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INDONESIA
METALOGRAM
Published by Universitas Riau Kepulauan Batam
ISSN : -     EISSN : 30902460     DOI : https://doi.org/10.33373/mtlg.v2i1
Core Subject : Engineering,
Aerospace Engineering Automotive Engineering Control & Systems Engineering Engineering Industrial & Manufacturing Engineering
Metalogram is published by Program Studi Teknik Mesin, Fakultas Teknik, Universitas Riau Kepulauan, Batam, Indonesia. Metalogram is an open-access peer reviewed journal that mediates the dissemination of academicians, researchers, and practitioners in mechanical engineering. Metalogram accepts submission from all over the world. Metalogram aims to provide a forum for national and international academicians, researchers and practitioners on mechanical engineering to publish the original articles. All accepted articles will be published and will be freely available to all readers with worldwide visibility and coverage. The scope of Metalogram is in engineering such as design, energy conversion, manufacture, and metallurgy, asset management engineering.
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 6 Documents
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Search results for , issue "metalogram vol.02 no.3 (august,2026)" : 6 Documents clear
Simulation Study of Galvanic Interaction in Alloy Metal Combinations in Acidic Environments Galang Rimba Nusantara; Habit Fariz Alqyfary; Dimas Anugrah; Gabriel Batis Tasane; Fardin Hasibuan
METALOGRAM Metalogram Vol.02 No.3 (August,2026)
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/mtlg.v2i3.7869

Abstract

Galvanic corrosion is a form of material degradation that occurs due to the electrochemical potential difference between two dissimilar metals in contact within an electrolytic environment. This study aims to simulate galvanic interactions between various alloy metal combinations under acidic conditions, with the objective of identifying the metal pairs most susceptible to corrosion and evaluating the resulting corrosion rates. The simulation was carried out using a numerical approach based on finite element method (FEM)-based software, which enables detailed visualization of galvanic current distribution and electrochemical potential mapping. The simulation results indicate that metal combinations with greater electrochemical potential differences exhibit significantly higher corrosion rates, particularly affecting the metal acting as the anode. Furthermore, the acidity level (pH) of the environment was found to have a direct impact on the intensity of the corrosion process. This study provides a scientific foundation for safer material selection in structural design and mechanical systems operating in aggressive environments, and offers initial recommendations for mitigating galvanic corrosion.
Effectiveness Analysis of An Acid-Based Commercial Cleaner (Harpic) and A Corrosion Inhibitor (Wd-40) on A Motorcycle Fuel Tank Aminuddin Aminuddin; Safira Ma'asya; Tri Tunggal SB; Muhammad Alfarizhi; Fardin Hasibuan
METALOGRAM Metalogram Vol.02 No.3 (August,2026)
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/mtlg.v2i3.7856

Abstract

Corrosion in steel fuel tanks is a common problem that can impair engine performance. This study aims to evaluate the effectiveness of a low-cost restoration method on a severely corroded motorcycle tank. The methodology employed was a case study with a sequential application: a 72-hour immersion in a hydrochloric acid-based cleaner (Harpic) to dissolve iron oxides, followed by the application of a water-displacing corrosion inhibitor (WD-40) as a temporary protectant. Effectiveness was evaluated through comparative visual inspection at each stage of the process. The observational results show that this method successfully removed the majority of corrosion products (rust) and restored the base metal surface. The application of the corrosion inhibitor proved effective in preventing the occurrence of flash rust over a one-week observation period. With a total cost of approximately $9.50 USD, this method offers 90%+ cost savings compared to tank replacement. It is concluded that this combination of commercial products offers a functional and affordable solution for short-term restoration and protection, with the key caveats that the evaluation is qualitative and the protection is not permanent.
Corrosion Analysis and Prevention Techniques on Marine Steel Structures faizin muhammad Hanif; doan novri; Muhammad umar wibisono; dinda balqis; fardin hasibuan
METALOGRAM Metalogram Vol.02 No.3 (August,2026)
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/mtlg.v2i3.8105

Abstract

Steel structures used in marine environments are highly susceptible to corrosion due to direct exposure to electrolytic seawater, as well as fluctuations in temperature and salinity. This study aims to examine the corrosion mechanisms affecting marine steel and to evaluate the effectiveness of various protection methods, including protective coatings, corrosion inhibitors, and cathodic protection systems. The research methods include corrosion rate measurement through mass loss tests, surface morphology analysis using scanning electron microscopy (SEM), and electrochemical testing using Tafel and electrochemical impedance spectroscopy (EIS). Experimental results show that the highest corrosion rate occurs in the splash zone, which undergoes frequent wet-dry cycles, with a rate of 0.35 mm per year. A cathodic protection system using magnesium anodes successfully reduced the corrosion rate by up to 80%, while a dual-layer epoxy coating demonstrated optimal protection in high-salinity environments. These findings suggest that combining coating techniques with cathodic protection is the most effective strategy for mitigating corrosion in marine steel structures, particularly in areas exposed to harsh conditions. This research contributes to the development of more efficient and sustainable corrosion protection systems in marine engineering.
Optimization of Droplet Distribution and Spray Pattern Uniformity on a Multi-Nozzle Mobile Compression Pump (MMCP) Sprayer Adedipe Jide Olusegun
METALOGRAM Metalogram Vol.02 No.3 (August,2026)
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/mtlg.v2i3.9417

Abstract

This study evaluated MMCP sprayer under pump pressures between 150 – 450 kPa, nozzle height of 0.30 – 0.90 and speed of 0.10 – 0.45 m/s. Water was used with fluorescent tracer dye for patternator-based distribution. Response variables were coefficient of variation (CV) of spray, volume median diameter (VMD), drift loss, swath width, application rate, and field capacity. Results showed that pump pressure of 300 kPa produced the most uniformed spray distribution of CV of 7.3%. It had VMD of 261 μm classified as a medium-to-coarse spray. Spray drift increased above 350 kPa to 15.4% at 450 kPa; this exceeded the acceptable 5% threshold. Nozzle height of 0.50 – 0.55 m minimized distribution CV of 6.9 – 7.3%. This provides an effective swath width of 0.74 – 0.89 m. Application rate declined with increased speed, from 1,121 L/ha at 0.10 m/s to 249 L/ha at 0.45 m/s. Field capacity increased to 0.486 ha/h at the highest speed. Comparative tests confirmed that the MMCP achieved a field capacity of 0.302 ha/h; 5.3 times of manual knapsack which was 0.057 ha/h and can be compared in efficiency to motorized alternatives in capital and running costs. These findings confirmed its suitability as a technology for smallholder crop protection operations.
Non-Destructive Tecnhnique That Uses Sound Waves To Detect Flaws in Materials Kiki Dwi Putra; Lindo Rivaldi Butar-Butar; Brandon Brandon; Fardin Hasibuan
METALOGRAM Metalogram Vol.02 No.3 (August,2026)
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/mtlg.v2i3.7452

Abstract

Non-destructive testing (NDT) is a crucial method for assessing the structural integrity of materials without causing damage. Among the various NDT techniques, the use of sound waves—such as ultrasonic testing—stands out for its precision and flexibility. This technique utilizes high-frequency sound waves to penetrate materials and detect defects such as cracks, voids, and inclusions. The method operates based on the interaction of sound waves with material boundaries, where imperfections reflect the waves, generating distinct signals. Advanced ultrasonic testing can provide detailed information on the size, location, and orientation of defects, enabling accurate material condition assessment. This abstract highlights the significance of sound wave-based NDT in industries such as aerospace, construction, and manufacturing to ensure safety, reliability, and cost efficiency. Further advancements in this technique can enhance accuracy and maintain structural integrity in critical applications.
AI-Based Material Selection Evaluation for Heavy Construction Machinery Components Yuki Alvandi; Beny Gusnal; Muhamad Adriansyah
METALOGRAM Metalogram Vol.02 No.3 (August,2026)
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/mtlg.v2i3.7456

Abstract

Selecting the right material for heavy construction machinery components is a crucial step in ensuring operational performance, efficiency, and sustainability. Artificial intelligence (AI) technology offers a new approach to this selection process with its fast and high-precision data analysis capabilities. This study aims to evaluate the effectiveness of AI implementation in material selection for heavy construction machinery components. The study utilized machine learning algorithms, such as random forest and artificial neural networks, to analyze material parameters including strength, wear resistance, density, and production cost. The results showed that the AI-based method can improve material selection efficiency by up to 35% compared to conventional methods. In addition, this method is also able to reduce selection errors that often occur in manual approaches. By utilizing AI, the selection process becomes faster, more accurate, and more sustainable, supporting the development of more modern and environmentally friendly construction technologies.

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