Design and Performance Test of the Coffee Bean Classifier

Ansar, A and Sukmawaty, Sukmawaty and Murad, Murad and Muttalib, Surya Abdul and putra, Riyan Hadi and Abdurrahim, Abdurrahim (2021) Design and Performance Test of the Coffee Bean Classifier. Processes 2021, 9(8), 1462.

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Official URL: https://www.mdpi.com/2227-9717/9/8/1462

Abstract

Currently, some coffee production centers still perform classification manually, which requires a very long time, a lot of labor, and expensive operational costs. Therefore, the purpose of this research was to design and test the performance of a coffee bean classifier that can accelerate the process of classifying beans. The classifier used consisted of three main parts, namely the frame, the driving force, and sieves. The research parameters included classifier work capacity, power, specific energy, classification distribution and effectiveness, and efficiency. The results showed that the best operating conditions of the coffee bean classifier was a rotational speed of 91.07 rpm and a 16° sieve angle with a classifier working capacity of 38.27 kg/h: the distribution of the seeds retained in the first sieve was 56.77%, the second sieve was 28.12%, and the third sieve was 15.11%. The efficiency of using a classifier was found at a rotating speed of 91.07 rpm and a sieve angle of 16°. This classifier was simple in design, easy to operate, and can sort coffee beans into three classifications, namely small, medium, and large.

Item Type: Other
Keywords (Kata Kunci): classifier, coffee beans, efficiency, specific energy, sieves
Subjects: S Agriculture > S Agriculture (General)
Divisions: Fakultas Teknologi Pangan dan Agroindustri
Depositing User: Sukmawaty Sukmawaty
Date Deposited: 23 Jun 2023 05:24
Last Modified: 23 Jun 2023 05:24
URI: http://eprints.unram.ac.id/id/eprint/40246

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