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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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The effect of 3D printing parameters on the tensile strength of acrylonitrile butadiene styrene filament for designing CNC router machine gears Lazuardi, Lazuardi; Rizza, Muhammad Akhlis
Jurnal Polimesin Vol 21, No 5 (2023): October
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v21i5.4045

Abstract

Print parameters are factors that influence the mechanical strength of 3D printed objects. Based on a literature review, the parameters of layer thickness, printing speed, and fill geometry percentage value influence the mechanical strength of 3D printed objects. This study focuses on a combination of robust 3D printing parameters for designing CNC router machine gears. The purpose of this research was to determine the effect of printing parameters on the mechanical strength of tensile loads on 3D printed objects. From the experimental results, it was found that by providing a combination of layer thickness parameters, printing speed parameters, and fill percentage parameters, it has an effect on the mechanical strength resistance of 3D printed objects to accept tensile loads. From the research it was found that the ideal layer thickness parameter of 0.1 to 0.2 mm does not exceed half the size of the nozzle diameter of 0.4 mm to produce fine raster fibers. From the research it was found that the ideal speed parameter for printing gears with ABS filament material is at speed 30 mm/s to 50 mm/s to produce a stable raster fiber size and the percentage parameter of a good fill for printing gears is at a value of 20% to 40%. The results of the research found the best printing parameters for printing gears with a print parameter formula with a 3D print parameter formula layer height 0.15mm, gyroid infill 20%, with a speed of 30mm/s maximum tensile strength reaching 30.7 MPa with the results of wheel loading simulation analysis gear is able to withstand a maximum workload of 85 Kg
Computational Fluid Dynamic (CFD) Analysis On Window Area Variation And Cooler Placement On Thermal Comfort In Stainless Steel Railway Carriages Jayanto, Denni Bagus; Saleh, Arif Rahman; Dewi, Rany Pupita
Jurnal Polimesin Vol 22, No 1 (2024): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i1.4185

Abstract

Thermal comfort is one of the most important factors in carrying out activities, especially during train travel. Therefore, PT Kereta Api Indonesia is trying to improve service standards by providing air conditioning on all trains, both executive and economy class. Several factors influence thermal comfort, such as temperature, air velocity, clothing insulation, radiation temperature, metabolism, and air humidity. This study aims to determine the distribution of temperature, air velocity, and airflow in stainless steel railroad cars, both actual and its variations. Computational Fluid Dynamic (CFD) simulation is used in this research. In the CFD simulation, several carriage design variations were applied, namely the actual design and three other designs that changed the location of the cooler and the window area like a commercial airplane. This study showed that KA 3 has a better temperature distribution with an average temperature of 24.71oC, and the airflow flows evenly throughout the carriage with an average speed of 0.50 m/s. According to SNI 03-6572-2001, KA 3 has met the comfort criteria.
Gas Turbine Maintenance Optimizing using the Reliability-Centered Maintenance Method Darmein Darmein; Marzuki Marzuki; Zuhaimi Zuhaimi; Fauzi Fauzi; Nurlaili Nurlaili; Luthfi Luthfi
Jurnal POLIMESIN Vol 21, No 1 (2023): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v21i1.3281

Abstract

Gas Turbine is one of the important equipment in the production process in the oil and gas industry. This equipment is used as the prime mover of the compressor to the gas supply. The company has implemented preventive maintenance and condition monitoring in the context of gas turbine maintenance as well as scheduled shutdown every 52,000 hours of operation time. Along with efforts to increase production, the company's management policy has implemented a gas turbine maintenance efficiency program from 52,000 hours to 72,000 hours of operation. This policy is based on the consideration that productivity decreases over time and component replacement during MI (Major Inspection) and HGPI (Hot Gas Path inspection). This policy will certainly have an impact on the reliability, performance, and failure rate that will be experienced by gas turbines as well as their impact on maintenance costs. This study aims to recommend optimal maintenance strategies for gas turbines using the Reliability Centered Maintenance (RCM) method related to availability, reliability, maintainability, and maintenance costs. In this study, an analysis of the causes and effects of failure was carried out using the Failure Mode and Effect Analysis (FMEA) method, with the parameters of failure frequency and consequences of failure then analyzed using the RCM worksheet to determine an effective maintenance strategy.  The results of this study obtained maintenance strategy for Gas Turbine components which are Failure finding, Redesign on conditioning, and Schedule discard task. The components that are scheduled for repairs are compressors and turbines and components that receive a component replacement schedule are Air Inlet and Combustion. The application of the RCM method has been able to reduce maintenance costs by up to 30.678% along with reduced downtime rates, decreased failure rates and the number of MTTR hours
Optimizing injection molding parameters to minimize and prediction potential for flashing defects Ismoyo, Ramadhan Araya; Hartono, Moh.; Murdani, Anggit
Jurnal Polimesin Vol 22, No 2 (2024): April
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i2.4576

Abstract

The injection molding process is a manufacturing process that can produce products in a short time in large quantities, in the injection molding process the factor of setting process parameters plays a significant role in product quality, so it requires special treatment. The purpose of this study is to find the optimal parameters in the injection moulding process of yogurth container lid with polypropylene material, so that the process can reduce the incidence of flashing defects that result in the emergence of initial waste in the industrial environment. The method used in this research is to create a Response Surface Methodology Box-Behnken Design (RSM - BBD) optimization model and an Artificial Neural Network (ANN) model approach in analyzing optimal parameters and predicting the appearance of flashing defects in a designed cycle. The results obtained from this research are the optimal parameters from the RSM and ANN model recommendations, namely the clamping force setting of 70 tons, holding time 0.1 seconds, and holding pressure. The ANN model provides the highest level of prediction accuracy with an R2 value of 100% and a prediction error rate of 7.9689E-09. In comparison, the RSM model obtains a prediction accuracy level with an R2 of 71% with an error rate of 0.24315.
AI-based face recognition system with telegram notification for room security on raspberry PI Deni Kurnia; Afzeri Afzeri; Imam Muis H; Slamet Riyadi; Adolf Asih Supriyanto; Feri Siswoyo Hadisantoso
Jurnal POLIMESIN Vol 21, No 3 (2023): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v21i3.3534

Abstract

This research is based on the importance of a security system in a room by implementing AI combined with the telegram notification system. The goal is that security information can be obtained quickly and in real-time. The methodology used is to design a hardware system consisting of input, process and output devices. The input device consists of a Logitech C270 camera mounted on 2 MG966R type servo motors so that the camera can rotate on the X and Y axes, then the results of the camera captures are processed using the Haar Cascade Classifier and Local Binary Pattern Histogram (LBPH) algorithms. Raspberry Pi 4 is used as a data processing center and push notification to telegrams in the form of images when faces are detected by a web camera. Only registered users may enter the room, by opening the door when a face is recognized. Our findings show that a room security system with an AI-based facial recognition application can be implemented, according to the planning and design results in this study. The door opening process produces an average result of 4.586 seconds, with the longest time being 4.981 seconds and the fastest time being 4.116 seconds. The door closing process produces an average result of 4.496 seconds, with the longest time being 4.966 seconds and the fastest time being 4.106 seconds. The average time of opening and closing the door is ideal and safe. From the results of the research that has been done, it can be concluded that the use of AI in this study aims to make decisions that only registered users can enter a room. In addition, the ability of the camera to move dynamically on the x and y axes is one of the system developments that did not exist before, so that the ability to take pictures besides being more accurate also becomes wider dynamic.
The effect of activated carbon granules and KOH solution on welding particulates and gases in air filtration Hardita, Dwi; Wirawan, Wirawan
Jurnal Polimesin Vol 21, No 6 (2023): December
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v21i6.4610

Abstract

Hazard Identification Risk Assessment Risk Control (HIRARC) is the process of identifying hazards that can occur in routine or non-routine activities in a company or workplace, then carrying out a risk assessment of these hazards.And from the risk assessment, the hazards in the welding workshop that have a moderate risk and are interesting for researchers to innovate are from sources of danger caused by smoke resulting from welding activities, causing workers to experience respiratory problems and eye irritation. Researchers created a smoke filtration device generated from welding with a system where the welding smoke is channeled into the KOH solution to reduce the number of air particles and reduce the levels of toxic substances in the welding smoke, then to keep the KOH solution always clean, a circulation system was created through the carbon to removes dirt and keeps the solution water from being dirty and colorless.Once all the tools are ready, measurements can be made to measure several chemical elements in the welding smoke from the point before it enters the filter and after going through the filtration process. Among the elements measured are Carbon Dioxide (CO 2), Carbon Monoxide (CO), Particulate PM 2.5 (2.5 Microns), and Particulate PM 10 (10 Microns). Based on research and data testing carried out using the Anova Test and Fisher Pairwise Comparisons, it can be concluded that to produce the best and cleanest air results, the composition is K4 C1 or KOH 10% with Cabon Active 2-3 Mesh. Because if activated carbon with a mesh size larger than 2-3 mesh will affect the quality of the KOH solution because the granules are too small and contaminate the KOH solution. And the higher the KOH solution level, the more effective it is at reducing the dangerous elements in welding fumes. 
Optimization of the performance of the steam turbine SCSF-31.2" with 6 stages of axial exhaust in "X" geothermal power plant (PLTP "X") Hernawan Novianto; Zakiy Kamikho Harfy; Shultoni Mahardika; Sujono Sujono; Ayende Ayende
Jurnal POLIMESIN Vol 21, No 1 (2023): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v21i1.3186

Abstract

The SCSF-31.2" 6-stage axial exhaust turbine in PLTP "X" is the main equipment for the power plant unit that functions to convert heat energy from steam into kinetic energy (rotation). Kinetic energy is transmitted by the shaft to the generator and then converted into electrical energy. The SCCF-31.2" 6-stage axial exhaust turbine currently operates at 7.95 bar (a) inlet pressure, 169.7 oC inlet temperature, and 112.504 kg/s steam mass rate. After evaluating the turbine performance with current actual operating data, the efficiency value is 78.8%, and it produces a gross generator power of 54.867 MW. The current efficiency value has decreased by 9.2% when compared to the initial condition. The decrease in efficiency is expected to occur due to an increase in temperature and pressure in the condenser. The temperature and pressure inside the condenser were initially at 40 °C and 0.074 bar (a) and are currently at 45.2 °C and 0.098 bar (a). Therefore, optimization is done by cleaning the channel sprayer in the condenser with the hope of increasing the water cooling flow rate and creating a wider contact area. As a result, the condenser temperature and pressure decreased so that the turbine efficiency value increased to 81.2% and the gross generator power increased to 57,224 MW
The effect of cutting depth, feed rate, and cutting angle on surface roughness in the lathe process of aluminum 6061. Suwanda, Totok; Ramdhan, Gilang Joy Habib; Ardiyansyah, Nur
Jurnal Polimesin Vol 22, No 2 (2024): April
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i2.4658

Abstract

In the turning process, the machining parameters have a significant impact on the product quality. Consumers frequently request that certain industries adhere to product quality standards, especially regarding surface texture. Numerous product failures have resulted in dissatisfaction among the company's clientele because many lathe operators are fixated solely on product size drawings and are unaware of factors that can impact the surface roughness value. This investigation was conducted to ascertain how machining parameters affect surface irregularity. Variations in feed rates of 47.5 mm/min and 345.6 mm/min, cutting angles of 60° and 80°, and depths of cut of 1 mm and 3 mm were utilized to conduct the investigation on aluminum alloy 6061 specimens. The results of turning were evaluated for surface roughness using a surface roughness analyzer and a macro test to determine the structure of the surface roughness. Using the Minitab 2019 application, the obtained data was then analyzed to determine the influence of each trimming parameter working individually or simultaneously. Using the method of geometric factorial analysis, integrate the research parameters. The results indicated that the surface roughness increased as the feed rate increased; the lowest surface roughness was achieved with a depth of cut of 1 mm, a feeding rate of 47.5 mm/min, and a cut angle of 80°. In this study, the surface roughness value decreased as the cutting angle increased at lower levels of feeding rate, while the surface roughness value increased at higher levels of feeding rate.
Study of Mechanical Strength of Composite Materials Made from Marble and Sago Fiber Waste for Rencong Marble Souvenirs Storage Ihsan Anwar; Asbahrul Amri; Lindawati Lindawati; Sandika Putri Rahayu; Edi Saputra
Jurnal POLIMESIN Vol 21, No 1 (2023): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v21i1.2627

Abstract

Kedai Kandang Village, South Kluet District, South Aceh Regency, is one of the sago-producing areas. In this study, the waste resulted from the processing of sago was used as a reinforcing material for composite materials. This research was conducted to determine the mechanical strength of the composite made from marble waste reinforced with sago fiber waste to be used as rencong Marble souvenir storage. The composition of the mixture in the samples used was 85:10:5, 80:10:10, 90:7.5:2.5, and 80:12.5:7.5. The mechanical strength was determined through tensile strength testing. The results of the tensile test showed that the highest tensile strength values were shown in the sample with the percentage composition of a mixture of resin, marble powder, and sago fiber, 85:10:5. The average maximum stress value obtained is 18.707 N/m². The average modulus of elasticity obtained is 1.462 N/m².
Analysis of the effect of welding sequence and speed on the distortion of ASTM A36 joints by MIG method Purnama, Dewin; Rizkia, Vika; Garjati, Vina Nanda
Jurnal Polimesin Vol 21, No 5 (2023): October
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v21i5.4134

Abstract

The welding process with the Metal Inert Gas (MIG) method often produces distortions that are detrimental to product quality, one of the factors that affect the characteristics of the welding results is heat input. The heat input provided in the welding process is influenced by arc current, arc voltage, and welding speed, besides that the welding sequence can also affect the distortion of thin plates due to welding on materials such as ASTM A36 plates. The welding process uses welding wire/electrode type AWS ER 70S-6 with a diameter of 1.0 mm, the welding parameters applied are: voltage of 22 Volts, current of 150 Amperes, DC + Current type (DCEP), the shielding gas used is 100% Argon with a flow rate of 15 liters per minute, horizontal welding position (1G), the amount of heat input is differentiated by changing the welding speed and the welding sequence used is the stepping stone method. The results of the study using ANOVA indicate that welding distortion increases with an increase in input heat, the repetition of welding sequences leads to greater distortion due to thermal stress, and the welding sequence and input heat have an influence of 80.4% in reducing distortion.

Page 29 of 51 | Total Record : 503

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