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All Journal Rekayasa Mesin Machine : Jurnal Teknik Mesin Jurnal Rekayasa Hijau Jurnal Rekayasa Energi dan Mekanika METAL : Jurnal Sistem Mekanik dan Termal Aceh International Journal of Science and Technology
Alfan Ekajati Latief
Institut Teknologi Nasional Bandung
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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DESIGN OF NATURAL FIBER POWDER MACHINE Latief, Alfan Ekajati; Ali, Ali; Nassem, Zidane; Ramadan, Riski Gunarto
Jurnal Rekayasa Mesin Vol. 15 No. 1 (2024)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v15i1.1482

Abstract

Natural fiber processing is the type of fiber as raw materials for textile or other industries that can be obtained directly from nature. In the Indonesian automotive industry, the manufacture of parts in vehicles is Polypropylene high impact (PPHI). An example of an existing part is a CVT slide piece made with a mixed polymer composite material from PPHI and pineapple leaf fiber. Pineapple leaf fibers with small sizes are needed so that the mixing of polymer composites is good. Therefore modern technology is required to process pineapple leaf fibers. This final project makes a natural fiber powder machine for processing natural fiber, namely scavenging. The research methodology used is a prescriptive design method. The design results produce a natural fiber powder machine (pineapple leaf fiber) for polymer composite materials with long size specifications of 420 mm long, 300 mm wide, and 582 mm high. The production capacity of the natural fiber storage machine is 5 kg/h. The source of the engine drive is a 1 HP AC electric motor with a rev of 2800 rpm. The transmission system uses a V-belt with a drive shaft 30 mm in diameter. The frame construction is made of a 35x35x5 mm profile with ST42 material and knives using S45C material (AISI 1045) with a thickness of 10 mm. It uses nine dynamic blades and six sharp plane fixed blades in a 30-degree active blade and a 60-degree fixed blade.
Designing CVT Slide Piece Molds for Cavity 24 Pieces on Injection Molding Machine Latief, Alfan Ekajati; S., M. Pramuda Nugraha; S., Adimas Prasetyo; Prianto, Ramdan; Sarmada, Sarmada; Irfan, Laode Mochamad
METAL: Jurnal Sistem Mekanik dan Termal Vol. 8 No. 2 (2024): Jurnal Sistem Mekanik dan Termal (METAL)
Publisher : Department of Mechanical Engineering, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/metal.8.2.56-62.2024

Abstract

Composite materials are often used in the industrial world, one of which is in the automotive industry. Material composite based on polypropylene high impact (PPHI) and natural fiber can be used to create slide piece components on the CVT of automatic motor vehicles. In this study, we will design molds from injection molding on an industrial scale en masse, producing a slide piece product made from composite materials. This research is a development of the previous injection molding mold. In the study, the solidworks software will compare three types of multi-cavity, namely circular, series, and parallel, to get more efficient and effective molds. This multi-cavity type is designed to print PPHI material and pineapple fiber with a volume fraction of 20% and a mesh of 170. The mold material designed is made of stainless steel 2316 for cavity and core parts with a size of 180mm x180mm. Using simulation plastic on solidworks, the simulation results obtained a type of circular type that can be applied to injection machine molds because it has the most effective pressure value of 4.8 MPa and its geometric shape. Then obtained a fill time of 1,89s and volumetric shrinkage at the end of fill at a max of 17.56%, which is more efficient.
Co-Authors Abdul Hamid Ahmad Dzilfairuz Zaidan Ahmad Dzilfairuz Zaidan Akbar, Sobari Ali Ali Alvin Rhamdani Anggraeni, Nuha Desi Azis, Iqbal Lutfil Cahyadi Suheri Dedy Hernady Febriyanto, Naufal Dwi Fitri*, Muhamad Hernady, Dedy Hidayat, Ery Ichsan Putera Irfan, Laode Mochamad Jaka Rahmadi Kurnia Hendriawan Lutfi Darusman M. Diaz Fajar Ismail Muhammad Azis Mahardhika Muhammad Khaidar Rachman Nassem, Zidane Naufal Raihan M Nuha Desi Anggraeni Pikri Ilham Jauhari Pratama, M. Rezki Pratama, Muhammad Rezki Prianto, Ramdan Rakean Wide Windujati Ramadan, Riski Gunarto Robby Rinaldi Sandi S., Adimas Prasetyo S., M. Pramuda Nugraha Sarmada, Sarmada Satria Budhi Dharma Sirodz, Muhamad Pramuda Sirodz, Muhammad Pramuda Sudarma, Andi Firdaus Surya Jati, Stenlly Damar Syahril Sayuti Tri Sigit Purwanto Wibowo Pria Fahla Wildhan Rhamdani