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Jurnal Polimesin
Published by Politeknik Negeri Lhokseumawe
ISSN : 16935462     EISSN : 25491199     DOI : http://dx.doi.org/10.30811/jpl
Core Subject : Science, Engineering,
Automotive Engineering Control & Systems Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering
Polimesin mostly publishes studies in the core areas of mechanical engineering, such as energy conversion, machine and mechanism design, and manufacturing technology. As science and technology develop rapidly in combination with other disciplines such as electrical, Polimesin also adapts to new facts by accepting manuscripts in mechatronics. In Biomechanics, Mechanical study in musculoskeletal and bio-tissue has been widely recognized to help better life quality for disabled people and physical rehabilitation work. Such a wide range of Polimesin could be published, but it still has criteria to apply mechanical systems and principles. Exceeding the limitation has been a common reason for rejection by those outside the scope. Using chemical principles more than mechanical ones in material engineering has been a common reason for rejection after submission. Excessive exploration of the management within the discipline of Industrial Engineering in the manufacturing technology scope is also unacceptable. The sub-scope biomechanics that focuses on ergonomics and does not study movement involving applied force on the bio-tissue is also not suitable for submission.
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 503 Documents
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Thermodynamic Analysis of Gas Turbine Power Plant of PT PLN Belawan Generation Implementation Unit Sofyan, Sarwo Edhy; Umar, Hamdani; Tamlicha, Akram; Ramafunna, Fitra Ilham
Jurnal Polimesin Vol 22, No 4 (2024): August
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i4.5365

Abstract

The low quality of the thermodynamic process in a gas turbine power plant results in the waste of potential energy and impacts the power plant's efficiency. Analysing the thermodynamic performance of a gas turbine power plant is crucial to evaluating its efficiency in converting fuel energy into useful work. This analysis helps identify opportunities for improvement and optimise the plant's design for better performance by examining the components (e.g., the compressor, combustion chamber, and turbine). This study aims to evaluate the performance of a Gas Turbine Power Plant (GTPP) through thermodynamic analysis considering the variation of cycle loads. The study was conducted based on the field survey data obtained from the GTPP PT PLN Belawan generation implementation unit. The collected operation data was used to perform a thermodynamic analysis by applying the principles of conservation of mass and energy, along with the laws of thermodynamics. The study examined five cycle load variations: 31.7 MW, 34.3 MW, 48.1 MW, 60.7 MW, and 71.7 MW. Results showed a consistent reduction in the gas turbine heat rate as the load increased, with a significant 53.3% drop in heat rate from 34.3 MW to 71.7 MW. Higher cycle loads also correlated with increased turbine and compressor work, with the turbine producing 55.8% more work than the compressor at 71.7 MW. The turbine's thermal efficiency ranged from 40% to 44%, with potential for a 5% efficiency increase.
Numerical study of downwash flow on rice plant protection drone with computational fluid dynamics method Mohamad Yamin; Muhammad Zidan Alfasha
Jurnal Polimesin Vol 22, No 4 (2024): August
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i4.5036

Abstract

Unnamed Unmanned Aerial Vehicles (UAVs) are increasingly being utilized in various industries, including agriculture, to support the growing demand for food. UAVs streamline work processes and are particularly useful in the spraying method for plant protection. This study aims to analyze the characteristics of the downwash flow, which are influenced by factors such as flight altitude, airfoil profile, and the flying speed of the drone. Unlike previous studies that used 6-blade UAVs, this research focused on a 4-blade configuration. The study employed Computational Fluid Dynamics (CFD) to analyze drone geometry and input boundary conditions based on environmental factors. The drone's flying altitude significantly impacted downwash flow, particularly concerning In Ground Effect (IGE) and Out of Ground Effect (OGE) conditions. Unlike previous research, this study considered the airfoil profile of the propeller, which, along with the drag and lift coefficients from the airfoil geometry, affected the downwash flow. The drone's flying speed, related to the relative wind speed around its working area, also influenced pressure distribution and downwash flow speed. These factors significantly impacted downwash flow and determined the distribution of plant protection droplets on the rice field. The results indicated that increasing flight altitude reduced the ground effect, affecting the quadcopter's downwash. Similarly, flight speed had a similar effect on downwash as altitude. Based on these findings, the study recommended a flight altitude of 2 m and a speed of 2 m/s for optimal downwash and proper distribution of plant protection.
Mechanical Processing with Solid-State of Supercapacitor Materials: A Review of High Energy Milling and High Velocity Particle Methods Mahruri Arif Wicaksono; Bambang Suharno; Widi Astuti; Yayat Iman Supriyatna; Slamet Sumardi
Jurnal Polimesin Vol 22, No 4 (2024): August
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i4.5296

Abstract

Supercapacitors have emerged as a crucial energy storage technology, bridging the gap between traditional capacitors and batteries. The performance of supercapacitors is heavily dependent on the properties of the electrode materials used. Mechanical processing methods, particularly High Energy Milling (HEM) and High-Velocity Particle (HVP) methods have shown great promise in enhancing the physical and electrochemical properties of supercapacitor materials. This review explores the fundamental principles, mechanisms, and recent advancements in HEM and HVP techniques for the synthesis and modification of supercapacitor materials. High energy milling, including ballmill and attritor milling, facilitates particle size reduction, increased surface area, and the creation of nanostructures, leading to improved capacitance and energy density. High velocity particle methods, such as cold spraying and thermal spraying, enable the deposition of uniform and dense coatings, enhancing conductivity and stability. The review also discusses the impact of process parameters on material properties, the challenges faced in scaling up these techniques, and the potential future directions for research. By providing a comprehensive overview of these mechanical processing methods, this paper aims to highlight their significance and potential in advancing supercapacitor technology.
Selection of drive system and chassis structure basic design and analysis for medium-sized urban electric bus Naufal Aflah Hibatullah; Rachman Setiawan
Jurnal Polimesin Vol 22, No 4 (2024): August
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i4.4905

Abstract

One of the alternative solutions to address environmental and energy challenges is the utilization of electric vehicles, particularly in the domain of public transportation. The focus was on the development of medium-sized electric buses to expand the reach of electric-powered public transport. The design process encompasses the selection of vehicle components, such as the drive system, and the configuration of a space frame chassis structure. The drive system was meticulously chosen and proved to exceed the design requirements, as it achieved a gradability of 12.44%, surpassing the targeted capability of 10% slope. Moreover, it boasts a maximum speed of 108 km/h, exceeding the design requirement of a maximum speed of 50 km/h, and can accelerate at a rate of 1-2 m/s². The chassis design adheres to regulations and standards and is grounded in the strength, stiffness, and natural frequency criteria. The initial chassis design did not meet the design requirement, however, through several iterations, a chassis structure was achieved with a vertical bending stiffness of 8.57 kN/mm and a torsional stiffness of 9.63 kNm/°. Based on the outcomes of this research, a drive system and chassis structure design that fully satisfies all the existing design requirements has been successfully attained.
Optimizing prediction of stainless steel mechanical properties with random forest: a comparison of feature selection methods Maimuzar, Maimuzar; Hendra, Hendra; Khan, Syarif; Leni, Desmarita; Islahuddin, Islahuddin
Jurnal Polimesin Vol 22, No 5 (2024): October
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i5.5381

Abstract

In machine learning, predicting the mechanical properties of stainless steel, such as Yield Strength (YS), Ultimate Tensile Strength (UTS), and Elongation (EL), requires many input variables, such as chemical composition, type of heat treatment, heating duration, and cooling method. However, the complexity and number of these variables can increase processing time and reduce model accuracy. This study aims to explore the impact of selecting the most influential input variables to improve prediction accuracy. We compared two feature selection techniques: Recursive Feature Elimination (RFE), which systematically removes less important features, and Information Gain (IG), which measures the contribution of each variable to the target prediction. Both techniques were implemented using the random forest algorithm, chosen for its robustness in handling large datasets and its ability to capture complex interactions between variables. Parameter optimization was performed using a grid search. The analysis showed that the RFE-based model outperformed both the IG-based model and the model without feature selection. In predicting YS, RFE identified 13 out of 21 influential variables, achieving a Mean Absolute Error (MAE) of 9.91, Root Mean Square Error (RMSE) of 14.20, and R-squared value of 0.89. For UTS, RFE identified 8 out of 21 variables, with an MAE of 12.89, RMSE of 16.97, and R-squared of 0.97. In predicting EL, RFE identified 14 out of 21 variables, with an MAE of 3.82, RMSE of 6.10, and an R-squared value of 0.85. The high R-squared values (0.85) across all properties indicate the model’s strong predictive capabilities, making it suitable for practical applications in predicting the mechanical properties of stainless steel.
The effect of TIG welding technology parameters on the weld quality of copper material joints for heat pipe applications Azwinur, Azwinur; Kusuma, M. Hadi; Usman, Usman; Dharma, Surya
Jurnal Polimesin Vol 22, No 6 (2024): December
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i6.6058

Abstract

Copper is a commonly used material for heat pipe fabrication using the welding process. However, welding copper to copper presents significant challenges due to its inherent material properties. Its exceptionally high thermal conductivity facilitates rapid heat dispersion, complicating the maintenance of a stable melting zone. Furthermore, copper is prone to oxidation, which generates brittle oxides that can adversely affect weld quality. This research paper examines the relationship between TIG welding parameters—specifically current, voltage, shielding gas flow rate, and filler rods—and the mechanical properties of the resulting heat pipe material. The study involves varying the welding current at levels of 120 A, 135 A, and 150 A, along with different types of filler rods. The results indicate that both the selection of welding current and the type of filler rod significantly influence the tensile strength of copper welded joints. Notably, the use of higher currents in ERCuSi-A welding tends to decrease hardness in the HeatAffected Zone (HAZ), while producing more complex variations in hardness within the Weld Metal (WM), dependent on the interplay between heat and the chemical composition of the filler rod. Additionally, nickel in the ERCuNi filler rod contributes to an increase in weld hardness.
Modeling the effect of bullet velocity and composite fiber orientation on the ballistic impact strength of Eglass/isophthalic polyester composites Fahmi, Fariz Rifqi Zul; Hermawan, Harry; Hanggara, Fuad Dwi
Jurnal Polimesin Vol 22, No 6 (2024): December
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i6.5861

Abstract

Numerical simulation has been widely used as a cost-effective and practical solution to understand phenomena previously determined only through experiment. One example is ballistic impact simulation using the finite element method. The simulation of ballistic impact was used to determine the effect of fiber orientation and bullet velocity on the ballistic impact strength of E-glass/isophthalic polyester. The analysis and simulation process were conducted using ANSYS Workbench v19.2 software. The simulation involved firing a 9 mm FMJ Parabellum bullet with a mass of 6.98 grams at a composite panel measuring 100×100×0.57 mm with 12 layers at specified velocities. This study varied fiber orientation ([±45°] and [0°, 90°]) and bullet velocities (300, 500, and 800 m/s), using symmetrical laminate arrangements. The simulation results showed that the E-glass/isophthalic polyester composite with a fiber orientation of [±45°] has 16.51% higher ballistic strength compared to the [0°, 90°] fiber orientation. The highest ballistic impact strength for the [±45°] fiber orientation occured at 500 m/s, surpassing the 300 m/s and 800 m/s velocities by 12.92% and 43.81%, respectively. The Wen model was used for the validation process, and the error values between the computed and modeling results for the E-glass/isophthalic polyester composite ranged between 1.62% and 20.64%.Isophthalic polyester, E-glass, composite laminate, explicit dynamic, ballistic impact.
Combined Carburizing and Shot Peening to Increase Gear Sprocket Surface Hardness Bambang Hari Priyambodo; Lilik Dwi Styana; Martinus Heru Palmiyanto; Kaleb Priyanto; Rauuf Nur Fattah
Jurnal Polimesin Vol 22, No 5 (2024): October
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i5.5693

Abstract

The sprocket is a crucial motorcycle component that transferengine rotational force to the wheels. However,  friction between the chain and gear during the operation leads to wear. This study aimed to enhancethe surface hardness of sprocket by combining  pack carburizing and shot peening. Pack carburizing was conducted by embedding the sprocket in coconut shell charcoal powder and heating it to 850°C for 60 minutes,followed by quenching in water at 30°C. Shot peening was then applied to the carburized specimen using steel ball particles for 20 minutes at a pressure of 8 bar. Hardness testing was performed according tothe ASTM 92-17 Vickers method, andmicrostructuralanalysis was conducted  using Scanning Electron Microscopy (SEM) on the best specimen results. The hardness values for untreated, carburized, and carburized + shot peened specimens were found to be 284, 302, and 424 VHN, respectively. In this study, transverse observation of the specimen showed a carburizing layer with a depth of about 8 µm. The phenomenon was related to the increase in hardness of the carburized specimen, while the effect of shot peening for 20 minutes was about 100 µm from the surface of the specimen. This caused the hardness of the combined carburizing and shot peening specimen with a pressure of 8 bar for 20 minutes to increase hardness by about 49% compared to the non-treatment specimen. This combination significantly improved the surface hardness, potentially increasing the sprocket’s wear resistance and operational lifespan.Transverse analysis revealed an approximately 8 µmdeeo carburized layer, with the shot peening effect penetrating about 100µm from the surface. This treatment combination increased the specimen’s, suggesting a significant improvement in surface hardness, wear resistance, and overall durability of the sprocket. 
Design of an aluminum can pressing machine using a lead screw mechanism with a microcontroller-based monitoring system Rizal Indrawan; Abdulloh Sami Alfaris; Agus Khumaidi; Dhika Aditya Purnomo; Fipka Bisono
Jurnal Polimesin Vol 22, No 5 (2024): October
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i5.5219

Abstract

The beverage industry is experiencing significant growth; however, the handling and management of can waste, particularly aluminum can waste, still rely on manual processes, such as stepping on or striking the can with a tool to reduce its volume. Therefore, there is a need for innovation to design and create a small-scale can pressing machine. The development of this machine employs the Ulrich method, which encompasses the identification of machine requirements, concept selection, and design embodiment. Based on the results obtained using the Ulrich method, design concept 2 was selected. Subsequently, planning, calculations, and analyses were conducted to identify the core and supporting components necessary for constructing the machine. The next stage involved creating detailed drawings of the machine, followed by fabrication and testing. During testing, the can pressing machine demonstrated the ability to exert a maximum load of 20,110.5 N, with a torque of 220.990 Nm and a power output of 0.5 HP (356.95 watts). The PZEM-004T microcontroller was utilized to monitor the operational control of the electric motor. The machine successfully reduced the volume of cans by 56.5%, decreasing their initial height from 345 mm to 150 mm, and it is capable of processing 75 cans per minute.
Interfacial stress distribution analysis of natural fiberreinforced epoxy composites: a finite element approach Ikramullah, Ikramullah; Gapatra, Reja; Ananda, Seprian Haris; Kurniawan, Rudi; Fonna, Syarizal; Rizal, Samsul; Huzni, Syifaul
Jurnal Polimesin Vol 22, No 6 (2024): December
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i6.6085

Abstract

The strength of fiber-reinforced composites is greatly influenced by the bonding at the fiber-matrix interface. Experimental methods to study this interface are often challenging, making numerical approaches essential for evaluating the interfacial behavior in fiber-reinforced composites. This study investigates the stress and strain distribution in the fiber, matrix, and fibermatrix interface regions of natural fiber-reinforced single-fiber composites under tensile loading using the finite element method. Interface conditions were modeled using cohesive elements, with the composites represented in two dimensions through ABAQUS 6.14 software. The tie constrains contact model was employed to define binding interactions between the cohesive element, the fiber, and the matrix. The maximum stress value resulting from the simulation process is 202 MPa and a strain of 0.0449 mm. The stress is effectively distributed to the fiber, demonstrating that the cohesive element used in composite analysis under tensile loading serves as a reliable link between the fiber and the matrix. The simulation results revealed a maximum stress value of 202 MPa and a corresponding strain of 0.0449 mm. The stress distribution effectively transferred to the fiber, demonstrating the capability of cohesive elements to represent the interfacial bond in composites under tensile loading. These findings confirm that cohesive element modeling is reliable method for analyzing fibermatrix interactions in natural fiber reinforced composites, providing insights for optimizing composite performance.

Page 36 of 51 | Total Record : 503

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