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All Journal Jurnal Konversi Energi dan Manufaktur MACHINERY: Jurnal Teknologi Terapan
Fauzi, Muhammad Burhanuddin
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Aerospace Engineering Automotive Engineering Control & Systems Engineering Energy Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Heat Pump Drying of Arabica Coffee Beans: Influence of Inlet Air Conditions on Drying Rate Constant Hanifah, Muhamad Abu; Kosasih, Engkos Achmad; Fauzi, Muhammad Burhanuddin
Jurnal Konversi Energi dan Manufaktur Vol. 10 No. 2 (2025)
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JKEM.10.2.5

Abstract

Drying is a crucial step in agricultural processing as it reduces moisture content, extends shelf life, and preserves product quality. For heat-sensitive Arabica coffee beans, heat pump drying (HPD) is an efficient and energy-saving method. This study investigates the drying characteristics of wet Arabica coffee beans using an HPD system, focusing on determining the drying rate constant (k) at various inlet air temperatures and humidity conditions. The drying process was conducted for 30 minutes at a constant air mass flux rate of 0.69 kg/m²-s at temperatures of 45, 50, 55, 60, and 65°C. Inlet air conditions were controlled with a cooling system at 10, 15, and 20°C, compared to ambient air without cooling. The results showed that increasing drying temperature and decreasing inlet air humidity significantly enhanced the drying rate. Additionally, the study explored the relationship between the constant air mass flux and variable parameters, including air temperature and humidity, which directly affected the drying rate constant (k). The highest k value (17.66 × 10⁻⁵ s⁻¹) was observed at 65°C with air from the cooling system at 10°C, indicating that combining high temperature and dry air improves drying efficiency.
OPTIMISASI MULTI-OBJEKTIF PADA KINETIKA PENGERINGAN KABINET SURYA Dzaky, Muhammad Irfan; Fauzi, Muhammad Burhanuddin
MACHINERY Jurnal Teknologi Terapan Vol. 3 No. 3 (2022): Machinery: Jurnal Teknologi Terapan
Publisher : Politeknik Negeri Sriwijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.7246820

Abstract

Drying is one method to increase the storage time of organic materials such as fruit, seeds and vegetables. The cheapest drying method that can be used is to use heat from the sun. The research carried out is to optimize the existing drying system using Design Expert software and MATLAB using the Multiobjective optimization genetic algorithm (MOGA) method. Based on the optimization that has been done, it can be concluded that the optimization results related to drying variables are flow rate, heat applied, drying load, and thickness which are seen based on the results of the minimum drying kinetics value and the minimum drying time on DE-MOGA, TOPSIS drying value. time (f1) is 35613.9 seconds and drying constant (f2) is 6,125 x 10-5 1/second with parameter flow rate (x1) is 0,037178 kg/second, heat input (x2) is 640,036 W/m2, loading density (x3) is 1.418 kg/m2, and thickness (x4) is 0.00662 m. The results of this optimization are very important to obtain optimal drying production results and the existing data can be used for design on other materials.
Co-Authors Engkos Achmad Kosasih Hanifah, Muhamad Abu Muhammad Irfan Dzaky