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Anita Susilawati
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Teknik Mesin, Fakultas Teknik, Universitas Riau Kampus Bina Widya, Jl. HR. Soebrantas Km. 12,5 Panam, Pekanbaru 28293, Riau, INDONESIA
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Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Published by Universitas Riau
ISSN : 23547065     EISSN : 25276085     DOI : http://dx.doi.org/10.36842/jomase
Core Subject : Science, Engineering,
Aerospace Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering
The mission of the JOMAse is to foster free and extremely rapid scientific communication across the world wide community. The JOMAse is an original and peer review article that advance the understanding of both science and engineering and its application to the solution of challenges and complex problems in naval architecture, offshore and subsea, machines and control system, aeronautics, satellite and aerospace. The JOMAse is particularly concerned with the demonstration of applied science and innovative engineering solutions to solve specific industrial problems. Articles preferably should focus on the following aspects: new methods or theory or philosophy innovative practices, critical survey or analysis of a subject or topic, new or latest research findings and critical review or evaluation of new discoveries. Scope The JOMAse welcomes manuscript submissions from academicians, scholars, and practitioners for possible publication from all over the world that meets the general criteria of significance and educational excellence. The scope of the journal is as follows: Naval Architecture and Offshore Engineering Computational fluid dynamic and Experimental Mechanics Hydrodynamic and Aerodynamics Noise and Vibration Aeronautics and Satellite Engineering Materials and Corrosion Fluids Mechanics Engineering Stress and Structural Modeling Manufacturing and Industrial Engineering Robotics and Control Heat Transfer and Thermal Power Plant Engineering Risk and Reliability Case studies and Critical reviews
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 335 Documents
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Weibull Reliability Modeling with Right-Censored Data and Age-Replacement Optimization for IDG on Boeing 737-900ER Yulasmana, Yoga; Barliansah, Beni
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 70 No 1 (2026): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v70i1.593

Abstract

This paper develops a Weibull-based reliability model for the Integrated Drive Generator (IDG) installed on Boeing 737-900ER aircraft operated in Indonesian low-cost carrier conditions. Time-to-removal is modeled on a Flight Hours (FH) exposure scale and explicitly incorporates right-censored observations using Maximum Likelihood Estimation (MLE). The estimated Weibull shape parameter (?= 3.308 and ? = 7261 FH) indicates a wear-out dominated failure pattern typical of rotating machinery degradation. An age-replacement cost model is then formulated to minimize expected cost rate (USD per FH) by trading planned preventive cost, unplanned corrective cost, and downtime penalties. The Mean Time to Failure (MTTF) is approximately 6514 FH. Cost optimization results suggest an optimal preventive replacement interval in the range of 4750-6650 FH, with a baseline recommendation of approximately 5450 FH. A sensitivity analysis across representative cost scenarios demonstrates how the optimal preventive maintenance interval shifts when operational disruption costs increase. The proposed workflow provides a practically implementable template for maintenance planning of removal-driven line replaceable units under high utilization.
Implementation of the Analytic Hierarchy Process (AHP) to Determine Key Performance Indicator (KPI) Weights for Steam Turbine Power Plant Using Python Anggriawan, Akbar; Nazaruddin, Nazaruddin; Susilawati, Anita
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 70 No 1 (2026): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v70i1.582

Abstract

The optimization of Key Performance Indicators (KPIs) in steam turbine power plants is crucial for enhancing operational efficiency in the palm oil processing industry. This study applies the Analytic Hierarchy Process (AHP) to determine the relative weights of KPIs, thereby supporting data-driven decision making for performance improvement. Four critical KPIs were evaluated through pairwise comparisons expertise. A Python based computational model was developed to automate AHP calculations, ensuring accuracy and efficiency in deriving priority weights. This study reveals power output (47.16%) is the most significant KPI, followed by availability factor (38.58%), steam consumption (9.69%), and capacity factor (4.58%). The consistency ratio (CR) for all expert judgments was below 0.10, validating the reliability of the AHP outcomes. This research demonstrates that integrating AHP with Python programming provides a robust framework for KPI prioritization. The findings offer practical insights for industry stakeholders to optimize steam turbine performance and reduce operational inefficiencies.
Analysis of the Coefficient of Performance in a Cascade Flash Chamber Cooling System for Fishing Vessels Chantika, Shelfira Priti; Rayhan, Dr. Fajri Ashfi
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 70 No 1 (2026): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v70i1.586

Abstract

Global climate change is closely related to increasing greenhouse gas emissions, including those generated by energy-intensive refrigeration systems on fishing vessels. Conventional onboard cooling systems often operate at relatively low efficiency, resulting in high fuel consumption and environmental impact. This study aims to analyze the coefficient of performance (COP) of a cascade refrigeration system with a flash chamber for fishing vessel applications by evaluating the influence of refrigerant selection and intermediate operating temperature. A steady-state thermodynamic simulation model was developed using Engineering Equation Solver (EES). Three refrigerants, namely R134a, R404A, and R407C, were investigated under intermediate temperature variations of 10–30 °C. The model was validated through comparison with reference data from the literature. Simulation results include compressor power consumption, condenser heat rejection, evaporator heat absorption, and COP values. The results indicate that intermediate temperature significantly affects compressor work distribution between the low-stage and high-stage compressors. Among the evaluated refrigerants, R134a achieved the highest COP under all operating conditions, while R404A showed lower condenser heat rejection and cooling capacity. Overall, the cascade refrigeration system with a flash chamber demonstrates improved energy performance and offers a promising solution to reduce fuel consumption and greenhouse gas emissions in marine refrigeration applications.
Metallurgical Review of Al-Cu Friction Welded Joints Salman, Nidya Jullanar
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 70 No 1 (2026): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v70i1.581

Abstract

Friction welding of aluminum and copper is a solid-state joining technique widely used in electrical and industrial applications. Significant differences in physical and thermal properties between these metals create challenges at the joint interface. This review focuses on the metallurgical characterization of Al–Cu friction welded joints, emphasizing intermetallic compound (IMC) formation and growth, and the influence of process parameters such as temperature, pressure, friction time, and rotational speed on microstructure and mechanical performance. Excessive IMC layers can cause embrittlement, interfacial cracking, porosity, and reduced thermal stability. Recent advances in process optimization, active cooling, and interface engineering have improved joint strength, ductility, and conductivity. Controlling IMC growth and understanding intermetallic diffusion are crucial for producing reliable Al-Cu joints. This review summarizes current strategies for enhancing the mechanical performance of Al–Cu friction welded joints.
Dynamic Response Analysis of Commuter Aircraft Windshield Under Drone Impact Using Finite Element Method Erlangga, Noval; Ramadhan, Raihan Farhan
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 70 No 1 (2026): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v70i1.571

Abstract

This study investigates the dynamic response of a commuter aircraft windshield subjected to drone impact and compares its damage characteristics with bird-strike conditions. Numerical simulations were conducted using the finite element method (FEM), incorporating variations in impact location, angle, and velocity. The results show that both impact location and angle significantly affect damage severity. For location and angle variations, the drone penetrated the windshield, with the most severe damage occurring at the center location and a 0° impact angle, resulting in maximum energy absorption of 1573.98 J. The plastic strain area at the center and at 0° was wider than at the upper edge and 22.5°, respectively. For velocity variations, the highest absorbed energy of 1975.04 J occurred at 105.5 m/s. At 58 m/s, cracking occurred without penetration, while penetration occurred at 80 m/s and above. Despite its lower mass compared to a 910 g bird, the drone impact proved more hazardous due to windshield penetration.

Page 34 of 34 | Total Record : 335

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