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Andi Firdaus Sudarma
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ijimeam@mercubuana.ac.id
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Universitas Mercu Buana Program Studi S2 Teknik Mesin Jl. Meruya Selatan No. 01, Kembangan, Jakarta Barat 11650, Indonesia
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International Journal of Innovation in Mechanical Engineering and Advanced Materials
Published by Universitas Mercu Buana
ISSN : 2477541X     EISSN : 24775428     DOI : https://dx.doi.org/10.22441/ijimeam
Core Subject : Science, Engineering,
Automotive Engineering Energy Engineering Materials Science & Nanotechnology Mechanical Engineering
The journal publishes research manuscripts dealing with problems of modern technology (power and process engineering, structural and machine design, production engineering mechanism and materials, etc.). It considers activities such as design, construction, operation, environmental protection, etc. in the field of mechanical engineering and other related branches. In addition, the journal also publishes papers in advanced materials related with advanced electronic materials, advanced energy materials, advanced engineering materials, advanced functional materials, advanced materials interfaces, and advanced optical materials.
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 6 Documents
 1 
Search results for , issue "Vol 6, No 3 (2024)" : 6 Documents clear
Statistical Analysis Engine Capacity, Weight, and Torque on MPV Fuel Consumption Using Regression and Correlation Algorithms Salafuddin, Hafidz; Pradipta, Nanang K; Adnan, Farrah Anis Fazliatul; Rhee, Jong Soo; Ginting, Dianta
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 6, No 3 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i3.28137

Abstract

The rapid increase in production and usage of Multi-Purpose Vehicles (MPVs) in Indonesia has led to heightened concerns over fuel consumption, environmental pollution, and economic sustainability. This study investigates the relationship between engine capacity, vehicle weight, engine torque, and fuel consumption in MPVs, aiming to provide a better understanding of how these variables influence fuel efficiency. Data from 1500 cc MPV models produced between 2023 and 2024 were collected, including technical specifications such as engine capacity, weight, torque, and reported fuel consumption. Using MATLAB, linear regression and Pearson correlation analysis were employed to analyze these relationships. The results reveal that vehicle weight has the most significant impact on fuel efficiency, exhibiting a strong negative correlation of -0.69, meaning that heavier vehicles tend to consume more fuel. Engine capacity showed a moderate negative correlation of -0.28, while engine torque had a weak correlation of -0.11, indicating that torque plays a less critical role in determining fuel consumption under normal driving conditions. The regression analysis further confirmed that vehicle weight is the most influential factor, with reductions in weight providing the greatest potential for improving fuel efficiency. These findings have important implications for both manufacturers and consumers. Automotive manufacturers are encouraged to prioritize the use of lightweight materials and advanced engineering designs to enhance fuel efficiency. Additionally, consumers can use this information to make informed decisions when selecting MPVs, focusing on models with optimized weight to reduce fuel consumption. Overall, this study contributes to ongoing efforts to develop more sustainable and fuel-efficient vehicles in the automotive industry.
Optimization of Titanium Recovery from Tin Tailings Using Flotation Route Subandrio, Subandrio; Dahani, Wiwik; Sundari, Rita; Kurniawati, Riskaviana; Marwanza, Irfan; Darren, Franko Sajow
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 6, No 3 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i3.28891

Abstract

Titanium has found widespread application across various industries due to its high corrosion resistance. It is commonly used in dental equipment, surgical instruments, bone implants, and marine components, and serves as an engine material in high-temperature environments. Because of its lighter weight compared to steel, titanium has also replaced stainless steel in many construction materials. In Bangka Island, Indonesia, tin tailings have been identified as a potential source of titanium, making the analysis of titanium in these tailings highly significant. This study employed the froth flotation method, known for its simplicity, speed, and cost-effectiveness, to analyze titanium content from tin tailings. Sodium oleate was used as the frother and collector, while sodium chlorate acted as the depressant. The mass ratios of depressant to collector were varied at fixed collector amounts (1:10, 5:10, 10:10, and 15:10) and fixed depressant amounts (10:3, 10:6, 10:9, and 10:12). The highest titanium concentration (2.03%) was achieved with a mass ratio of 10:12, while the optimal titanium recovery (45.51%) in the concentrate occurred with equal amounts (3.75 g) of depressant and collector, or at a mass ratio of 10:10, at 15 minutes of flotation time and neutral pH. X-ray fluorescence (XRF) and X-ray diffraction (XRD) analyses indicated that the tin tailings primarily contained silicate and zircon minerals, with traces of titanium in the form of rutile, ilmenite, and titanate. These findings contribute valuable insights for future titanium extraction and processing industries.
Enhancing Inventory Accuracy through Stock-Taking in Production Monitoring Systems for Workstations Febriansyah, Muhammad Zulfahmi; Raharno, Sri; Setyawan, Harry Prayoga
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 6, No 3 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i3.29151

Abstract

Industry 4.0 promotes the use of Cyber-Physical Systems (CPS) to improve production efficiency through seamless data exchange between virtual and physical components. However, in manual labor-driven environments, discrepancies between virtual stock data and actual material usage can create challenges for accurate production monitoring. This study focuses on addressing these discrepancies by integrating a stock-taking method into a production monitoring system. The system was implemented in an air conditioning train car assembly workshop, where differences of 2–3% between the predicted virtual stock and real-world quantities were identified. By applying the stock-taking method, virtual data were recalibrated to reflect real-time stock levels more accurately. The system's ability to track material usage and losses allowed for significant improvements in inventory accuracy, with immediate updates provided to the CPS. This approach minimizes human error in manual operations, ensuring that material predictions are more aligned with actual consumption. The results show that the implementation of the stock-taking method reduced the margin of error in stock predictions, improving overall production decision-making. These findings suggest that this method can enhance stock accuracy in manufacturing sectors, particularly in developing countries where manual labor is predominant. This study provides practical implications for optimizing material management and reducing production costs by leveraging CPS integration with stock-taking methods.
Study of Eigenvalues and Matrix Eigenvectors Using MATLAB: Vibration Systems of Multi-Purpose Vehicle (MPV) Octaviani, Ana Nur; Khaerudini, Deni Shidqi; Feriyanto, Dafit; Timuda, Gerald Ensang; Darsono, Nono; Chollacoop, Nuwong
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 6, No 3 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i3.25351

Abstract

Vehicle vibration is a critical factor influencing both passenger comfort and vehicle performance. In this study, we analyze the multi-degree-of-freedom (MDOF) vibrational behavior of a multi-purpose vehicle (MPV) using matrix eigenvalue and eigenvector methods. The vehicle’s dynamics are modeled by developing a set of equations of motion that account for the forces acting on the front and rear tires, car body, and pitch angle. MATLAB is utilized to numerically compute the system’s eigenvalues and eigenvectors, representing the natural frequencies and vibration modes of the vehicle, respectively. The analysis focuses on the vehicle’s response to a 50 mm displacement at the front tire, simulating the effect of road disturbances. The resulting vibrations in the front and rear tires, car body, and vehicle pitch are illustrated over a 1-second time frame. The findings show that the front tire experiences the largest oscillation amplitude of ±1 mm, while the rear tire exhibits a much smaller displacement of ±0.04 mm. The overall car body displacement reaches a maximum amplitude of ±1.3 mm, indicating partial damping of the front tire vibrations. However, the results reveal that the vehicle’s suspension system lacks effective damping, as the vibrations do not decrease over time. This behavior could negatively impact ride comfort and safety, particularly on uneven roads. The study concludes that improvements to the vehicle’s suspension system are necessary to enhance damping performance. The presented MATLAB-based approach offers a valuable tool for analyzing and optimizing vehicle vibration systems.
Effect of Water Hyacinth Fiber Length and Content on the Torsional Strength of Epoxy Resin Composites Pramana, Putratama Aziz; Fitri, Muhamad; Hamid, Abdul; Romahadi, Dedik
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 6, No 3 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i3.19701

Abstract

This study investigates the influence of water hyacinth fiber length and content on the torsional strength of epoxy resin composites. Utilizing an experimental design, specimens were prepared with varying fiber lengths (10 mm, 20 mm, 25 mm, and 135 mm) and content percentages (4%, 7%, and 10%) and subjected to torsional testing according to ASTM E-143 standards. The primary objective was to determine the optimal fiber configurations that enhance the composite's mechanical properties, particularly its resistance to torsional stress. Results indicated that shorter fiber lengths consistently yielded higher torsional strength, with the 20 mm fibers at a 7% content displaying the highest torque resistance, achieving a maximum of 1.418 Nm and a shear stress of 29.348 MPa. In contrast, longer fibers generally showed diminished performance, likely due to poorer resin penetration and fiber-matrix bonding. Regression analysis was employed to develop predictive models for the torsional behavior based on fiber dimensions and compositions, achieving high accuracy with coefficients of determination (R²) ranging from 0.95 to 1.00, suggesting excellent model fits. These findings underscore the potential of using water hyacinth fibers as effective reinforcement in epoxy composites, particularly at optimal lengths and concentrations. The study contributes to the broader utilization of natural fibers in composites, offering a sustainable alternative to synthetic fibers with beneficial mechanical properties and environmental impacts.
Performance Evaluation of Ammonia Refrigeration Systems in a Texturizing Plant Cholik, Abdul; Ruhyat, Nanang; Novianto, Sentot
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 6, No 3 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i3.27476

Abstract

This study evaluates the performance of an ammonia refrigeration system used as a cooling medium in a texturizing plant. The analysis was conducted over a 10-day period, focusing on key performance indicators such as compressor work, condenser exhaust heat, refrigeration effect, mass flow rate, Coefficient of Performance (COP), and overall system efficiency. The data revealed that the system performed optimally on Day 5, achieving a peak efficiency of 91%, with compressor work at 304.1 kJ/kg and condenser exhaust heat at 1414.6 kJ/kg. In contrast, the lowest efficiency was recorded on Day 3, at 77%. The refrigeration effect reached its highest value of 491.3 kJ/kg on Day 3, highlighting efficient heat absorption despite lower overall system efficiency. On Day 4, the mass flow rate was 0.001049929 kg/s, with an actual COP of 1.39, while the ideal COP peaked on Day 10 at 1.69, reflecting the system’s theoretical maximum efficiency under optimal conditions. The study emphasizes the critical role of the condenser in the system’s performance. Optimizing the condenser’s operation by controlling temperature, pressure, and flow rates, alongside regular maintenance, significantly impacts system efficiency. The findings suggest that careful monitoring of operational parameters, including compressor work and refrigerant flow, can enhance the overall efficiency and reliability of ammonia refrigeration systems in industrial settings. This research provides practical insights into improving the cooling performance, reducing energy consumption, and ensuring consistent production quality in texturizing plants.

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