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Analisis Potensi Kerusakan Akibat Erosi pada Cyclone Separator Akibat Aliran Pasir Steel Grit dengan Metode Computational Fluid Dynamics Alfan Fauzi Ahmad; Nurmala Dyah Fajarningrum; Raka Mahendra Sulistiyo; Arif Rahman Saleh
J-Proteksion: Jurnal Kajian Ilmiah dan Teknologi Teknik Mesin Vol. 10 No. 2 (2026): J-Proteksion
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/jp.v10i2.4313

Abstract

Proses sand blasting merupakan salah satu tahap penting di PT INKA (Persero), yaitu penyemprotan material abrasif seperti aluminium oxide atau steel grit bertekanan tinggi untuk membersihkan permukaan logam dari karat dan cat lama. Proses ini menghasilkan partikel debu yang ditangani menggunakan sistem dust collector dengan cyclone separator. Namun, ditemukan kebocoran pada dinding cyclone akibat erosi partikel steel grit yang berpotensi mencemari lingkungan dan mengganggu kesehatan. Penelitian ini menganalisis pengaruh kecepatan partikel terhadap laju erosi pada cyclone separator menggunakan metode Computational Fluid Dynamics (CFD) dengan Ansys 2025/R1. Simulasi dilakukan menggunakan model erosi Generic yang dikombinasikan dengan pendekatan model Oka untuk merepresentasikan pengaruh kecepatan dan sudut tumbukan partikel terhadap material dinding. Hasil menunjukkan bahwa laju erosi meningkat seiring kenaikan kecepatan partikel, dengan nilai masing-masing 0,291; 0,317; dan 0,349 mm/tahun pada kecepatan 5, 10, dan 15 m/s. Sebaliknya, life time berkurang menjadi 34,4; 31,8; dan 28,6 tahun. Pengendalian kecepatan aliran partikel penting untuk memperpanjang life time cyclone separator serta mencegah terjadinya kebocoran dan pencemaran lingkungan kerja.
Analisis Hasil Pencacahan Sampah Rumah Tangga Menggunakan Mesin Depackaging Waste Tipe Hammer Mill Melalui Simulasi CFD-DEM Hafidh Ihwanul Isro; Arif Rahman Saleh; Nurmala Dyah Fajarningrum
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 4 No. 2 (2026): April : Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v4i2.1562

Abstract

separating and shredding organic and inorganic waste. This study aims to analyze the process of shredding household waste using the Computational Fluid Dynamics–Discrete Element Method (CFD-DEM) and determine the optimal operational parameters based on variations in rotor speed. The research method uses numerical simulation with SolidWorks 2024 software for geometric modeling and Ansys Rocky 2023 R1 for CFD-DEM simulation. The rotor speed variations used are 1000 RPM, 2500 RPM, and 4000 RPM with a mass flow rate of 4 tons/hour and a simulation duration of 2 seconds. The parameters analyzed included particle mass flow rate, shredding characteristics, and power consumption. The simulation results showed that a speed of 1000 RPM produced the most optimal performance with a maximum capacity of ±4 tons/hour and a stable shredding response compared to other variations. At 2500 RPM, there were high fluctuations with low capacity (±0.6 tons/hour), while at 4000 RPM, the capacity was moderate (±1.1 tons/hour) but still did not exceed the performance of 1000 RPM. Based on these results, it can be concluded that a rotor speed parameter of 1000 RPM is the most effective condition for improving the grinding efficiency and production capacity of a hammer mill-type Depackaging machine based on CFD-DEM simulation.
SELEKTIVITAS HIDROKARBON PADA SINTESIS FISCHER–TROPSCH BERBASIS SYNGAS KULIT KOPI MENGGUNAKAN SOFTWARE ASPEN PLUS Benazir Zulfana Anwar; Arif Rahman Saleh; Rany Puspita Dewi; Tri Retno Setiyawati
ELEMEN : JURNAL TEKNIK MESIN Vol. 13 No. 1 (2026)
Publisher : POLITALA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/je.v13i1.418

Abstract

Indonesia’s continued dependence on non-renewable fossil energy sources contrasts with the underutilization of New and Renewable Energy (NRE), despite its abundant resource availability. One promising yet underexploited NRE source is coffee husk biomass, which is generated in large quantities as a by-product of plantation activities. This study aims to analyze hydrocarbon selectivity in the Fischer–Tropsch (FT) synthesis process using syngas derived from coffee husk gasification through thermochemical modeling in ASPEN Plus. Simulations were conducted at an operating temperature of 240ºC and a pressure of 25 bar using various thermodynamic methods. The results indicate that the product distribution is dominated by heavy hydrocarbons (C₅⁺), with selectivity values of 9.881% for the Grayson model, 5.341% for BK10, and the highest value of 1.333×10¹% obtained using the Peng–Robinson equation of state, while light hydrocarbons exhibit selectivity in the order of 10⁻⁶–10⁻³. The Peng–Robinson model demonstrates the most representative performance for predicting liquid heavy hydrocarbons from biomass-based Fischer–Tropsch synthesis.