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Vivien Suphandani Djanali
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JMES The International Journal of Mechanical Engineering and Sciences Editorial Office Jurusan Teknik Mesin, ITS Kampus ITS Sukolilo Surabaya 60111 Building C, Floor 2 Indonesia
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JMES The International Journal of Mechanical Engineering and Sciences
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : -     EISSN : 25807471     DOI : https://dx.doi.org/10.12962/j25807471
Core Subject : Science, Engineering,
Energy Materials Science & Nanotechnology Mechanical Engineering
Topics covered by JMES include most topics related to mechanical sciences including energy conversion (wind, turbine, and power plant), mechanical structure and design (solid mechanics, machine design), manufacturing (welding, industrial robotics, metal forming), advanced materials (composites, nanotube, metal foam, ceramics, polymer), metallurgy (corrosion, non-destructive testing, heat treatment, metal casting), heat transfer, fluid mechanics, thermodynamics, mechatronics and controls, advanced energy storage and devices (fuel cell, electric vehicle, battery), numerical modelling (FEM, BEM).
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 93 Documents
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Simple Bond-Graph Model To Predict Dried Material Temperature Evolution in A Batch Type Rotary Dryer Waluyo, Sugeng; Ardiansyah, Ardiansyah; Latifasari, Nurul; Kartiko, Condro; Arsil, Poppy; Wicaksono, Rumpoko; Aliim, Muhammad Syaiful; Naufalin, Rifda
JMES The International Journal of Mechanical Engineering and Sciences Vol 8, No 2 (2024)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v8i2.14934

Abstract

In this work, we model temperature evolution inside a batch type rotary dryer by using the bond-graph method. The evolution model proposed here is mainly developed to predict dried material temperature inside the dryer during drying process. We implement the model in the 20-SIM bond-graph simulator (Controllab Products, the Netherlands) which shows realistic behaviors of the dried material temperature evolution with different combustion scenarios and rotation speeds.
Numerical Study of Heat Sink Models Mosquito Hotend on FDM 3D Printer to Determine Heat Transfer Characteristics Fadhlurrohman, Rafi; Dwiyantoro, Bambang Arip
JMES The International Journal of Mechanical Engineering and Sciences Vol 8, No 1 (2024)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v8i1.19769

Abstract

Fused Deposition Modelling 3D printing technology is generally used to print polymer-based materials in the form of filaments. The FDM process begins with the filament entering the liquifier area through the throat using a filament feed mechanism. During this process, clogging often occurs in hotend components because the filament melts before reaching heat block. The clogging phenomenon will result in the filament unable to extrude properly, so that the results are not optimal. In this research, numerical study will be carried out to review the temperature distribution of the Mosquito hotend, as well as the effect of variations in air flow velocity at speeds of 0 m/s, 0.25 m/s, 0.5 m/s, 0.75 m/s, and 1 m/s. Based on the results of the CFD simulation, it was observed that the temperature at the Mosquito hotend is spread asymmetrically. On the heat sink component, the part facing the inlet of the airflow and the farthest point from the heater, has a lower temperature than the opposite side. This causes an asymmetrical temperature distribution during the heat break, so that the filament melting process does not occur evenly, which will result in clogging. In addition, airflow with a faster velocity will provide a better cooling system quality. This happens because the convection coefficient increases with the increase in air velocity, thereby increasing the amount of heat to be dissipated.
Calculation of Lighting Capacity on The Pinisi Tourist Ship Using the Zonal Cavity Method Suardi, Suardi; Setiawan, Wira; Alamsyah, Alamsyah; Wulandari, Amalia Ika; Pawara, Muhammad Uswah; Raditya, Muhammad Yogi; Rifai, Muhammad
JMES The International Journal of Mechanical Engineering and Sciences Vol 8, No 2 (2024)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v8i2.17251

Abstract

Pinisi tourist ship is one of the tourist ship designs made to increase the interest of tourists to come to Taka Bonerate National Park. This tourist destination presents excellent maritime beauty, especially its coral reefs. Just like ships in general, pinisi also requires a supply of electricity, especially for use in lighting on board. This research aims to analyze the need for lighting power on board, by carrying out the concept of a tourist ship, the lighting system is also made like in a hotel with the aim of pampering tourists. In planning, the lighting system is made into two conditions, namely conditions during sleep and normal conditions. The type of lamp used is an LED lamp which is proven to be better than other types of lamps. The method used is the zonal cavity method or usually called the lumen method. The advantage of this method is that the power of the lights used in the room will be just right according to the needs of the room, neither more nor less, so it won't interfere with your eyesight because the lights don't feel dim or too bright. The results obtained were the following values for each Junction Lighting (JL), bottom deck (JL1) obtained a value of 0.419 kW, main deck (JL2) obtained a value of 1.058 kW, upper deck (JL3) obtained a value of 0.893 kW. The calculation value for the Junction Emergency (JE) was also obtained at 0.506 kW.
Numerical study of the installation configuration of four Savonius hydrokinetic turbines in the cooling water channel of PAITON Power Plant Wulaningtyas, Oktafika; Yuwono, Tri Yogi
JMES The International Journal of Mechanical Engineering and Sciences Vol 9, No 1 (2025)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v9i1.21937

Abstract

The energy crisis caused by decreasing fossil fuel reserves encourages the development of renewable energy, one of which is water energy from rivers, lakes, and canals. The Paiton PLTU cooling water channel, which is 2 km long, 15 m wide, and 10 m deep with a flow speed of 1-2.8 m/s, has great potential as an energy generator by installing a Savonius hydrokinetic turbine. This study aims to identify the optimal tandem spacing to avoid turbine interaction. This study uses numerical simulations using Ansys Fluent 2023 R2 with four tandem turbines rotating Counterclockwise and Clockwise. The distances between the turbines (T/D) studied are 2.1, 4.4, 60, and 300. At close T/D distances (2.1 and 4.4), the turbines influence each other, reducing the performance of the front turbine. When the distance increases to T/D = 60, the rear turbine influence decreases, so the front turbine can perform similarly to a single turbine. At T/D = 300, both turbines operate optimally with minimal interaction, achieving efficient performance and increased torque and power output.
Performance of a Savonius Turbine with Circular Cylinders Installed in Front of the Convex Blade and Next to the Concave Blade Shabrina, Dhia Fairuz; Yuwono, Tri Yogi
JMES The International Journal of Mechanical Engineering and Sciences Vol 9, No 1 (2025)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v9i1.21959

Abstract

Energy demand is found to be increasing alongside population growth. With fossil energy resources depleting, the necessity for utilizing renewable energy sources, such as wind energy, is recognized. The Savonius wind turbine, characterized by simple construction and the ability to operate at low angular speeds, is noted for its poor efficiency. Circular cylinders were installed to evaluate their impact on turbine performance. Experiments were conducted using two configurations. In the first configuration, a circular cylinder was placed beside the concave blade. In the second configuration, circular cylinders were installed next to the concave blade and in front of the convex blade. Circular cylinders with a diameter of 0.5 times that of the turbine blade were utilized. Wind speeds were varied at 4, 5, 6, and 7 m/s. The coefficients of moment, power, and static torque were obtained. Analysis indicated that the addition of the cylinders in both configurations did not significantly enhance the coefficients of power and moment, but did improve the turbine's ability to self-start. For the turbine with the circular cylinder installed, increasing wind speed resulted in decreasing relative performance compared to the conventional turbine.
Path Planning Optimization of Automated Ground Vehicle in Inspecting Boeing 757-200 Aircraft Using Genetic Algorithm and Simulated Annealing Methods Effendi, Mohammad Khoirul; Wijaya, Ryan Filbert; Daman, Aida Annisa Amin
JMES The International Journal of Mechanical Engineering and Sciences Vol 9, No 1 (2025)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v9i1.22396

Abstract

Transportation plays a critical role in modern society, with air travel being a key component of long-distance mobility. Despite strict regulations by the Federal Aviation Administration (FAA) and mandatory periodic inspections, aircraft maintenance issues often arise due to human error. Factors such as fatigue and the challenges of working in hard-to-reach areas contribute to these errors. Automated Ground Vehicles (AGVs) equipped with automated inspection systems offer a promising solution by reducing reliance on human performance, enabling inspections that are more accurate, efficient, and automated. However, optimizing inspection routes to minimize travel distance remains a challenging issue. This study aims to optimize the inspection distance for AGVs inspecting the underside of a Boeing 757-200 aircraft using MATLAB R2023a simulation tools. The input data for the simulation consists of the x, y, and z coordinates of various inspection points on the aircraft, and the output is the total distance travelled by the AGV during inspection. The objective is to minimize the travel distance, calculated as a vector from one point to the next. Two optimization methods to be compared include Simulated Annealing (SA) and Genetic Algorithm (GA). The SA method involves varying parameters such as the number of iterations, initial temperature, and cooling rate. Meanwhile, the GA method varies the number of iterations, population size, and crossover and mutation percentages. The study evaluates the performance of both methods using a dataset of 34 inspection points. The results show that Simulated Annealing produces the most optimal path-planning distance, achieving a minimum of 85.099 meters across all parameter variations. This optimized solution contributes to more efficient and reliable aircraft maintenance processes, reducing human error and enhancing air travel safety and reliability.
Human Performance and Cybersickness Evaluation of Mixed Reality Device for Immersive Assembly Simulation Training: A Case Study of Microsoft Hololens 2 Akbar, Reza Aulia; Lin, Chiuhsiang Joe; Widyaningrum, Retno; Sudiarno, Adithya; Anityasari, Maria
JMES The International Journal of Mechanical Engineering and Sciences Vol 9, No 1 (2025)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v9i1.22480

Abstract

A Mixed Reality device is a new technology that provides immersive training experiences. One of the mixed reality technology with high immersion, high interaction, and high information is Microsoft Hololens 2. Smart glasses are classified as OST-HMDs (Optical See-Through Head-Mounted Displays), which display augmented objects in a mixed-reality environment. The use of HMDs can cause cybersickness symptoms that users feel. This study aims to assess the human performance and cybersickness of Hololens 2 for immersive training. The training object was an augmented assembly engine comprising six parts. Using Hololens 2 as an assembly simulator training, participants experienced a significant increase in performance and learning rate with minor errors. Hololens 2 produces light symptoms that the user perceives as general discomfort, fatigue, difficulty focusing, sweating, difficulty concentrating, and blurred vision. However, Hololens 2 experienced negligible symptoms based on the cybersickness factor: Nausea (3.98), Oculomotor (6.32), and Disorientation (2.32). Based on the SSQ scoring matrix assessment, Hololens 2 obtained an SSQ score of 4.48, which is classified as a minor symptom of cybersickness. A Mixed Reality device is a new technology that provide immersive training experiences. One of the mixed reality technology with high immersion, high interaction, and high information is Microsoft Hololens 2. Smart glasses are classified as OST-HMDs (Optical See-Through Head-Mounted Displays), which display augmented objects in a mixed-reality environment. The use of HMDs can cause cybersickness symptoms that users feel. This study aims to assess the human performance and cybersickness of Hololens 2 for immersive training. The training object was an augmented assembly engine comprising six parts. Using Hololens 2 as an assembly simulator training, participants experienced a significant increase in performance and learning rate with minor errors. Hololens 2 produces light symptoms that the user perceives: General discomfort, fatigue, difficulty focusing, sweating, difficulty concentrating, and blurred vision. However, Hololens 2 experienced negligible symptoms based on the cybersickness factor: Nausea (3.98), Oculomotor (6.32), and Disorientation (2.32). Based on the SSQ scoring matrix assessment, Hololens 2 obtained an SSQ score of 4.48, which is classified as a minor symptom of cybersickness.
Oxide Dispersion Strengthened Steels: Precipitation Kinetics and Matrix Phase Transformation Unegbu, Hyginus Chidiebere Onyekachi; Yawas, Danjuma S.; Asabe, B Dan; Alabi, A A
JMES The International Journal of Mechanical Engineering and Sciences Vol 9, No 1 (2025)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v9i1.21705

Abstract

This study presents a comprehensive investigation of the microstructural features, precipitation kinetics, phase transformations, and mechanical properties of Oxide Dispersion Strengthened (ODS) steels, with a focus on the impact of Y₂O₃ particle dispersion. Detailed microstructural analysis using Transmission Electron Microscopy (TEM) and Scanning Electron Microscopy (SEM) revealed a fine and uniform distribution of Y₂O₃ particles, averaging 10-15 nm in size, which contributed to significant grain refinement to 5-7 µm. The precipitation kinetics, examined through Differential Scanning Calorimetry (DSC) and dilatometry, showed a diffusion-controlled mechanism with an activation energy of 230 kJ/mol. The dispersed oxide particles delayed the austenite-to-martensite transformation, stabilizing the austenitic phase at higher temperatures, as confirmed by in-situ High-Temperature X-ray Diffraction (HT-XRD). Mechanical tests demonstrated a hardness of 320 HV and a tensile strength of 600 MPa, with a total elongation of 12%. These results highlight the effectiveness of oxide dispersion in enhancing the mechanical strength and thermal stability of ODS steels. The findings suggest that ODS steels are highly suitable for high-performance applications, particularly in environments such as nuclear reactors and aerospace, where high temperature, radiation resistance, and mechanical durability are critical. Future work should explore the long-term stability of these materials under operational conditions to further optimize their performance.
A Participatory Risk-Matrix Framework for User-Centered Validation of a Manual Standing Wheelchair Wikarta, Alief; Nurirawan, Rizkhi
JMES The International Journal of Mechanical Engineering and Sciences Vol 9, No 2 (2025)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v9i2.23228

Abstract

This study presents a participatory, risk-based validation framework for a manually actuated standing wheelchair. The standing function offers both physical and psychosocial benefits, including greater independence, improved social interaction, and better access to vertical space. However, adoption of such devices remains limited, especially in low-resource settings, due to concerns about usability, comfort, and safety. Rather than emphasizing technical novelty, the contribution of this study lies in applying a user-centered risk-matrix approach to systematically translate stakeholder concerns into design priorities. Through engagement with eight stakeholders, including direct users and institutional representatives, the study collected qualitative feedback on user experience. This feedback was organized into eight thematic risk categories. Among them, stability during transitions and the level of physical effort required were identified as the most pressing concerns. Each risk type was then evaluated using a qualitative 5×5 matrix to assess its likelihood and potential impact. This structured process enabled the design team to prioritize and implement targeted improvements, effectively reducing the likelihood of tipping-related risks. However, physical accessibility, particularly for users with limited upper-body strength, remained a high, unmitigated risk due to inherent limitations of manual operation. The study highlights the importance of integrating structured risk analysis with real user input to inform assistive technology development that is not only functional, but also contextually responsive.
Intelligent Fault Prediction in Diesel Engines: A Comparative Study of SVM and BPNN for Condition-Based Maintenance Nurdin, Fadli; Effendi, Mohammad Khoirul; Mohakul, D
JMES The International Journal of Mechanical Engineering and Sciences Vol 9, No 2 (2025)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v9i2.22724

Abstract

This study discusses the application of Support Vector Machine (SVM) and Backpropagation Neural Network (BPNN) in predicting diesel engine health based on operational data that has been relabeled using K-Means Clustering. Two types of SVM kernels were tested, namely Radial Basis Function (RBF) and Sigmoid, with various parameter combinations. The results indicate that SVM with a Sigmoid kernel achieved an accuracy of 94.06% but was less sensitive in detecting unhealthy engine conditions. In comparison, the BPNN method with a three-hidden-layer configuration (1-2-1 neurons) and the tansig activation function demonstrated superior performance, achieving an accuracy of 97.13%, MSE of 0.03, recall of 94%, precision of 100%, and an F1-score of 97%. These results confirm that BPNN outperforms SVM in capturing complex data patterns and is more accurate in detecting unhealthy engine conditions. Furthermore, dataset relabeling significantly improved prediction accuracy from 72.3% to 97.13%, emphasizing the importance of data balance in modeling. Overall, this study demonstrates that BPNN with an optimal configuration is more effective in predicting diesel engine health than SVM, making it a more reliable approach for engine condition monitoring.Keywords: Diesel Engine; Machine Health Prediction; Support Vector Machine; Backpropagation Neural Network; Condition-Based Maintenance; Artificial Intelligence

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