Claim Missing Document
Check
Articles

Found 6 Documents
Search
Journal : Journal of Mechanical Engineering Science and Technology

Effect of Variation of SiC Mass Fraction on Mechanical Properties of Al-SiC Composite Using Stir Casting Method Sumarji Sumarji; Naufal Fardio Albajili; Mahros Darsin; Rahma Rei Sakura; Andi Sanata
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 6, No 1 (2022)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um016v6i12022p023

Abstract

Al-SiC is a composite composed of AA6061 as a matrix and SiC as a reinforcement particle. The variation of mass added will affect the mechanical properties of the composite because Al-SiC is hardenable, which means that its mechanical properties can be improved by adding the reinforcement component. However, an excessive portion of SiC leads to a decrease in mechanical properties. The purpose of this study was to find the optimal composition of the addition of SiC into the aluminium matrix to gain maximum tensile strength and hardness. The mass fraction variation that would be used in this composite was the addition of 6%, 8%, and 10% SiC with the addition of 1% Mg as a wetting agent. The mixing process used the stir casting method. The process of adding SiC and Mg was carried out by melting the aluminium while stirring it for a certain time before it went to the furnace. The ASTM E8/E8M standard was used for observing the tensile strength of the specimens. Machining was carried out before testing. The specimens were also tested for hardness using the Rockwell hardness method. The result shows that the addition of SiC at the amount of 6%, 8%, and 10% SiC increased the ultimate tensile strength by154.10 MPa, 175.01 MPa, and 198.14 MPa, respectively. Similarly, the hardness also increased up to 30.1 HRF, 48.1 HRF, and 66 HRF, respectively. Microstructure observation also confirmed that a 10% SiC fraction results in less defect and good wettability. The addition of 10% SiC and 1% Mg resulted in maximum tensile strength and hardness and the best microstructure.
The Effect of Nozzle Temperature, Infill Geometry, Layer Height and Fan Speed on Roughness Surface in PETG Filament Taqdissillah, Doohan; Muttaqin, Aris Zainul; Darsin, Mahros; Dwilaksana, Dedi; Ilminnafik, Nasrul
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 6, No 2 (2022)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um016v6i22022p074

Abstract

3D printing is a process of making three-dimensional solid objects from a digital file process created by laying down successive layers of material until the object is created. Many filaments can be used in 3D printing, one of which is PETG (PolyEthylene Terephthalate Glycol). PETG is a modification of PET (PolyEthylene Terephthalate) with added glycol at a molecular level to offer different chemical properties that provide significant chemical resistance, durability, and excellent formability for manufacturing. This study aims to find the most optimal parameter of surface roughness of PETG with different parameters of nozzle temperature, infill geometry, layer height and fan speed. Taguchi L16 (44), with four levels for each parameter, was used to determine the effect of each parameter. Each experiment was repeated five times to minimize the occurrence of errors. Based on the result, the effect of each parameter is nozzle temperature at 4.9%, infill geometry at 5.9%, layer height at 82.3%, and fan speed at 4.6%. Layer height has the highest effect on surface roughness, and other parameters have a low effect, under 7%. Research shows that the optimal combination of parameters is a nozzle temperature of 220 °C, infill geometry zig-zag, layer height of 0.12 mm, and a fan speed of 80 %.
Implementation of Internet of Things (IoT) in a Plastic Blow Moulding Machine and Its Performance Measurement Faqih, Muhammad Fadhlurrohman; Darsin, Mahros; iMuttaqin, Aris Zainul; Yudistiro, Danang
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 5, No 2 (2021)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um016v5i22021p096

Abstract

Efficiency and effectiveness are indispensable things in the production process. Accurate use of existing resources and the shorter cycle time of production are of particular concern to optimize the production process. This research aims to implement automation to a conventional blow molding. An advanced attempt was carried out to use the Internet of Things (IoT) to increase its efficiency while maintaining the quality of the products. The use of the nodeMCU microcontroller and the blynk application allows the operator to operate the machine without having to come into or having direct contact with the machine. The performance of automation and IoT were tested by examining the products using Taguchi design using quality criteria of nominal the best. The efficiency of the system was also considered by comparing the cycle production time. S/N ratio of Taguchi analysis showed that the optimum volume of the bottle would be achieved when applying the temperature, injection time, and holding time of 190 oC, 14 minutes, and 5 minutes respectively. The error or deviation is only 0.41%. The application of the IoT system takes 34.45 seconds for a cycle time production, which is 3.76 seconds faster than a conventional system.
Optimization of the Number of Cylinder Blades in Coffee Pulper Machine: Finite Element Analysis and Simple Additive Weighting Methods Syahriza, Mochamad Rifki; Djumhariyanto, Dwi; Ilminnafik, Nasrul; Darsin, Mahros; Yudistiro, Danang; Basuki, Hari Arbiantara; Wibowo, Robertoes Koekoeh Koentjoro; Syuhri, Ahmad; Sumarji, Sumarji
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 8, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um016v8i22024p476

Abstract

The increasing interest in coffee in all circles means that coffee production and quality must always increase due to consumer demands. One way to maintain the quality of coffee beans is by breaking them down using a huller machine. This research aims to improve the optimization of coffee machines by modifying the cylinder blades of huller machines with variations of 3, 4, 5, and 7 cylinder blades in terms of static loading design and quality and production capacity of coffee bean breaking. The experiment was carried out using 400 rpm and breaking 10kg of dry coffee cherries every time the sample was taken. The research results show that the best sample collection is the variation of 3 cylindrical blades with the maximum stress and lowest deformation values of 6.67 MPa and 0.000737 mm. In terms of production quality, it shows that the best sampling was the three cylindrical blade variations with 50% whole and good coffee beans. In terms of production capacity, the most significant capacity was the seven cylindrical blade variations with a value of 294.11 kg/hour. Sampling from the four most optimal variations uses the SAW (Sample Additive Weighting) method. The most optimal result from the 4 test criteria, the variation of 3 cylindrical blades is the best because it has the highest score with a value of 0.9754.
Analysis of Titanium Mesh Ti6Al4V Formation Using Die Press Forming Machine for Cranioplasty Rizal, Ahmad Ayyub Syaiful; Darsin, Mahros; Wibowo, Robertoes Koekoeh K.; Anam, Khairul
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 8, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um016v8i22024p445

Abstract

Cranioplasty is required for patients with head defects, where the deformed part of the head is replaced with Ti6Al4V titanium wire implants. The titanium wire forming process is usually done manually, which can take a long time and give results that do not match the anatomical shape of the head. Therefore, it is important to develop domestic technology that can produce titanium wire automatically. This study aims to analyze the frame and mold of the automatic wire mesh molding machine before production. The tool is made using press forming method and finite element analysis with ANSYS software. The machine frame is made of 304 stainless steel material, while the mold uses ABS material. The analysis was performed with a constant load force of 100 N, corresponding to the maximum reading on the load cell. The simulation results show the deformation, strain, and von Mises stress of the machine frame and punch model, which are still far below the plastic deformation and UTS values of the material. However, the analysis results on the Ti6Al4V titanium die and mesh exceeded the UTS of the material in the cutting edge area of the die. Nevertheless, the die model can still be used because the maximum stress point is located at the edge of the die design area, where the titanium mesh will be cut when applied to the patient's skull implant. The results of this study are expected to help medical personnel in skull implant surgery and analysis of press machine manufacturing.
Investigation of Drag Force and Downforce on Two Racing Motorcycles in Slipstream Conditions Hanifudin, Muhamad; Jatisukamto, Gaguk; Darsin, Mahros; Kustanto, Muh. Nurkoyim; Saleh, Azmi; Prasetyono, Suprihadi; Sarwono, Catur Suko
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/um016v9i12025052

Abstract

The performance of modern racing motorcycles is greatly influenced by their aerodynamics. Slipstreaming occurs during a race when a rider closely follows another, especially on a straight track. The effect can reduce aerodynamic drag and increase the overall speed of the rider behind. This study investigates the aerodynamic effects of slipstreaming on a racing motorcycle using computational fluid dynamics. This study also considers its effect on both drag force and downforce, which affects motorcycle stability. A 3D CAD model of a racing motorcycle and a rider in a crouching position was used as the object of research. CFD simulations were carried out using the RANS Steady State solver with the k-ω-SST turbulence model. The simulations evaluated the effect of varying distances between motorcycles on slipstream performance, as well as varying motorcycle speeds. The results show the effect on drag force and downforce for the trailing motorcycle. This is due to the shielding effect of the motorcycle in front, which creates a low-pressure zone behind it. Additionally, the turbulence behind the racing motorcycle also affects its downforce. Optimizing the distance between motorcycles in the slipstream allows riders to improve overtaking performance. It also reduces adverse effects on motorcycle stability caused by the slipstream's influence on downforce. Furthermore, it can be used to develop aerodynamic modifications to racing motorcycles that can utilize the slipstream more effectively.
Co-Authors ,, Sumarji Agil Widhy Azizi Agus Triono Ahmad Adib Rosyadi Ahmad Iqbal Fawaid Ahmad Rendi Maulana Ahmad Syuhri Al Wafi, Adib Aldiro, Firdhi Januar Ales, Steve Korakan Alfi Hasan Anam, Khairul Andi Sanata Angger Sudrajat Angger Sudrajat, Angger Antonius Cahya Prihandoko Aprillia, Dita Aris Zainul Muttaqin Ariyo Anindito Asrofi, M Azhari, Nadila Laila Azmi Saleh Bambang Irawan Basuki , Hari Arbiantara Boy Arief Fachri Cahya Alief Prasetyo Cahya Alief Prasetyo Cahyadi, Tedi Setiawan Catur Suko Sarwono Chatarina Umbul Wahyuni Chen, Zhan Clarissa Putri Sholeha Danang Yudistiro Danang Yudistiro, Danang Yudistiro Danny Febriansyah Dedi Dwilaksana Deny Tomy Andrianto Digdo Listyadi, Digdo Dinata, Gerry Gardika Surya Doddy Parningotan Dwi Djumhariyanto Dwi Hidayatul Qoryah, Rika Efendi , Moh Riski Elhamzah, Denaldy Elza Setya Faqih, Muhammad Fadhlurrohman Faradin Adyatama Faris Ahmad Junaedi Fatkhur Rohman Firman Gustiawan Gaguk Jatisukamto Hadi Samsul Halmi Palwa Guna Hanifudin, Muhamad Hardiatama , Intan Hari Arbiantara Hari Arbiantara Basuki Hari Arbiantara, Hari Hary Sutjahjono Hayun Indra Nur Iman Hermawan , Yuni Hutama, Tri Surya Ilminafik, Nasrul Imam Rudi Sugara Imam Sholahuddin Indra Surya Iwanata Intan Hardiatama Ismono, Firman Ema Jatisukamto , Gaguk Joni Anggianto Khamdan Khavivi Kusno Kusno Kustanto, Muh. Nurkoyim Kustanto, Nurkoyim Laily Ilman Widuri Luviandy, Allen Miftakhul Rohman Mochamad Asrofi Mochamad Edoward Ramadhan Mochamad Edoward Ramadhan Mochamad Edoward Ramadhan Mochammad Edoward Ramadhan Mohammad Firman Mohammad Firman, Mohammad Muh Nurkoyim Kustanto Muhammad Dimyati Nashrullah Muhammad Ghilman Badri Muhammad Ghilman Badri, Muhammad Ghilman Muhammad Mukti Ali Muhammad Nur Cahyo Hidayat Nasrullah Muhammad Sholihul Amin Muhammad Trfiananto Muhammad Trifiananto Nasrul Ilminnafik Naufal Fardio Albajili Nikmah, Nailu Kotrin Nugraha, Dicky Aprilian Nurhasanah Nurhasanah Nurkoyim Kustanto, Muh Pasang, Timotius Pieter Muhammad Iko Marrendra Prakoso, Muhammad Ihsan Prayogo Alim Pangestu Puranggo Ganjar Widityo Putra, Tri Wirayuda R. Koekoeh Koenjtoro Wibowo Rahma Rei Sakura Raihaan . Ramadhan, Ivan Fadilla Renald Rochman Mauludy Rika Dwi Hidayatul Qoryah Rizal, Ahmad Ayyub Syaiful Rizaldy, Nicholas Robertoes Koekoeh Koentjoro Wibowo Robertus Sidartawan Rossy, Rio Martha Febriana Rudi Sugara, Imam Sains Ilham Akbar Salahuddin Junus Salman Al Farisi Siregar Salmansyah, Dathantara Samsuri . Santoso Mulyadi Sari, Herninda Ayu Meylinda Soesatijono Soesatijono Soesatijono Soesatijono Sukma, Kinanti Wilujeng Sumarji Sumarji Susanti, Rizqa Putri Syahriza, Mochamad Rifki Syuhri, Skriptyan Noor Hidayatullah Taqdissillah, Doohan Timotius Pasang TRI HANDOYO Tri Surya Hutama Triana Lindriati W.C.S, I Made Ivan Wardatul Jannah Wazirotus Sakinah Wibowo, Robertoes Koekoeh K. Wibowo, Robertoes Koekoeh Koentjoro Wulandari, Rista Dea Yahya, Hafiz Indratma Yohan Rizal Kharisma Yulianasari, Resha Dhiah Eka Yulio, Agit Yoga Yuni Hermawan Yusron Maulana, Raden Muhammad Zhan Chen