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Redaksi Jurnal Rekayasa Mesin Jurusan Teknik Mesin Fakultas Teknik, Universitas Brawijaya Jl. MT. Haryono 167 Malang, Jawa Timur Indonesia 65145
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Rekayasa Mesin
Published by Universitas Brawijaya
ISSN : 23381663     EISSN : 24776041     DOI : 10.21776/ub.jrm
Core Subject : Engineering,
Mechanical Engineering
Rekayasa Mesin is published by Mechanical Engineering Department, Faculty of Engineering, Brawijaya, Malang-East Java-Indonesia. Rekayasa Mesin is an open-access peer reviewed journal that mediates the dissemination of academicians, researchers, and practitioners in mechanical engineering. Rekayasa Mesin accepts submission from all over the world, especially from Indonesia. Rekayasa Mesin 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 Rekayasa Mesin are the specific topics issues in mechanical engineering such as design, energy conversion, manufacture, and metallurgy. All articles submitted to this journal can be written in Bahasa and English Language.
Arjuna Subject : -
Articles 965 Documents
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ANALISIS SIFAT MEKANIK KOMPOSIT SANDWICH SERAT KARBON TWILL 3K/DIVINYCELL FOAM DENGAN VARIASI METODE FABRIKASI Kamila Nurul Aini; Arif Tjahjono; Nurul Lailatul Muzayadah; Afid Nugroho; Taufiq Satrio Nurtiasto
Jurnal Rekayasa Mesin Vol. 14 No. 2 (2023)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v14i2.1353

Abstract

Sandiwch composite  is a type of structural composite material composed of a strong facesheet and a low-density core material. Sandwich composites have a high mechanical properties with their lightweight structure, so this material can be applied to aircraft structures. This study aims to determine the mechanical properties of carbon fiber sandwich composite twill 3K/divinycelll foam with various fabrication methods. The fabrication methods used vacuum bagging methods, and vacuum assisted resin infusion method. Mechanical tests conducted are flatwise compressive with ASTM C364 standard, edgewise compressive with ASTM C365 standard, flexural three point bending with ASTM C393 standard, and tensile strength with ASTM D3039 standard. In addition, scanning electron microscope test were also conducted to determine the morphology of the surface of the material and the bond between the fiber and the matrix. The results were obtained that vacuum asssisted resin infusion method has the most optimum mechanical with a high value in each test, such as the result of flexural three point bending of 47,51 MPa is better when  compared with the result of vacuum bagging method of 18,70 MPa. Scanning electron microscope test results also showed that the vacuum assisted resin infusion method has the best morphology with perfect  bond between matrix and fiber. So that it can be concluded that the most optimal mechanical properties  of sandwich composites are produced by vacuum asssisted resin infusion method.
PERANCANGAN METODE MACHINE LEARNING BERBASIS WEB UNTUK PREDIKSI SIFAT MEKANIK ALUMINIUM Desmarita Leni; Arwizet K; Ruzita Sumiati; Haris Haris; Adriansyah Adriansyah
Jurnal Rekayasa Mesin Vol. 14 No. 2 (2023)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v14i2.1370

Abstract

The main objective of this research is to design a web-based machine learning model that can predict the mechanical properties of aluminum based on its chemical composition. By inputting nine variables of chemical elements such as Al, Mg, Zn, Ti, Cu, Mn, Cr, Fe, and Si, the model is able to provide predictions for two output data, Yield Strength (YS) and Tensile Strength (TS). The research aims to understand the relationship between chemical composition and mechanical properties of aluminum, and to develop a tool that can be used to predict these properties with a high level of accuracy. Overall, the goal of this study is to enhance the understanding of the properties of aluminum and how it can be utilized in various applications. This study designs a web-based machine learning modeling to predict the mechanical properties of aluminum in the percentage of chemical composition, where the input data in the modeling consists of 9 variables of chemical elements such as Al, Mg, Zn, Ti, Cu, Mn, Cr, Fe, Si, and has 2 output data consisting of Yield Strength (YS) and Tensile Strength (TS). The modeling machine learning is designed using the Python programming language and additional libraries such as Pandas, Numpy, Scikit-learn, and Streamlit. The modeling in this study uses three algorithms consisting of Decision Trees (DT), Random Forest (RF), and Artificial Neural Network (ANN). Each algorithm is optimized with the best search parameters, and where the RF algorithm has better performance than DT and JST. The best modeling uses the RF algorithm with optimal parameters of number of trees at 20 and maximum depth of 10, with MAE values of 11.44, RMSE of 14.282, and R of 0.93 for Yield Strength (YS) predictions, and for Tensile Strength (TS) predictions, MAE values are obtained. 21,669, RMSE 27,301, and R 0.871. 
STUDI NUMERIK TURBIN ANGIN SAVONIUS: TORSI MEKANIK, DIAMETER POROS, DAN DAYA Filian Arbiyani; Fernando Pranata Lasut; Fransiskus Albert
Jurnal Rekayasa Mesin Vol. 14 No. 2 (2023)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v14i2.1378

Abstract

One of the renewable energy sources that can be used to generate electricity is wind energy. This research aims to numerically study the Savonius Vertical Axis Wind Turbine (VAWT) type to obtain the mechanical torque, load torque, shaft diameter, and the empirical equation showing the relationship between the mechanical torque and power generated. The numerical study employs MATLAB R2018a software with the parameters mechanical torque, load torque, and power. The obtained mechanical torque is also used to determine the design of the shaft diameter based on its maximum mechanical torque. From this numerical study, the value of mechanical torque is greater than the mechanical load, and it also obtains the empirical equation of the relationship between mechanical torque and power. Validation is carried out on the empirical equation with valid results as it has the ± 10% tolerance.  Furthermore, it is obtained that the design of the minimum shaft diameter of the wind turbine with PLA (Polylactic Acid) filament material is 2 mm. This Savonius turbine design can be used for placement on vehicles and in areas in Indonesia with low to high wind speeds with variations between 1 m/s – 17 m/s.
PENGARUH PAHAT ENDMILL NORMAL DAN VARIABEL HELIX ANGLE PADA METODE POCKET ZIG-ZAG TERHADAP CHATTER Venusa Abriandika; Achmad As’ad Sonief; Yudy Surya Irawan
Jurnal Rekayasa Mesin Vol. 14 No. 2 (2023)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v14i2.1419

Abstract

The manufacturing industry mostly uses CNC Milling machines in processing products that require high precision values. This machine is capable of a wide variety of feeding methods, inclinations, feed speeds, various tool styles, and much more. The purpose of this research is to analyze one method of infeed direction with the Zig-Zag effect by using 2 types of normal and variable tool types combined with variations in spindle speed and DOC to find out which variable is effective and produce a smoother comparison of surface roughness values. The type of material tested was SS 304 because this material has good advantages against corrosion. From the results of research conducted on this material for the use of a variable tool, it has an average roughness value of 0.327 µm and for the results of the roughness test on the use of a normal tool, it has an average roughness value of 0.470 µm. From the results of this research, it can be concluded that the value of the Depth Of Cut (DOC), the roughness value are directly proportional, and the faster the spindle rotation, the frictional force generated also increases. The highest Ra value from the research results occurred in DOC 1.6 mm with a spindle speed of 2750 rpm using a variable tool of 0.361 µm and a roughness value of 0.516 µm on a normal tool. The conclusion of this research is that the variable tool produces a lower Ra value than the normal tool so that the type of material defects caused by chatter vibration can be reduced. 
TINJAUAN PENGEMBANGAN MATERIAL BERBASIS BARIUM TITANAT, KOMPOSIT PVDF/BATIO3 DAN BATIO3/HAP UNTUK APLIKASI ELECTROSTATIC DIELECTRIC ENERGY STORAGE CAPACITOR Septian Rahmat Adnan; Budhy Kurniawan; Bambang Soegijono
Jurnal Rekayasa Mesin Vol. 14 No. 2 (2023)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v14i2.1423

Abstract

Barium titanate (BaTiO3) is ceramic material that is widely used in various applications..Electrostatic dielectric energy storage capacitor is one of the application of Barium titanate (BaTiO3) material. Composite materials based on barium titanate (BaTiO3) such as Polyvinylidene fluoride (PVDF)/BaTiO3 and BaTiO3/HAp Hydroxyapatite have been developed to improve the electrical properties of the materials. Many  research have been reported  hat barium titanate in nano phase has a maximum dielectric constant 5000 with particle size range of 30-50 nm. The addition of BaTiO3 composition as a filler to PVDF/BaTiO3 composite caused increasing of dielectric constant compared to the dielectric constant properties of the PVDF. Similar results also found on BaTiO3/HAp composite.  From this review, it was also found that the composite of these three materials is a candidate for future material to improve the electrical properties of PVDF which have been applied to electrostatic dielectric energy storage capacitor applications.
OPTIMASI DESAIN SUDU TURBIN DENGAN PADUAN SAVONIUS DAN DARRIEUS UNTUK MENINGKATKAN DAYA Dony Hidayat Al-Janan; Maulana Iwan Saputra
Jurnal Rekayasa Mesin Vol. 14 No. 2 (2023)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v14i2.1430

Abstract

In this study, the effectiveness of the combination of the Savonius and Darrieus wind turbines was investigated, which is a vertical axis wind turbine. The aim is to determine the optimal blade design and analysis of the combined blade design compared to the stand-alone design. The method used is CFD simulation to find the torque value used for power calculation. From all simulations, the highest torque and power occurred at a wind speed of 5.58 m/s. The simulation shows the Savonius, Darrieus, and Savonius-Darrieus combination turbine variations, - so then as result from the Savonius-Darrieus combination obtained the best results, namely the torque of 82.59 Nm and the power of 2194.41 W. In conclusion, the turbine model with a combined blade design produces better torque and power compared to stand-alone turbine models.
STUDI EKSPERIMENTAL GENERATOR ELEKTRIK BERBAHAN BAKAR BIOGAS GUNA MENDUKUNG NET ZERO EMISSION (NZE): Indonesia I Gede Artha Negara; A.A.N.B Mulawarman; I Gede Santosa; L.P. Ike Midiani
Jurnal Rekayasa Mesin Vol. 14 No. 2 (2023)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v14i2.1431

Abstract

Indonesia is a country that has large, widespread and diverse renewable energy potential that can support energy transition and achieve net zero emission (NZE) target by 2060 or sooner. This paper aimed to investigate characteristics of exhaust emissions and consumption fuel of biogas-fuelled electric generator. The biogas used comes from organic cow dung through an anaerobic fermentation process. About 40% vol. CH4 content observed in biogas. A 420 CC of single cylinder generator was used in this study. Based on the results, it can be seen that biogas exhaust CO emissions are relatively lower than gasoline. CO emissions are directly proportional to the electric load. The lowest CO2 emission was obtained at 4,7 % for biogas with 300 W electric load and 8,4 % for gasoline which is the highest emission. The concentration of hydrocarbons was observed to be 20 ppm for biogas while 64 ppm for gasoline with 300 W electric load. For the fuel consumption, biogas obtained relatively higher results than gasoline for each electric load.
PERANCANGAN ROBOT BERODA DENGAN SISTEM KENDALI BERBASIS IOT DAN GUI MENGGUNAKAN SMARTPHONE ANDROID Dony Hidayat Al-Janan; Gangsar Fadhil Muhammad
Jurnal Rekayasa Mesin Vol. 14 No. 2 (2023)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v14i2.1450

Abstract

A Wheeled Mobile Robot (WMR) is a robot that is often used for transporting a good in the industry. This study was conducted to integrate WMR with the Internet of Things (IoT) to control robots remotely, whereas wheeled robots with a DC motor driving power. Graphical User Interface (GUI) is applied for controlling this device via an Android smartphone. As a result; the robot can be driven via GUI commands with a forward speed = 0.535 m/s; reverse speed = 0.4 m/s; right-hand rotation speed = 25.2 rpm; left-hand rotation speed = 23.4 rpm. These robot performances are strongly influenced by the design, construction of the robot, the load received by the driving motor, and the capacity of the driving motor.
ANALISA UNJUK KERJA GENERATOR SET BERBAHAN BAKAR BIOGAS DARI LIMBAH RUMAH MAKAN Muhammad Rizqi Almuhtadee; Adi Setiawan; Alchalil Alchalil; Aljufri Aljufri
Jurnal Rekayasa Mesin Vol. 14 No. 2 (2023)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v14i2.1463

Abstract

Anaerobic digestion of biomass is a beneficial strategy for energy production as well as waste management system. Through the fermentation process, the sources of biomass such as domestic organic and restaurant wastes can be utilized to generate renewable energy. In this study, the biogas was produced from food waste to generate electricity. The performance of biogas-fueled generator sets was evaluated and compared with gasoline (pertalite) fuel at various electric loads. There are seven different load variations: idle, 100, 300, 500, and 700 Watts. Data was collected and analyzed using the combustion engine gas cycle theory. The biogas-fueled engine test results indicated that the brake power on average was 1.9 kW, or 65.6% of the maximum brake power specified by the engine manufactured. The average torque was 7.02 Nm, or 68.14% of the maximum torque that specified on the name plate. The average brake specific fuel consumption (BSFC) of biogas was 0.41 kg/kWh, while the BSFC of pertalite fuel was 0.168 kg/kWh. Compared to biogas fuel, the BSFC of pertalite is less with a difference of 0.242 kg/kWh. Overall, biogas produced from restaurant waste is technically feasible to be used as an alternative fuel for electric generator engine.
RANCANG BANGUN PROTOTIPE PREPARASI MATERIAL RESISTANCE SPOT WELDING Ariyanto Ariyanto; Iman Pradana A. Assagaf; Rifaldy Ramadhan Latief; Fajar Reski Maulana; Gusrifar Gusrifar; Muh. Aqdar Fitrah; Muhammad Ikhsan
Jurnal Rekayasa Mesin Vol. 14 No. 2 (2023)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v14i2.1466

Abstract

The manufacturing process in the automotive industry is in dire need of resistance spot welding machines. Because it was easier to use, highly effective, and effective in functioning. However, there were sometimes still connection problems that were still of poor quality, both nuggets and areas that are subject to electrode pressure. To get a quality welding connection, a machine was needed that was able to carry out good material preparation in the form of sanding, able to set the welding current analogously, able to set the time with an automatic timer, able to apply pressure on the electrode measurably during the welding process. The research aimed to design a prototype of resistance spot welding material preparation that could adequately carry out material preparation and welding using a Bluetooth system connected to a mobile phone. The research methods carried out were as follows: first, designing the machine using Autodesk Inventor software, then the device was made with a focus on material preparation prototypes, then the machine elements were made for the material clamping rail, then the machine elements in the control section using Bluetooth connected to the mobile phone, the machine was tested, then the connection quality testing process was carried out on the tensile testing machine. The results showed that the design results had been made using elbows and iron plates with threaded rails with a length of 650 mm, which became material clamping rail grooves with a drive using window motors controlled by Bluetooth on the Arduino circuit. The test results of welded joints show that the roughness is 0.20 μm which has the highest tensile strength.

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