Design, Development and Evaluation of a Size Grading Machine for Onion

Gunathilake, D.M.C. Champathi; Wasala, W.M.C.B.; Palipane, K. B.

doi:10.1016/j.profoo.2016.02.022

Cited by 17 publications

(15 citation statements)

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“…The same trend occurs at the sieves angle of 13° and 16° (Figure 3). This result is in line with the research report by Gunathilake et al [21] that the best classifier working conditions are those that give the smallest seed size distribution deviation compared to the seed size distribution obtained from manually graded beans. The rotation speed of the driving force (rpm)…”

Section: Distribution Of Classification Resultssupporting

confidence: 92%

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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Section: Distribution Of Classification Resultssupporting

confidence: 92%

Design and Performance Test of the Coffee Bean Classifier

Ansar¹,

Sukmawaty²,

Murad³

et al. 2021

Preprint

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“…However, these trends were reversed when the inclined angle and oscillating speed reached a certain value. This could be explained that too much inclined angle and oscillating speed would lead to excess movement speed of green coffee bean, leading to the higher incorrect category dropping, and resulting in the decrease of size grading efficiency [7,8].…”

Section: Discussionmentioning

confidence: 99%

Optimization of sorting efficiency of size grading machine using oscillating sieve with swing along width direction

et al. 2019

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Grading according to the sizes is an important value adding technique for Robusta green coffee bean. Mechanical grading can increase the sorting efficiency and the need for workers is decreased. Therefore, the sorting efficiency of size grading machine was optimized based on inclined angle and oscillating speed. The Response Surface Methodology (RSM) combined with central composite design (CCD) was applied in the optimization of the sorting efficiency of the machine. A quadratic model was suggested for the sorting efficiency of size grading machine. The results showed that the optimum operating parameters for size grading machine using oscillating sieve with swing along width direction were inclined angle of 5.06 degree and oscillating speed of 183.28 rpm with a sorting efficiency of 79.99%. The high correlation coefficient (R2 = 0.9676) indicated that the data predicted using RSM were in good agreement with the experimental results.

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“…Lack of national standards, poor enforcement of standards, skill, awareness/ financial resources for grading products etc also contribute to present higher degree of post-harvest losses. 29,30 Grading is a critically important process that produce an aspect of quality, which is often judged on the basics of uniformity, and it presents a standard for product handling (i.e. unitization) and marketing.…”

Section: Sorting and Gradingmentioning

confidence: 99%

Reducing post-harvest losses in fruits and vegetables for ensuring food security – Case of Sri Lanka

Rajapaksha¹,

Gunathilake²,

Pathirana³

et al. 2021

MOJFPT

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In Sri Lanka, 70% of 21 million population live in non-urban areas, and agriculture provides livelihood for approximately 40% of them. The agricultural marketing process in the country is a complex operation due to services and functions involved in moving a crop product from where it was produced to where it would finally be consumed. Further, with a wide range of agricultural crops being produced, post-harvest handling process create different degrees of quantitative and qualitative losses in a complex market chain, which are estimated at 20% to 40% for vegetables and 30% - 40% for fruits. Improper and non-scientific post-harvest practices and handling, gaps in integration of cold chain practices & elements with post-harvest process, and lack of knowledge & awareness on many related aspects at grass root farmer level etc. appear to contribute to losses that finally prevent due economic benefits reaching the small-scale producer. In order to increase the effectiveness of post-harvest process handling of fruit and vegetables, appropriate corrective measures targeting small scale producers as well as commercial scale producers need to be popularized and practiced. At small scale producer level, promotion of appropriate low-cost post-harvest practices and procedures, facilitating low-cost cold chain elements and user-friendly information flow mechanism on market situation would certainly help avoid some of the steps that lead to losses. Monitoring system of commercial post-harvest handling process that ensure scientific bulk handling, storage and transportation of fruit and vegetables, properly designed economic centers with well regulated environmentcontrolled storages etc. would greatly reduce loses in bulk handling, ensuring better food security in the island.

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Design, Development and Evaluation of a Size Grading Machine for Onion

Cited by 17 publications

References 0 publications

Design and Performance Test of the Coffee Bean Classifier

Design and Performance Test of the Coffee Bean Classifier

Optimization of sorting efficiency of size grading machine using oscillating sieve with swing along width direction

Reducing post-harvest losses in fruits and vegetables for ensuring food security – Case of Sri Lanka

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