The Increase of Efficiency in Robusta Green Coffee Bean Size Sorting Machine by Response Surface Methodology

Chanpaka, Watcharapong; Srisang, Naruebodee; Dangwilailux, Panya; Chungcharoen, Thatchapol

doi:10.1088/1742-6596/1519/1/012011

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…The effect of a well-working classifier is to produce a coffee bean size distribution that is close to the distribution obtained manually [32]. According to Chanpaka et al [33], the effectiveness of classifiers tends to be lower at high capacities, so it is necessary to choose the rotation speed of the driving force, and the sifting angle, to produce high work capacity and uniform quality of results.…”

Section: Introductionmentioning

confidence: 82%

Design and Performance Test of the Coffee Bean Classifier

et al. 2021

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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.

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Section: Introductionmentioning

confidence: 82%

Design and Performance Test of the Coffee Bean Classifier

et al. 2021

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“…The effectiveness of a good working classifier is to produce a coffee bean size distribution that is close to the distribution obtained manually [32]. According to Chanpaka et al [33], the effectiveness of classifiers tends to be lower at high capacities, so it is necessary to choose the rotation speed of the driving force and sifting angle to produce high work capacity and uniform quality of results.…”

Section: Introductionmentioning

confidence: 89%

Design and Performance Test of the Coffee Bean Classifier

Ansar¹,

Sukmawaty²,

Murad³

et al. 2021

Preprint

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Nowadays, some coffee production centers are still classification manually, so it requires a very long time, a lot of labor, and expensive operational costs. Therefore, the purpose of this research was to design and performance of the coffee bean classifier that can accelerate the process of classification beans. The classifier used consists of three main parts, namely the frame, driving force, and sieves. Research parameters include 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 found at a rotational speed of 91.07 rpm and a 16° sieves 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 sieves was 28.12%, and the third sieves was 15.11%. The efficiency of using a classifier was found at a rotating speed of 91.07 rpm and a sieves angle of 16°. This classifier was simple in design, easy to operate, and can sort coffee beans into three classification, namely small, medium, and large.

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“…The peeled coffee pods become rotten and smelly for a long time, (b) people are not familiar with coffee bean technology. The process of sorting the size of coffee beans to increase the added value of coffee beans [4], is still very traditional so it requires more time and effort, (c) so far, the process of removing the coffee bean skin is carried out in large milling factories. It has several weaknesses, including; cannot be used for small capacities, grinding is not done every day, the coffee produced by the mill is often mixed with other owners, it takes time to bring it to a factory that is quite far away, and the cost of grinding is expensive.…”

Section: Introductionmentioning

confidence: 99%

Design Of a Dry Coffee Bean Shell Separation Machine Model To Increase Productivity

Suarbawa,

Mulawarman,

Pujihadi

2024

SHS Web Conf.

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The research objective of designing a coffee bean skin separator model is to increase work productivity in the ergonomic dry coffee bean skin separation process. The way this dry coffee peel separator machine works is that the steel plates will rotate each other at certain gaps so that they can rub the coffee until it peels off. The design of this dry coffee bean peeling machine is adjusted to the results of anthropometric data measurements. In the previous coffee skin splitting process using an old-fashioned coffee peeler machine where the coffee beans were put in the inlet without sorting the coffee sizes, all coffee sizes were put in to be processed in the machine. Then the peeling plate gap is adjusted and the medium size is selected. As a result of stripping, it was obtained that almost 50% of the coffee beans had not been peeled off, and had to be put back in again. Besides that, the results of the stripping were still mixed with the dirt skin, so it needed to be processed again to clean the coffee. The results of testing the performance of the old model of the peeler with the new model of the improved peeler obtained an increase in performance or an increase in productivity. Increased work capacity of the dry coffee peeler (Kp) = (153.84 -17.24) / 17.24 = 176.88%, while the increase in the quality of well-exfoliated coffee beans (Kw) is = (90.74 – 85 .41)/85.41 = 6.24% thereby increasing productivity.

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The Increase of Efficiency in Robusta Green Coffee Bean Size Sorting Machine by Response Surface Methodology

Cited by 4 publications

References 2 publications

Design and Performance Test of the Coffee Bean Classifier

Design and Performance Test of the Coffee Bean Classifier

Design and Performance Test of the Coffee Bean Classifier

Design Of a Dry Coffee Bean Shell Separation Machine Model To Increase Productivity

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