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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)
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.
Two-stage Anaerobic Reactor Design of SS 316 Material with Application of Penetrant Test Method (NDT) Gea, Markus; Khaerudini, Deni Shidqi
Jurnal Teknik Mesin (Journal Of Mechanical Engineering) Vol 13, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jtm.v13i2.27069

Abstract

Abstract-- Anaerobic reactors are essential in processing organic waste, biomass, and wastewater into desired end products through a dark fermentation process. This process involves bacteria decomposing organic matter without light or oxygen, producing hydrogen gas, and other by-products. In this study, the design, manufacture, and testing of a two-stage anaerobic reactor of stainless steel 316 material were carried out carefully, considering dimensions, and material specifications. The device design process involved design simulation using SolidWorks, while the manufacturing stage involved material preparation, component forming, welding, and device installation. Testing was conducted using Nondestructive testing (NDT) methods to detect surface defects, and ensure the structural integrity of the reactor. This study provides an in-depth overview of the manufacturing process of a two-stage anaerobic reactor, including material preparation, welding, and NDT testing, hoping to contribute to developing more effective, and sustainable organic waste treatment technologies.
STUDY OF FINITE DIFFERENCE METHOD IN HEAT FLOW SIMULATION OF TWO-CHAMBER THERMOS SEPARATOR MADE OF POLYPROPYLENE USING MATLAB APPLICATIONS Pandriana, Aap; Pudjiwati, Sri; Alva, Sagir; Tarigan, Kontan; Sudarma, Andi Firdaus; Khaerudini, Deni Shidqi
Jurnal Teknik Mesin (Journal Of Mechanical Engineering) Vol 13, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jtm.v13i2.27803

Abstract

Heat transfer can be defined as transfer of energy from one area to another as a result of temperature differences in objects. This indicates heat transfer not only explains how heat energy is transferred from one object to another, but can also predict the rate of heat transfer that occurs under certain conditions. In this case, what is related to the heat flow model equation is two-chamber thermos separator where the separator is made of polypropylene. This separator functions to prevent the flow of heat from one side to the other side of the thermos tube. Polypropylene is included in the insulator category, although heat transfer still occurs. The heat transfer will be calculated using the finite difference method in parabolic partial differential equations using the Matlab application. The heat transfer process is assumed to occur by conduction, with a separator length of 1 cm. Assume the first side of the divider has a right temperature of 100°c, and the other side 20°c. The temperature point measured on the separator is located in the center of the separator. After completing the solution using the Matlab application with the finite difference method, a heat transfer flow simulation was obtained in the two-chamber thermos separator which shows the heat flow transfer at any time. At 0.1 seconds the temperature at T1 is 2.4°c, while at 10 seconds  is 65.9704°c. Then at 0.1 seconds the temperature at T4 is 0.48°c, while at 10 seconds 19.5436°c. The conclusion is in the separator of the two-chamber thermos there is significant heat flow from the side of the first tube to the other side.
STUDY OF THE NEWTON RAPHSON METHOD IN ANALYZING THE DEPTH OF FLUID FLOW IN THE WASTEWATER CANAL U RPS TKRO SMKN 1 CIRUAS USING THE MATLAB APPLICATION Susilo, R Dwi Pudji; Tarigan, Kontan; Sudarma, Andi Firdaus; Oktaviani, Ana Nur; Khaerudini, Deni Shidqi; Fitri, Muhamad
Jurnal Teknik Mesin (Journal Of Mechanical Engineering) Vol 13, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jtm.v13i2.27624

Abstract

Abstract--Flow Depth can be defined as channel height or open channel flow depth, is an important parameter in hydraulic calculations and analysis. The depth of flow in the U channel (U channel) of the Student Practice Room (RPS) for Automotive Light Vehicle Engineering (TKRO) at SMKN 1 Ciruas often causes delayed flow congestion and full channels. Sometimes it is dry if only a few students carry out practical use of room practice and use of water and other waste. The aim of this research is to find a solution to this problem, namely by knowing the depth of flow in the channel so that in the future when designing waste water drainage channels it can be designed appropriately and in accordance with the volume of waste released. The method is to calculate the flow depth in the U channel using NEWTON RAPHSON numerical analysis and the Matlab application to determine the flow depth. The calculation result is the depth of water flow in channel U, with water flow discharge Q = 0.016 m3/s, Manning coefficient for roughness of channel walls and base n = 0.025, slope of channel bottom I = 0.003, and width of channel U B = 0.22 m, at The 11th and 12th iterations flow depth = 0.194864 m. The results of manual exact calculations in the 11th and 12th iterations, the error percentage is 0%, meaning that the flow depth is uniform at a water level of 0.194864 m. Calculations using the Matlab application obtained graphs and the iteration steps were slightly different in the 12th and 13th iterations, the flow depth results were the same = 0.194864 m. The initial guess at flow depth(h)=1, the percentage error is 25%, the uniform flow depth of the RPS TKRO SMKN 1 Ciruas U channel is 0.194864 m.Keywords : Depth of flow, NEWTON RAPHSON, Open Channel, U Channel, MATLAB
The Calcination Temperature Effect on Crystal Structure of LiNi1/3Mn1/3Co1/3O2 Cathode Material for Lithium-Ion Batteries Rahayu, Sri; Saudi, Aghni Ulma; Tasomara, Riesma; Gumelar, Muhammad Dikdik; Utami, Wahyu Tri; Hapsari, Ade Utami; Raharjo, Jarot; Rifai, Abdulloh; Khaerudini, Deni Shidqi; Husin, Saddam; Saputra, Dita Adi; Yuliani, Hanif; Andrameda, Yurian Ariandi; Taqwatomo, Galih; Arjasa, Oka Pradipta; Damisih, Damisih; Hardiansyah, Andri; Pravitasari, Retna Deca; Agustanhakri, Agustanhakri; Budiman, Abdul Hamid
Journal of Batteries for Renewable Energy and Electric Vehicles Vol. 1 No. 02 (2023): NOVEMBER 2023
Publisher : NBRI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59046/jbrev.v1i02.22

Abstract

The lithium-ion battery has gained popularity among other secondary batteries for portable electronic devices and electric vehicle applications, especially the LiNi1/3Co1/3Mn1/3O2 or NMC111, considering its well-balanced configuration resulting in stable and safe electrochemical performance. NMC111 has been successfully prepared using a coprecipitation process at calcination temperatures from 800 to 950°C. The physical characteristics were investigated using X-Ray Diffraction (XRD), Scanning Electron Microscopy-Energy Dispersive Spectroscopy (SEM-EDS), and Particle Size Analysis (PSA). The XRD patterns showed the rhombohedral single phase for all calcination temperatures. Meanwhile, higher calcination temperatures offer higher degree of crystallinity, lower intensity ratio and more undesirable cation mixing. The particles with a uniform rectangle or pyramid shape are observed at the calcination temperature range from 800 to 900°C. However, bigger submicron particles with a rectangle or pyramid shape are detected at a higher temperature (950°C). The SEM-EDS mapping shows the homogeneity composition for all variation calcination temperatures. PSA analysis showed that calcination temperature at 800 and 850°C gives the particle less than 400 nm suggesting a potential material for a cathode of lithium-ion batteries.
OPTIMIZATION OF MACHINING PARAMETERS ON THE SURFACE ROUGHNESS OF ALUMINUM IN CNC TURNING PROCESS USING TAGUCHI METHOD Putra, Yunata Mandala; Timuda, Gerald Ensang; Darsono, Nono; Chollacoop, Nuwong; Khaerudini, Deni Shidqi
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) 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.
Development of Solid State Reference Electrode Based on Polypyrrole (PPy) and Screen Printed Electrode (SPE) Alva, Sagir; Asadullah, Masud; Friliandita, Vivi; Khaerudini, Deni Shidqi
Journal of Carbazon Vol 1, No 2 (2023): December 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jocarbazon.v2i1.36417

Abstract

In this study, a Polypyrrole doped KCl/KCl saturated (PPy-Cl/KCl) reference electrode had been successfully developed. In this development process, the PPy-Cl/KCl reference electrode that had been provided consisted of two stages of refinement, specifically the PPy-Cl/KCl 1 reference electrode which became the PPy-Cl/KCl 2 reference electrode. Furthermore, the PPy-Cl/KCl 2 SRE was made into 3 types with cycle variations of 10, 15, and 20 cycles and the mV response value test and Scanning Electron Microscopy (SEM) test were carried out. Regarding the variation results, PPy-Cl/KCl 2 SRE was obtained with 15 cycles as the best PPy-Cl/KCl 2 reference electrode with mV value of 3.43 mV. Subsequently, the PPy-Cl/KCl 2 SRE with 15 cycles was involved in the characterization test using cyclic voltammetry (CV) testing, response testing vs Cl sensors and drift testing. In the CV testing, the PPy-Cl/KCl 2 SRE with 15 cycles indicated a voltammogram graphic pattern similar to the Ag/AgCl reference electrode as a commercial reference electrode. Moreover, in the response testing vs the Cl sensor, the PPy-Cl/KCl 2 SRE with 15 cycles provided a Nernstian number value of -54.5 mV/s with a testing range of 0.1-104 M, and in the PPy-Cl/SRE drift testing, KCl 2 with 15 cycles indicated fairly good stability, particularly with a drift value of 1 mV/minute which was achieved after the conditioning process after 3.5 minutes.
A Bibliometric Analysis of Carbon Dots in Sensors Application Putro, Permono Adi; Hardhienata, Hendradi; Isnaeni, Isnaeni; Ahmad, Faozan; Khaerudini, Deni Shidqi; Prasetyo, Andhika Prima; Maddu, Akhiruddin
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 12 No. 2 (2022)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v12n2.p138-155

Abstract

The exponential increase in carbonaceous-based research has prompted the scientific community to apply it to numerous value-added applications. This paper aimed to systematically analyze the comprehensive contributions clusters of publications per year, country, institution, authors, and keywords-wise by using a quantitative review technique called bibliometric analysis. The data was retrieved from the Scopus database to identify the overall scientific trend results with the keyword "carbon dots as a sensor" from 2010 to 2020. The VOSviewer, WordItOut, and Datawrapper are selected as tools for bibliometric analysis and data visualization. In this work, the total citations from the Scopus Core Set and the total citations in the most recent year have only been used for the assessment of highly cited papers. The results showed that after 2014, the number of publications increased significantly with the work related to “carbon dots as sensors.” Thus, comprehensive journals like the Angewandte Chemie - International Edition were the most popular in publishing articles, contributing to almost 6.39% of the research area. The country-wise analysis revealed that China accounted for more than 67.18% of the articles published, followed by the United States and India, comprising 6.24% and 6.13%, respectively. Lastly, keyword cluster analysis revealed five major research hotspots for future discussion. Thus, this analysis provides an important starting point for further studies on research concerning the direction of "carbon dots as a sensor" for positive development in the research area.
Co-Authors Abdul Hamid Budiman Abu Bakar, Afarulrazi Ade Utami Hapsari Adhista Fania Adnan, Farrah Anis Fazliatun Afarulrazi Abu Bakar Aghni Ulma Saudi Agustanhakri, Agustanhakri Ahmad, Faozan Aiman Sajidah Abd Aziz Akhiruddin Maddu Andhika Prima Prasetyo Andi Firdaus Sudarma Andrameda, Yurian Ariandi Anggito Pringgo Tetuko Annisa Azzahra Arif Hidayat Arif Tjahjono Arif Tjahjono Arif Tjahjono Asadullah, Masud Azizi, M 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 Dianta Ginting Djajadiwinata, Eldwin Dwi Pudjisusilo, Raden Edy Herianto Majlan F. Adany Fajar Arif Kurniawan Fira Rizky Firdaus, Andi Fitri Suryani Arsyad Fredina Destyorini Friliandita, Vivi Gea, Markus Gerald Ensang Timuda Gumelar, Muhammad Dikdik Hanif Yuliani Hapsari, Ade Utami Hardhienata, Hendradi Hardi Gunawan Hardiansyah, Andri Henry Widodo Husin, Saddam 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 Muhamad Fitri Muljadi Muljadi Muljadi Muljadi Nada Hashida Lathifah Nafisah, Sayyidatun Nanik Indayaningsih Nisya Ulmiah Nofrijon Sofyan, Nofrijon Nono Darsono Nono Darsono, Nono Octaviani, Ana Nur Oka Pradipta Arjasa Oka Pradipta Arjasa Oktaviani, Ana Nur Pandriana, Aap Perdamean Sebayang Permono Adi Putro Pratama, Wisnu Pravitasari, Retna Deca Pudjiwati, Sri Putra, Yunata Mandala Retna Deca Pravitasari Retno Agnestisia Riandy Putra Rifai, Abdulloh Rike Yudianti Robi Suherman Sabilly Handi Pradana Safaat, Mukhtar Sagir Alva Sanusi, Yasa Saptari, Sitti Ahmiatri Saputra, Dita Adi Saudi, Aghni Ulma Simanjutak, Elfrida Roulina Simarmata, Sari Namarito Sinaga, Tiara Cristy Sinaga, Tiara Cristy Agatha Slamet Priyono SRI RAHAYU Susilo, R Dwi Pudji Taqwatomo, Galih Tarigan, Kontan Tasomara, Riesma Teguh Imam Prasetya Tommy Martin Syauta Triyanto Pangaribowo Vivi Friliandita Wahyu Mulyo Utomo Wahyu Mulyo Utomo Wahyu Tri Utami Wahyudi, Dani Tri Widodo, Aditya Putra Widodo, Henry Wulandari, Ika Octavia Yuliani, Hanif Yuyun Irmawati Yuyun Irmawati