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High Blow-By Pressure Failure Quantification of Doosan Excavator DX300LCA Using Bayesian Network Abdul Maajid Al Banna; Adhitya Ryan Ramadhani
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 5 No 3 (2023): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v5i3.282

Abstract

Various types of failure are likely to occur in heavy equipment operating in the mining sector, such as high blow-by pressure. The impact of this failure is a loss of engine power so that the unit cannot be used. This has the potential for work accidents to occur because the unit stops operating in a hazardous area. Therefore, the factors and dependencies that influence the occurrence of high blow by pressure will be discussed using the Fault Tree Analysis method and then the results will be used in the Bayesian Network method to do failure quantification. Meanwhile, the probability of high blow-by pressure occurring has a value of 0.0049 with the main cause being failure to compress the air with a sensitivity value of 80%. These results require companies to focus preventive maintenance activities on the engine combustion chamber to prevent similar things from happening. Beragam jenis kegagalan sangat mungkin terjadi pada alat berat yang beroperasi di sektor tambang, seperti high blow-by pressure. Dampak dari kegagalan ini ialah hilangnya tenaga mesin sehingga unit tidak dapat digunakan. Hal tersebut berpotensi untuk terjadinya kecelakaan kerja karena unit berhenti beroperasi di hazardous area. Maka dari itu, faktor-faktor yang mempengaruhi terjadinya high blow by pressure dan keterkaitannya akan dibahas menggunakan metode Fault Tree Analysis yang kemudian hasilnya akan digunakan pada metode Bayesian Network untuk dilakukan kuantifikasi kegagalan. Adapun, probabilitas terjadinya high blow-by preessure ini memiliki nilai sebesar 0,0049 dengan penyebab utama karena adanya kegagalan dalam mengompresi udara dengan nilai sensitivitas sebesar 80%. Hal tersebut mengharuskan perusahaan untuk memfokuskan kegiatan preventive maintenance pada ruang bakar mesin untuk mencegah hal serupa terjadi.
Pelatihan Pembuatan Dye-Sensitized Solar Cell (DSSC) Sederhana untuk Siswa SMA Islam Nurul Fikri Yulia, Fayza; Pradanawati, Sylvia Ayu; Hastuty, Sri; Kadarno, Purwo; Rahmawan, Yudi; Fachmi, Yose; Jaya, Arie Sukma; Riyandwita, Byan Wahyu; Widiyati, Khusnun; Barrinaya, Muhammad Akbar; Ramadhani, Adhitya Ryan; Muharram, Farid
JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Vol 8, No 1 (2024): Mei
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jpp-iptek.2024.v8i1.4869

Abstract

Energi baru terbarukan berkembang pesat seiring dengan peningkatan pemberdayaan energi baru terbarukan. Sebagai salah satu upaya pemenuhan 100% elektrifikasi di Indonesia, berbagai jenis sumber daya baru terbarukan dikelola untuk menghasilkan listrik. Di Indonesia, potensi energi matahari sangat besar. Solar panel, ke depannya menjadi salah satu alat konversi energi yang banyak dikembangkan di Indonesia. Solar panel generasi ketiga yang sedang banyak dikembangkan adalah Dye-Sensitized Solar Cell (DSSC) di mana menggunakan pewarna alami sebagai dye. SMA Nurul Fikri, Depok dipilih karena pengembangan metode konstruktif pengalaman belajar yang diadopsi pada kurikulum mereka. Dari hasil pelatihan, 100% peserta mampu membuat DSSC sederhana. Selain itu, telah terjadi peningkatan pengetahuan yang ditunjukkan dengan peningkatan persentase jumlah siswa yang mengetahui proses DSSC berdasarkan hasil pre-test dan post-test.
Estimasi Keandalan Sistem Mekanikal Dependen Menggunakan Fungsi Copula Ramadhani, Adhitya Ryan; Pranowo, Waskito
Jurnal Rekayasa Sistem Industri Vol. 13 No. 2 (2024): Vol. 13 No. 2 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i2.7219.103-112

Abstract

This paper addresses the challenge of assessing the reliability of complex mechanical systems where components are inherently correlated in their failure modes. Traditionally, the assumption of independence among these components has been employed, but it often fails to capture the real-world complexities. To overcome this limitation, copula functions are introduced as a robust methodology for modeling the dependent relationships between correlated variables within mechanical systems. This paper aims to demonstrate the utility of copulas in estimating system reliability while accounting for these dependencies. The results reveal that the Clayton copula emerges as the most suitable model for representing dependence in such systems. Importantly, the reliability estimates obtained through copula-based methods not only reflect the complex interdependencies accurately but also align with the principles of the boundary theory of reliability. This research underscores the potential of copula-based reliability estimation as a valuable alternative, offering a more comprehensive and precise assessment of reliability in complex mechanical systems and holding significant promise for practical engineering applications. This framework allows the consideration of dependence among the observed variables that is usually overlooked in engineering practice.
Quantitative Risk Assessment of Hydrotreated Vegetable Oil at an Oil and Gas Company Tjahjono, Muhammad Iman Tsalatsa Raihan; Ramadhani, Adhitya Ryan
The Indonesian Journal of Occupational Safety and Health Vol. 13 No. 3 (2024): The Indonesian Journal of Occupational Safety and Health
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/ijosh.v13i3.2024.322-333

Abstract

Introduction: An oil and gas refinery operates various equipment with specific functions for different processes. Each piece of equipment has potential hazards that can damage the equipment and injure or kill workers. This study focuses on the hydrotreated vegetable oil (HVO) export facility from the jetty loading area at an oil and gas company that processes flammable liquid using various equipment. Methods: The HAZOP method determined the hazardous spots, and the probability of each equipment failure corresponding to the system was also determined using fault tree analysis (FTA). Furthermore, every event tree analysis (ETA) output probability was also determined. The probability and radius of pool fire varied for different leak hole scenarios. The final steps are individual risk per annum and potential loss of life to measure the risk level of the system. Results: Based on HAZOP deviation scenarios, every operating equipment can potentially cause a pool fire. In FTA, scenarios were developed based on different leakage hole sizes, ranging from 1-3 mm, 3-10 mm, 10-50 mm, 150 mm, and >150 mm. The results indicated that leakage could occur across all operating equipment. Similarly, the ETA applied the same bore size scenarios. The consequence analysis yielded a worst-case outcome of pool fire and a best-case outcome of un-ignited fluid release. Subsequently, the pool fire output was modeled using ALOHA, which resulted in three heat flux zones: the red zone (10 kW/m²), the orange zone (5 kW/m²), and the yellow zone (2 kW/m²). Smaller leak holes had a higher probability but smaller pool fire radius. The initial risk of the export facility was unacceptable. Furthermore, insufficient safeguards contribute significantly to the resulting high-risk level. Two mitigations were implemented: adding safeguards and reducing worker hours. Conclusion: The final results showed that for every piece of equipment, the overall risk of the export facility became acceptable after mitigation..