cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Andi Firdaus Sudarma
Contact Email
andi.firdaus@mercubuana.ac.id
Phone
+6221-5840815
Journal Mail Official
ijimeam@mercubuana.ac.id
Editorial Address
Universitas Mercu Buana Program Studi S2 Teknik Mesin Jl. Meruya Selatan No. 01, Kembangan, Jakarta Barat 11650, Indonesia
Location
Kota adm. jakarta barat,
Dki jakarta
INDONESIA
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 115 Documents
 2   3   4   5   6 
Study of Eigenvalues and Matrix Eigenvectors Using MATLAB: Vibration Systems of Multi-Purpose Vehicle (MPV) Ana Nur Octaviani; Deni Shidqi Khaerudini; Dafit Feriyanto; Gerald Ensang Timuda; Nono Darsono; Nuwong Chollacoop
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.
Mechanical Properties Analysis of Stainless Steel 304 Linear Guide Rail Using Autodesk Inventor and MATLAB Muhammad Azizi; Kurniawan Kurniawan; Deni Shidqi Khaerudini; Gerald Ensang Timuda; Nono Darsono; Nuwong Chollacoop
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 7 No. 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v7i1.25355

Abstract

This study investigates the mechanical properties of a stainless steel 304 linear guide rail using a combination of Autodesk Inventor and MATLAB. The primary objective is to analyze the von Mises stress distribution, displacement, and safety factor of the linear guide rail under varying load conditions, as well as to develop a model representing the relationship between stress and strain. A detailed 3D model of the guide rail was created using Autodesk Inventor, followed by finite element analysis (FEA) to evaluate stress and strain distribution across different sections of the rail. The simulation was conducted to assess the structural response under multiple loading scenarios, ensuring its reliability for real-world applications. Furthermore, a linear regression analysis was performed using MATLAB to establish a predictive model correlating stress and strain, enabling more accurate forecasting of the material's mechanical behavior. The results revealed that the maximum von Mises stress obtained from the simulation was 23.595 MPa, with a corresponding maximum displacement of 0.397 mm. The safety factor analysis confirmed the rail's structural integrity, with a minimum safety factor of 10.595, well above the failure threshold. These findings indicate that the linear guide rail meets the necessary mechanical performance requirements for its intended application.
Heat Distribution Simulation in a Square Aluminum 7075 Plate Using Laplace Equation and MATLAB Sri Pudjiwati; Andi Firdaus Sudarma; Kontan Tarigan; Deni Shidqi Khaerudini; Eldwin Djajadiwinata
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 6 No. 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i2.25356

Abstract

The efficient management of heat transfer from aircraft engines to the wings is vital for maintaining thermal efficiency and structural integrity in modern aircraft design. Excessive heating of the wings, caused by engine-generated heat, can negatively impact aerodynamic performance and safety. This study focuses on analyzing heat distribution in a square aluminum 7075 plate to better understand heat transfer mechanisms. Using the Laplace equation, implemented through MATLAB (2023 Online Version), we aim to simulate and analyze heat distribution on the plate. The numerical method employed in this research involves solving the Laplace equation with Neumann boundary conditions, which represent insulated edges. The Liebmann method is used to iteratively reduce error to less than 1%. Simulations are conducted on an aluminum 7075 plate of dimensions 4x10⁻² m x 4x10⁻² m under various temperature conditions at the edges. Numerical results show that at the 9th iteration, the error reaches 0.71%, while MATLAB simulations yield an error of 0.4681% at the same iteration. The heat distribution across the plate is clearly visualized, and the analysis indicates that increasing the number of grids improves both the clarity and accuracy of the simulation results. In conclusion, this study demonstrates that applying the Laplace equation via MATLAB is an effective approach for analyzing heat distribution in aluminum 7075 plates. The results show that a finer grid resolution enhances accuracy, with a 101-grid system providing particularly clear and precise heat distribution patterns. These findings contribute to the optimization of thermal system designs, especially in aviation-related applications.
Ride Test on Vehicles Travelling Over Speed Bumps: Simulation with CarSim Software Adetia Lenahatu; Mohamad Yamin
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 6 No. 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i2.26135

Abstract

This study explores the effects of different speed bump geometries—flat-topped, sinusoidal, and parabolic—on vehicle dynamics and ride comfort using CarSim simulations. The analysis focuses on key parameters such as vertical forces on the suspension, vertical acceleration, and the wheel surface adhesion index. The results show that flat-topped bumps generate the highest vertical forces, reaching peaks of up to 6,000 N on the front suspension, leading to increased discomfort. Sinusoidal bumps, in contrast, generate smoother transitions, with vertical forces peaking at approximately 3,500 N, improving ride comfort. At vehicle speeds of 30 km/h, the vertical forces on the suspension increase significantly, with flat-topped bumps reducing the wheel surface adhesion index to as low as 0.6, indicating a higher risk of wheel slip and compromised vehicle stability. In contrast, sinusoidal bumps maintain a more favorable adhesion index of 0.85 at similar speeds. These reductions in adhesion elevate the risk of loss of control, especially at higher speeds. The findings suggest that adaptive suspension systems, capable of adjusting damping and stiffness based on the bump geometry and vehicle speed, would enhance ride quality and stability. Additionally, smoother bump designs, such as sinusoidal profiles, are recommended to reduce the impact on vehicle dynamics, particularly in urban environments. These insights contribute to improving both vehicle design and road safety, ensuring safer and more comfortable driving experiences.
Performance Evaluation of a Condenser at a Combined Cycle Power Plant Using the LMTD Method Putut Jaya Swardhamana; Nanang Ruhyat; Sentot Novianto
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 6 No. 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i2.27450

Abstract

This study evaluates the performance of the condenser at the Cilegon Combined Cycle Power Plant (CCPP) using the Logarithmic Mean Temperature Difference (LMTD) method to measure the heat transfer rate. Routine maintenance carried out on the condenser in the form of cleaning the condenser water box and condenser tube from garbage and crust on the condenser tube wall. Currently, condenser maintenance follows a routine schedule that is tied to steam turbine maintenance, without taking actual condenser performance into account. This can lead to inefficiencies and unnecessary downtime. The goal of this research is to assess the heat transfer rate of the condenser before and after maintenance to judge its effectiveness. Data on temperature changes were gathered in June 2023, before maintenance, and again in July 2023, after an overhaul. The analysis shows that the heat transfer rate increased from 51,362,294.48 kcal/h to 127,246,219.7 kcal/h, while the LMTD value rose from 0.76°C to 1.86°C. Based on these results, the study suggests a new approach to maintenance that focuses on performance. Specifically, maintenance should be done when the heat transfer rate drops below 110,000,000 kcal/h. This approach will help ensure the condenser works at its best, improve the plant's overall efficiency, and prevent the need for unnecessary maintenance. By aligning maintenance with performance data, the plant can boost output while lowering costs and downtime.
Performance Evaluation of Ammonia Refrigeration Systems in a Texturizing Plant Abdul Cholik; Nanang Ruhyat; Sentot Novianto
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.
Design and Analysis of a Vertical Axis Ocean Current Turbine Tunnel Using SolidWorks Computational Fluid Dynamics Hardi Gunawan; Nanang Ruhyat; Sentot Novianto
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 6 No. 1 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i1.27652

Abstract

The development of renewable energy in the marine power generation sector presents a promising approach to producing electrical energy in a sustainable and environmentally friendly manner. Indonesia, with its vast oceanic territory, holds significant potential for harnessing marine energy. However, the relatively slow speed of ocean currents in the region, typically ranging from 0.1 m/s to 1.5 m/s, poses a challenge to the efficiency of marine power generation. To overcome this limitation, this research focuses on the design and analysis of a vertical-axis ocean current turbine tunnel aimed at increasing the speed of ocean currents, thereby enhancing the overall efficiency of energy production. The study combines a thorough literature review with experimental research methods, utilizing SolidWorks Computational Fluid Dynamics (CFD) software to simulate the tunnel's impact on ocean current velocity. The simulations reveal that the tunnel construction significantly boosts current speeds, increasing them from 1.0 m/s to 1.7 m/s, and from 1.5 m/s to 2.6 m/s. This increase in velocity directly translates to higher kinetic energy available for conversion into electrical power by the turbine. Moreover, the study shows that the tunnel construction contributes to a more uniform flow of ocean currents, as evidenced by the Reynolds numbers obtained—100.250 at a current speed of 1.0 m/s and 150.375 at 1.5 m/s. These values, being below 2000, indicate laminar flow conditions within the tunnel, which are beneficial for optimizing turbine performance by reducing turbulence and ensuring a stable energy output. The findings underscore the effectiveness of the tunnel design in improving the efficiency of vertical-axis ocean current turbines, making it a viable solution for enhancing renewable energy production in regions with low ocean current speeds.
Statistical Approach in Analyzing Fuel Efficiency of Diesel SUVs in Indonesia Using MATLAB Canda Lesmana Ginting; Asaeli Tongoni Lase; Farrah Anis Fazliatul Adnan; Jong Soo Rhee; Dianta Ginting
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 7 No. 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v7i1.28136

Abstract

The scarcity of fossil fuels and the rising environmental concerns make improving fuel efficiency in the automotive sector a critical focus. Diesel Sport Utility Vehicles (SUVs) in Indonesia, known for their high fuel consumption, significantly contribute to these challenges. This research ad-dresses the problem by investigating the factors influencing fuel efficiency in diesel SUVs availa-ble in the 2024 Indonesian market. The primary objective is to analyze the impact of engine torque, vehicle weight, and engine capacity on fuel consumption. To achieve this, we employed MATLAB as a tool for statistical analysis, using specific algorithms such as linear regression, box plot, and correlation methods to model and evaluate the data. The study found that vehicle weight and engine capacity show a strong positive correlation with fuel consumption, indicating that larger engines and heavier vehicles consume more fuel. In contrast, engine torque was found to have a weaker correlation, suggesting that factors like aerodynamics and transmission efficiency may play a more significant role. These results provide valuable insights for manufacturers in de-signing more fuel-efficient SUVs and for consumers making informed purchasing decisions. Ulti-mately, this research contributes to the development of more sustainable transportation solu-tions by highlighting the importance of optimizing vehicle design and engine specifications to re-duce fuel consumption in the near term.
Statistical Analysis Engine Capacity, Weight, and Torque on MPV Fuel Consumption Using Regression and Correlation Algorithms Hafidz Salafuddin; Nanang K Pradipta; Farrah Anis Fazliatul Adnan; Jong Soo Rhee; Dianta Ginting
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.
Heat Mapping and Plastic Strain Radius Modeling of Dual-Tool Friction Stir Welds 6061 Aluminum Alloy Plate Using FEM Rikko Putra Youlia; Diah Utami; Dedik Romahadi; Tang Yishuang
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 6 No. 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i2.28235

Abstract

This study investigates the effects of Dual-Tool Friction Stir Welding (DT-FSW) parameters on the weld quality of 8 mm thick 6061 aluminum alloy plates, specifically focusing on the elimination or minimization of the "pass-overlap zone" that’s a gap typically observed at the mid-section of the weld cross-section resembling characteristics of the Heat-Affected Zone (HAZ). To address ongoing debates regarding the optimal joint performance concerning this overlap, symmetric increases in the dimensions of both FSW tools were implemented to analyze resultant temperature fields and plastic strain adaptations at the weld interfaces. Simulation visualizations were conducted with tool density variations at intervals of 0.2 mm and 0.4 mm. Results indicate that increasing tool density, thereby reducing the distance between tool surfaces, leads to a decrease in peak temperatures generated during welding. This reduction in temperature correlates with a more uniform distribution of plastic strain rates across all layers of the material—upper, middle, and lower—with the leading edge exhibiting the most significant improvement in strain uniformity. Conversely, during the stabilization phase, a decrease in tool density (S) results in a reduction of the maximum equivalent plastic strain rate. These findings suggest that careful adjustment of tool density in DT-FSW processes can enhance weld quality by promoting more uniform mechanical and thermal properties across the joint.

Page 4 of 12 | Total Record : 115

 2   3   4   5   6 

Filter by Year

2015 2026


Reset
Filter By Issues
All Issue Vol. 8 No. 2 (2026) Vol. 8 No. 1 (2026) Vol. 7 No. 3 (2025) Vol. 7 No. 2 (2025) Vol. 7 No. 1 (2025) Vol. 6 No. 3 (2024) Vol. 6 No. 2 (2024) Vol. 6 No. 1 (2024) Vol. 5 No. 3 (2023) Vol. 5 No. 2 (2023) Vol. 5 No. 1 (2023) Vol. 4 No. 3 (2022) Vol. 4 No. 2 (2022) Vol. 4 No. 1 (2022) Vol. 3 No. 3 (2021) Vol. 3 No. 2 (2021) Vol. 3 No. 1 (2021) Vol. 2 No. 1 (2016) Vol. 1 No. 1 (2015) More Issue