval. Optimizing the maintenance interval resulted in a significant reduction in man-hour requirements, up to 27% on the entire platform while maintaining system reliability. Technical recommendations were also proposed, including the use of statistical approaches such as the Weibull distribution for further analysis. This research shows that a data-driven RCM approach not only improves system reliability but also resource efficiency and overall occupational safety.
Co-Authors Chandra Salim Eko Wahyu Saputra Ridwan Ridwan