Article Per Year (5 Year)
p-Index From 2021 - 2026
1.99
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Teknosains SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin Rekayasa Mesin ROTOR: JURNAL ILMIAH TEKNIK MESIN R.E.M (Rekyasa Energi Manufaktur) Jurnal Journal of Mechanical Engineering Science and Technology STATOR: Jurnal Ilmiah Mahasiswa Teknik Mesin Jurnal Energi dan Teknologi Manufaktur Jurnal Polimesin
Aris Zainul Muttaqin
Staf Pengajar Jurusan Teknik Mesin Fakultas Teknik Universitas Jember
Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

Published : 28 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Mechanical Engineering Science and Technology

 1 
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.
Co-Authors Adhe Reza Firmansyah Agus Triono Ahmad Al Kautsar Ahmad Al Kautsar Ahmad Mahrus Ahmad Syuhri Al Wafi, Adib Anam, M. Khairul Andi Sanata Ardhiansyah, Dheny Dwi Ardila Dwi Tresna Arief Ginanjar Dirgantara Ayu Martha Lestari Badrul Hadi Badrul Hadi, Badrul Boy Arief Fachri Castellini, Claudio Danang Yudistiro Dedi Dwilaksana Digdo Listyadi, Digdo Dinata, Gerry Gardika Surya Dwi Djumhariyanto Edoward Ramadhan, Mochamad Faqih, Muhammad Fadhlurrohman Feri Setya Putra Feri Setya Putra, Feri Setya Firdausyah, Nalurita Gaguk Jatisukamto Hana Sasono, Muchamad Arif Hari Arbiantara Harizalni SE Harizalni SE, Harizalni Havid Arifian Rochman Imam Sholahuddin Imam Sholahudin Intan Hardiatama khoirul fahmi aziz Khoirur Rohman Kustanto, M Nurkoyim Lazuardi Rahmadhani M Edoward Ramadhan M Nurkoyim Kustanto M Trifiananto M. Angga Saputra M. Edoward R. M. Trifiananto Mahros Darsin Mochamad Edoward Ramadhan Mochamad Edoward Ramadhan Muhammad Dimyati Nashrullah Muhammad Trfiananto Muhammad Trifiananto Nanda Imron, Arizal Mujibtamala Nasrul Ilminnafik Rendi Prisma Wahyudi Rika Dwi Hidayatul Qoryah Rizal, Naufal Ainur Salahuddin Junus Salahudin Junus Santoso Mulyadi Sumardi . Sumarji Taqdissillah, Doohan Yohan Rizal Kharisma