Claim Missing Document
Check
Articles

Found 9 Documents
Search
Journal : International Journal of Innovation in Mechanical Engineering and Advanced Materials

EVALUATION ENERGY SAVINGS AT MALUKU PROVINCE OFFICE BUILDING IN JAKARTA Tommy Martin Syauta; Deni Shidqi Khaerudini
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 4, No 1 (2022)
Publisher : Universitas Mercu Buana, Prodi S2 Teknik Mesin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (281.251 KB) | DOI: 10.22441/ijimeam.v4i1.14491

Abstract

The electricity is very important to support activities in office building .The equipment like AC ( Air conditioning ) needs more electricity to be operated. The is almost 60%  is use to support this system (AC). This percentage describe that air condition system is an equipment that needs more electricity in the office and its become inefficiency in using electricity. To take overcome for this problem we need to efficiency in using energy. One of the method that now used to efficient that energy is called “ energy conversation” This method is using to saving the energy There is one thing that must be done in this activity which is “ energy audit “. Audit energy is one of method calculate IKE (  Intension Consumption  Energy) at on the building.The first preliminary audit shown that more energy, which 60% is use to operated the air conditioning (AC) system and 30% to operate lighting system. IKE for the lighting system is still below from maximum standard  which is 15 watt/m²The opportunity of saving energy on audit energy in AC system is done by cleaning up consist of : cleaning up filter, propeller corner fin of the evaporator, and the grill of in door unit.
CFD SIMULATION FOR AIRSPEED AND TURBULENCE VALIDATION IN MAIN DUCTING OF OFFICE BUILDING Sabilly Handi Pradana; Deni Shidqi Khaerudini
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 4, No 1 (2022)
Publisher : Universitas Mercu Buana, Prodi S2 Teknik Mesin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (493.185 KB) | DOI: 10.22441/ijimeam.v4i1.12050

Abstract

This paper focuses on the calculation of sizing ducting based on cooling load requirements the main ducting of office building following regulation airspeed requirements using American Society of Heating, Refrigerating and Air Conditioning Engineers (ASHRAE) and Computational Fluid Dynamics (CFD) simulations. The purpose of this research is to validate the airspeed and turbulence that occurs in the main ducting between manual calculations and CFD simulations. From the calculation, the cooling load requirement is 58.22 kW, for the cooling process an air flowrate of 7117 L/s is needed which is designed to pass through the main ducting in rectangular shape. The main ducting size uses 1200 mm x 500 mm at a speed of 12.7 m/s according to ASHRAE. Autodesk Inventor software is used for ducting modeling and Autodesk CFD is used for airflow simulation. CFD simulations are performed by applying boundary conditions and input parameters. The results showed that the velocity of the ducting design was suitable at 12.7 m/s with laminar flow. The ducting geometry must be designed aerodynamically to reduce the pressure drop which can cause the speed to increase so that it is outside the required limits. Thus, the CFD simulation results have verified the validity of manual calculations.
FLOW FIELD PLATE DESIGN ANALYSIS WITH CROSS-SECTION WAVE RECTANGULAR SERPENTINE USING 3D FLOW SIMULATION ON PROTON EXCHANGE MEMBRANE FUEL CELL Teguh Imam Prasetya; Deni Shidqi Khaerudini
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 3, No 2 (2021)
Publisher : Universitas Mercu Buana, Prodi S2 Teknik Mesin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (550.178 KB) | DOI: 10.22441/ijimeam.v3i2.11623

Abstract

The availability of petroleum which continues to decrease and the level of public consumption which is always increasing are serious problems today. Renewable energy needs to be researched on an ongoing basis to anticipate the availability problems above. Proton Exchange Membrane Fuel Cell (PEMFC) is an environmentally friendly source of electrical energy because it only requires hydrogen and oxygen as raw materials and water as a result of the reaction. This study will discuss the PEMFC flow field plate because this component dominates the weight and cost of manufacture. Research on flow field plate PEMFC with wave rectangular cross-section is necessary to develop the PEMFC concept with better performance results. This study aims to determine the effect of the wavy cross-section shape on the distribution of channel average speed, channel outlet speed, inlet pressure, channel average pressure, and channel outlet pressure. This study uses a computational fluid dynamic (CFD) method using SolidWorks flow simulation software. This study provides an overview of the serpentine type of flow field plate with a wave rectangular and rectangular cross-section. The wave rectangular cross-section has a higher average velocity, outlet velocity, inlet pressure, and pressure than the rectangular cross-section. This is what will make PEMFC performance higher. The wave rectangular cross-section has nearly the same number of outlet pressures as the rectangular cross-section. Possible development of this research is the creation of simulation software to calculate other parameters that affect PEMFC performance.
CHARACTERIZATION OF IRON PRODUCTION FROM MILLS CALE BY CARBOTHERMIC REDUCTION Lukman Faris Nurdiyansah; Nono Darsono; Deni Shidqi Khaerudini
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 3, No 1 (2021)
Publisher : Universitas Mercu Buana, Prodi S2 Teknik Mesin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (809.803 KB) | DOI: 10.22441/ijimeam.v3i1.11575

Abstract

Millscale is a large by product of metal factory. Many methods to recycled it to many applications. The aim of this research is recycled millscale to produce the iron by reduction method with graphite as reductant agent. The reduction process was deed by milled millscale and graphite powder with 4:1 weight ratio was by used High Energy Milling with 4, 6, 12 hours milling time variations. The powder then was characterized by X-Ray Diffraction (XRD), Vibrating Sample Magnetometer (VSM) and SEM-EDS test. The XRD test result is Fe3C as a main phase then carbon, magnetite, wustite and Iron as a minor phase. The percentage of iron composition is increase during milling times amount to 6; 10.9; 13 %. The remanence for the 4, 6, and 12 hours of milling time variation, is 2.89, 3.39, and 4.98 emu/g, for the coercivity (Hc) is 209.58, 188.47, and 223.65 Oe and the magnetic saturation number is 22.59, 30.7, 39.15 emu/g, from Hc value it is concluded that the powder has superparamagnetic behavior.  From SEM-EDS is knowed that the distribution of Fe is more uniform on the surface samples with the increase of milling time.
OPTIMIZATION OF MACHINING PARAMETERS ON THE SURFACE ROUGHNESS OF ALUMINUM IN CNC TURNING PROCESS USING TAGUCHI METHOD Yunata Mandala Putra; Gerald Ensang Timuda; Nono Darsono; Nuwong Chollacoop; Deni Shidqi Khaerudini
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 5, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v5i2.21679

Abstract

In this research, Taguchi method is employed by focusing on spindle speed, feed rate, and depth of cut to optimize the CNC turning parameters for aluminum alloy 6063. The main goal of this study is to improve the surface roughness of the material. A L9 orthogonal array is used for experimentation, and the results are subsequently analyzed using ANOVA (Analysis of Variance). A spindle speed of 1300 rpm, a feed rate of 0.5 m/min, and a depth of cut of 1.5 mm are the optimal conditions to achieve the minimum average surface roughness (Ra). The main effect plot of the signal-to-noise (S/N) ratio provides significant evidence supporting the primary research goal. Furthermore, the ANOVA table reveals that spindle speed contributes 59.71%, feed rate contributes 29.80%, while depth of cut only contributes minimally at 0.72%. Based on the research findings, spindle speed and feed rate can be adjusted to control surface roughness. Both factors are highly significant in influencing the surface roughness of the material. The prediction equation from the linear regression analysis is Ra = 1.745 – 0.001024 spindle speed + 0.3000 feed rate – 0.0233 depth of cut. A coefficient of determination or R-squared value of 0.9115 indicates that the independent variables can explain 91.15% of the variation in the dependent variable. The experimental and predicted surface roughness (Ra) values have a predicted error percentage of 2.26%.
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 Azizi, Muhammad; Kurniawan, Kurniawan; Khaerudini, Deni Shidqi; Timuda, Gerald Ensang; Darsono, Nono; Chollacoop, Nuwong
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 Pudjiwati, Sri; Sudarma, Andi Firdaus; Tarigan, Kontan; Khaerudini, Deni Shidqi; Djajadiwinata, Eldwin
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.
Correlation Analysis of Battery Capacity, Range, and Charging Time in Electric Vehicles Using Pearson Correlation and MATLAB Regression Sanusi, Yasa; Pudjiwati, Sri; Tarigan, Kontan; Ginting, Dianta; Adnan, Farrah Anis Fazliatun; Timuda, Gerald Ensang; Darsono, Nono; Chollacoop, Nuwong; Khaerudini, Deni Shidqi
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 7, No 3 (2025): Article in Press
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v7i3.31800

Abstract

The increasing adoption of electric vehicles (EVs) reflects growing global awareness of climate change and air pollution challenges. As a sustainable alternative to conventional internal combustion vehicles, EVs produce zero tailpipe emissions and can significantly reduce carbon emissions—particularly when powered by renewable energy sources. However, one of the primary barriers to widespread EV adoption remains the high cost of battery components, which are essential to vehicle performance and energy storage. In Indonesia, two dominant battery types used in EVs are Lithium Ferro Phosphate (LFP) and Nickel Manganese Cobalt (NMC), each offering distinct advantages. LFP batteries are recognized for their thermal stability and longer life cycles, making them suitable for everyday use, while NMC batteries offer higher energy density and are preferred for performance-focused and long-distance applications. This study aims to evaluate the correlation between battery capacity, driving range, and charging time for LFP and NMC batteries using Pearson correlation and regression analysis through MATLAB simulation. The results indicate a strong and statistically significant correlation among the key parameters, with a Pearson coefficient of 0.576 for battery capacity and range, and an R-square value of 0.99 for the regression model, demonstrating high predictive accuracy. Furthermore, the analysis reveals that LFP batteries have a higher average energy efficiency of 7.53 km/kWh compared to 6.84 km/kWh for NMC batteries, indicating more consistent performance in energy usage. These findings offer valuable insights for optimizing battery selection in EV applications and contribute to strategic planning for the development of more efficient electric vehicle systems. The combination of statistical and simulation-based analysis provides a robust foundation for future research and policy-making in the field of electric mobility.
Co-Authors Abdul Hamid Budiman Abdul Hamid Budiman Abdulloh Rifai Abu Bakar, Afarulrazi Ade Utami Hapsari Ade Utami Hapsari Adnan, Farrah Anis Fazliatun Afarulrazi Abu Bakar Aghni Ulma Saudi Aghni Ulma Saudi Agustanhakri Agustanhakri Aiman Sajidah Abd Aziz Akhiruddin Maddu Ana Nur Octaviani Andhika Prima Prasetyo Andi Firdaus Sudarma Andri Hardiansyah Anggito Pringgo Tetuko Annisa Azzahra Arif Tjahjono Arif Tjahjono Arif Tjahjono Azizi, Muhammad Bambang Mulyanto Bambang Mulyanto Chollacoop, Nuwong Dafit Feriyanto Damisih Damisih Damisih Damisih Damsyik, Akhmad Dani Tri Wahyudi Dani Tri Wahyudi Desi Fajarwati Destyorini, Fredina Dita Adi Saputra Djajadiwinata, Eldwin Dwi Pudjisusilo, Raden Edy Herianto Majlan F. Adany Fajar Arif Kurniawan Fania, Adhista Faozan Ahmad Fira Rizky Fitri Suryani Arsyad Fredina Destyorini Galih Taqwatomo Gea, Markus Gerald Ensang Timuda Gerald Ensang Timuda Ginting, Dianta H. Hardhienata Hanif Yuliani Hanif Yuliani Henry Widodo Ilham Nur Dimas Yahya Indayaningsih, Nanik Indri Susanti Indriyati Indriyati Iqbal, Rendy Muhamad Irmawati, Yuyun Isnaeni Isnaeni Jarot Raharjo Jarot Raharjo Kurniawan Kurniawan Lukman Faris Nurdiyansah Marcelinus Christwardana Mardiyati, Mardiyati Masno Ginting Mas’ud Asadullah Muhamad Fitri Muhammad Dikdik Gumelar Muljadi Muljadi Muljadi Muljadi Nada Hashida Lathifah Nanik Indayaningsih Nisya Ulmiah Nofrijon Sofyan, Nofrijon Nono Darsono Nono Darsono Nono Darsono, Nono Nuwong Chollacoop Oka Pradipta Arjasa Oka Pradipta Arjasa Oktaviani, Ana Nur Pandriana, Aap Perdamean Sebayang Permono Adi Putro Pratama, Wisnu Pudjiwati, Sri Retna Deca Pravitasari Retna Deca Pravitasari Retno Agnestisia Riandy Putra Riesma Tasomara Rike Yudianti Robi Suherman Sabilly Handi Pradana Saddam Husin Safaat, Mukhtar Sagir Alva Sanusi, Yasa Saptari, Sitti Ahmiatri Simanjutak, Elfrida Roulina Simarmata, Sari Namarito Sinaga, Tiara Cristy Sinaga, Tiara Cristy Agatha Slamet Priyono Sri Rahayu Sudarma, Andi Firdaus Susilo, R Dwi Pudji Tarigan, Kontan Teguh Imam Prasetya Tommy Martin Syauta Triyanto Pangaribowo Vivi Friliandita Vivi Friliandita Wahyu Mulyo Utomo Wahyu Mulyo Utomo Wahyu Tri Utami Wahyudi, Dani Tri Widodo, Aditya Putra Widodo, Henry Wulandari, Ika Octavia Yunata Mandala Putra Yurian Ariandi Andrameda Yuyun Irmawati Yuyun Irmawati