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All Journal Journal of Mechanical Engineering Science and Technology Buletin Ilmiah Sarjana Teknik Elektro Jurnal Pengabdian, Pendidikan dan Teknologi Mechanical Engineering for Society and Industry Journal of Mechanical Engineering, Science, and Innovation
Ahmad Atif Fikri
Universitas Negeri Malang
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation Other

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Factors Affecting the Surface Roughness in Sinking EDM Process Ahmad Atif Fikri; Maftuchin Romlie; Aminnudin Aminnudin
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 1, No 1 (2017)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (301.184 KB) | DOI: 10.17977/um016v1i12017p009

Abstract

The purpose of this study is to gain insights into the surface quality (smoothness) of sinking EDM machining products. Among other non- conventional machining processes, Electrical Discharge Machining (EDM) is the most commonly used process. EDM is a machining process that uses electric sparks created between a workpiece and a tool (electrode). As a manufacturing process, EDM is used for workpieces which have intricate contours and precise dimensions, and works by using electric discharges (sparks) applied in a rapid series of repetitive electrical discharges between the two electrodes, separated by a dielectric fluid, and subject to an electric voltage. Since the tool tends to wear easily and the mould material is very hard and tough, it is necessary to keep within appropriate EDM machining parameters, so that the smoothness of the mould lives up to expectations. Therefore, the parameters of sinking EDM process should be well established to produce the expected results, i.e. the smoothest surface quality and the maximum removal rate. Regarding the electrode materials used, conducting a further experiment is required to achieve the appropriate settings of pulse current, on-time, off-time, servo voltage, and gap width. This experimental study involved several factors: (a) electrode material, (b) magnitude of current, (c) on-time, and (d) quality of surface (smoothness). In this study, the gap between the electrode and the workpiece was controlled at a distance of 40 μm, and with an off-time of 5 seconds, the same dielectric fluid, the same flow speed and the same dielectric immersion, and using the workpiece (AISI P20M steel). Quantitative approaches (t test, one-way, and ANOVA) were applied to analyse the results of comparison test and to determine the best parameter in sinking EDM process.
PELATIHAN APLIKASI AVOGADRO UNTUK MENINGKATKAN PEHAMAMAN DAN MINAT SISWA DALAM BIDANG KIMIA DI SMAN 10 MALANG Ahmad Atif Fikri
Jurnal Pengabdian Pendidikan dan Teknologi (JP2T) Vol 2, No 2 (2021)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um080v2i22021p95-100

Abstract

Pelatihan aplikasi Avogadro dalam bentuk pengabdian ini bertujuan untuk meningkatkan pemahaman siswa dan menambah minat siswa SMAN 10 Malang dalam bidang kimia. Hasil dari kegiatan pelatihan ini yaitu guru dan siswa dapat menerapkan pembelajaran kimia berbasis teknologi dengan menggunakan aplikasi Avogadro. Guru-guru maupun pihak sekolah terkait dapat memaksimalkan pembelajaran berbasis teknologi ini dengan cara tatap muka secara langsung di sekolah atau lebih spesifiknya di laboratorium komputer sekolah, karena kita sadari bahwa tidak semua siswa memiliki fasilitas yang memadai di rumah. Namun, selama masa pandemi ini pelatihan kepada siswa dilakukan secara daring. Hanya pelatihan kepada guru kimia yang dilakukan di laboratorium sekolah. Evaluasi kegiatan ini dilakukan dengan memberikan kuesioner setelah pelatihan dilakukan.  Kegiatan ini mendapat respon positif dari peserta maupun guru bidang kimia. Kata Kunci : Pelatihan, Avogadro, SMAN 10 Malang 
Effect of Addition Titanium Dioxide Nanoparticle on Properties of Pineapple Leaf Fiber Mediated TEMPO Oxidation Oxidation Ramadhan, Rahmad Ikrom; Suryanto, Heru; Fikri, Ahmad Atif; Aminnudin, Aminnudin; Maulana, Jibril; Fadillah, Faqih; Mito, Mohamed T; Masera, Kemal
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 8, No 1 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um0168i12024p082

Abstract

Indonesia is an agricultural country with the potential to grow many plants as natural fiber sources. In order to improve its properties, natural fiber needs to be treated by applying nanomaterial so that it can compete with the characteristics of synthetic fibers. The study aims to determine the influence of adding titanium dioxide (TiO2) nanoparticles on pineapple leaf fiber (PALF) characteristics. The PALF was collected from the Subang plantation (Indonesia). The chemical treatment was carried out with pre-treatment using an alkalization process for 3 hours, and the oxidation process was carried out with TEMPO. TiO2 nanoparticle grafting was carried out by adding a silane solution with a ratio of 1:10 with alcohol. The characteristics of PALF were observed using XRD, FTIR, SEM, and tensile tests. The results show that the crystallinity of the PALF increased after TEMPO treatment. PALF form Si-O-C bond identified at a wavelength of 1158 cm-1 after silane treatment. Ti – O – Si functional groups were identified in the 660 cm-1 – 670 cm-1 wavelength range. In the fiber surface, agglomerated TiO2 nanoparticles are formed and increase with increasing TiO2 nanoparticle concentration. The tensile stress of treated PALF is increased by 125%, with the highest tensile strength of 1279.18 MPa, obtained by TiO2 nanoparticle concentration of 1.0%.
Heuristic Approach to Comparing the Environmental Impacts of Carbon Nanotube Production Methods Fikri, Ahmad Atif; Fadlika, Irham; Saeful, Albarrobi Nabila; Muhdi, Krisna Dwipa; Pratama, Daniel Febrian; Bello, Nasir Garba
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 8, No 1 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um016v8i12024p199

Abstract

Carbon Nanotubes (CNTs) production so far has its own advantages and disadvantages. Some methods that can be used in producing CNTs are chemical vapor deposition (CVD), laser ablation, and arc discharge. The three methods have their own requirements, this causes different environmental impacts on each method. Studies into the environmental impact of the CNTs production process found that during thermal pretreatment of the reactant gas, more than 45 by-products were formed, including methane, volatile organic compounds, and polycyclic aromatic hydrocarbons. Calculating the environmental impact of CNTs production method often has challenges in implementation, because each production process has different systems and needs. One way to overcome this problem is by using the heuristic method for forecasting environmental impact, which can be done with the Multi-Criteria Decision Analysis algorithm. The method can calculate uncertainty in each scenario, by normalizing the given load value. In this study, the CVD method has the best solution and objective value results compared to laser ablation and arc discharge. The best solution and objective values that show the value of scenario quality and environmental impact in each method, in CVD the solution obtained in the 34th generation has an epsilon value of 0.00251. The generation shows the performance of the scenario, while the epsilon value shows the value of the environmental impact, the smaller the generation, the better the scenario, while the smaller the epsilon value, the smaller the environmental impact.
Influence of additive nano calcium carbonate (CaCO3) on SAE 10W-30 engine oil: A study on thermophysical, rheological and performance Kurniawan, Dany Ardymas; Puspitasari, Poppy; Fikri, Ahmad Atif; Permanasari, Avita Ayu; Razak, Jeefferie Abd.; Pramono, Diki Dwi
Mechanical Engineering for Society and Industry Vol 4 No 1 (2024)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.11724

Abstract

Researchers have used nanomaterials as additives in base oil to improve its specifications, especially to minimize wear and friction during its applications. In this study, calcium carbonate (CaCO3) nanoparticles were selected as an additive to serve as a protective layer between components and anti-wear properties. In this study, calcium carbonate (CaCO3) nanoparticles were selected as an additive to serve as a protective layer between components and anti-wear properties. Nano lubricant samples were prepared using mass variations of CaCO3 and SAE 10W-30 base oil with concentrations of 0.05, 0.1, 0.15, and 0.2%, then homogenized. The nanolubricant samples obtained were analyzed for thermophysical, rheological properties and lubricant performance with the addition of nano CaCO3 in improving the wear resistance of FC25 cast iron. The results of thermophysical and rheological properties analysis suggest that the nanolubricant has better tribological properties compared to base lubricants. The highest values of thermal conductivity, density, and viscosity (40 oC) are 0.139 W/m.K, 812.203 kg/m3, and 106 mPa.s (40 oC). Meanwhile, the highest CoF, disc mass loss, and surface roughness of nanolubricant are 0.0706, 0.0037 grams, and 0.50 µm, respectively. These results indicate that the greatest wear-reducing agent is from the nanolubricant with the addition of CaCO3 nanopowder additives at 0.1 wt% concentration. These results are expected to give significant insights into the advancement of nano technology-based lubricants in the future.
Quantum Mechanics Approach for Metal-Organic Frameworks Deformation Effect on Carbon Capture Performance: A Density Functional Theory Study Muhdi, Krisna Dwipa; Fikri, Ahmad Atif
Journal of Mechanical Engineering, Science, and Innovation Vol 5, No 1 (2025): (April)
Publisher : Mechanical Engineering Department - Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jmesi.2025.v5i1.7415

Abstract

Increasing carbon dioxide (CO₂) emissions from fossil fuel combustion demand the development of effective and efficient carbon capture technologies. Metal-Organic Frameworks (MOFs) are excellent candidates as adsorbent materials because they have uniform pores, specific surface area, and can modified according to purpose. However, performance of MOFs may decrease due to structural deformation during  adsorption-desorption process, especially under extreme conditions. This study uses a quantum mechanical approach, namely Density Functional Theory (DFT), to analyze effect of deformation, specifically hMOF-13, on its performance in CO₂ adsorption. Through modeling the atomic structure of hMOF-13, an understanding of the quantum interactions between atoms, changes in position of atoms and cells due to deformation is obtained. Simulation results show that mechanical deformation of hMOF-13 decreases CO₂ adsorption performance through pore narrowing and electrostatic charge redistribution. In addition, excessive deformation can trigger structural failures that reduce regeneration cycles and lower carbon capture efficiency. Insights from this study can guide the subsequent development of MOFs with enhanced mechanical resistance, contributing to the optimization of industrial-scale carbon capture processes. By improving the structural stability of MOFs, industries can achieve higher adsorption efficiency, longer material life, and reduced operational costs, making carbon capture technology more feasible and sustainable.
Influence of Different Nanoparticles on Thermophysical Properties and Wear Resistance of Corn Oil-Based Cutting Fluid in MQL-CNC Milling Machining Habiby, M. Nuril Anwar; Puspitasari, Poppy; Aminnudin, Aminnudin; Pramono, Diki Dwi; Fikri, Ahmad Atif; Ghazali, Mariyam Jameelah
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 9, No 1 (2025)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um016v9i12025p075

Abstract

Vegetable oil-based cutting fluids have emerged as a promising innovation in machining operations, supporting the advancement of sustainable and eco-friendly manufacturing practices. This study delves into the development of a biolubricant derived from corn oil, enriched with 0.15% mass fractions of various nanoparticles, including calcium carbonate (CaCO3), copper oxide (CuO), and multi-walled carbon nanotubes (MWCNT). These nano-cutting fluids were applied through the Minimum Quantity Lubrication (MQL) method during CNC milling of AISI 1045 steel. The investigation focused on evaluating thermophysical properties, including density, thermal conductivity, and dynamic viscosity, as well as tool wear performance. The results demonstrated that CuO nanoparticles yielded the highest density, while MWCNT exhibited superior thermal conductivity and viscosity. Among all samples, the fluid with MWCNT showed the most effective performance in minimizing tool wear. This study highlights the potential of nanoparticle-enriched vegetable-based cutting fluids as high-performance, environmentally responsible alternatives to conventional mineral oil-based lubricants, promoting greener machining in the manufacturing industry.
Application of response surface methodology (RSM) and central composite design (CCD) to optimize of green ammonia production using magnetic induction method (MIM) and nanocatalysts Puspitasari, Poppy; Mufti, Nandang; Fikri, Ahmad Atif; Wahyudi, Deny Yudo; Shaharun, Maizatul Shima binti; Rahmah, Anisa Ur; Pramono, Diki Dwi
Mechanical Engineering for Society and Industry Vol 5 No 2 (2025): Issue in Progress (July-December)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.13408

Abstract

Ammonia synthesis in conventional industrial plants typically employs fused iron-based catalysts under harsh conditions—temperatures of 400–700°C and pressures exceeding 300 atm—resulting in significant energy consumption. This study investigates the potential of using a Mn0.8Zn0.2Fe2O4 catalyst, synthesized under varying sintering temperatures and magnetic field inductions, to enable ammonia synthesis under milder conditions. Additionally, process optimization was carried out using Response Surface Methodology (RSM) and Central Composite Design (CCD). Catalyst characterization results indicate that the crystallite size of Mn0.8Zn0.2Fe2O4 increases with higher sintering temperatures. The catalyst exhibits a near-spherical morphology with notable agglomeration. Magnetic property analysis shows that samples sintered at 700°C and 900°C display ferrimagnetic behavior, while the sample sintered at 1100°C exhibits ferromagnetic characteristics. Temperature-Programmed Reduction (TPR) revealed a maximum reduction peak at 788°C for the catalyst sintered at 1100°C, indicating enhanced reducibility. Ammonia formation was successfully achieved using a Helmholtz coil-assisted synthesis method, where the produced ammonia was captured in acidic and basic media in the form of NH₄OH and (NH₄)₂SO₄, confirming the catalytic activity of Mn0.8Zn0.2Fe2O4. The RSM model demonstrated high accuracy with an R² value of 99.73%, and residual analysis confirmed normal distribution, validating model assumptions. The optimal synthesis parameters determined were a sintering temperature of 700°C, magnetic induction of 0.14 T, and a reaction temperature of 28°C. The minimal deviation between predicted and experimental responses confirms the reliability and predictive accuracy of the quadratic regression model.
Sensor Fusion of Laser and Inertial Units with Kalman-KMeans-Fuzzy Framework for Real-Time Railway Geometry Monitoring Fikri, Ahmad Atif; Subhan, Muhammad Ferindin Nuha; Suryanto, Heru; Muhdi, Krisna Dwipa; Pratama, Daniel Febrian; Iqbal, Ahmad
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 3 (2025): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i3.13780

Abstract

Maintaining railway track geometry integrity is essential to ensuring transportation safety and predictive maintenance. Conventional manual inspection methods are limited by low sampling frequency, subjective interpretation, and delayed anomaly detection. This study introduces a real-time, embedded monitoring system using VL53L0X infrared laser sensors and an MPU6050 IMU to measure gauge, cross-level height, and inclination. Sensors are mounted on a lightweight aluminum trolley and sampled every 0.5 seconds using an Arduino-based platform. A Kalman Filter reduces measurement noise, with tuned covariance matrices based on field calibration. Filtered outputs are clustered via K-Means (K = 2), validated by the Elbow Method and Silhouette Score (>0.6). Maintenance categories are assigned through a fuzzy logic system, with a ±1 mm sensitivity analysis confirming >85% decision stability. Field results demonstrate a measurement noise, achieving RMSE and MAE values of 0.8165 mm and 0.3175 mm for gauge and height, and 0.3086° and 0.0952° for inclination, respectively and a SNR gain from 0.5 dB to 21.7 dB. The low-cost, modular setup supports scalable, condition-based maintenance and demonstrates robustness in noisy environments. This approach offers a practical foundation for future integration with predictive analytics and digital twin technologies in smart rail infrastructure.
Co-Authors Aminnudin, Aminnudin Avita Ayu Permanasari Bello, Nasir Garba Deny Yudo Wahyudi Fadillah, Faqih Ghazali, Mariyam Jameelah Habiby, M. Nuril Anwar Heru Suryanto Iqbal, Ahmad Irham Fadlika Jibril Maulana Kurniawan, Dany Ardymas Maftuchin Romlie Masera, Kemal Mito, Mohamed T Muhdi, Krisna Dwipa Nandang Mufti Pramono, Diki Dwi Pratama, Daniel Febrian Rahmah, Anisa Ur Ramadhan, Rahmad Ikrom Razak, Jeefferie Abd. Rr. Poppy Puspitasari Saeful, Albarrobi Nabila Shaharun, Maizatul Shima binti Subhan, Muhammad Ferindin Nuha