Skip to content
Research Article Open access CC BY 4.0

Design and Development of a Castor Seed Shelling and Separation Machine with Finite Element Analysis of the Shelling Drum

Adelere, Olusegun W, Aremu, Ademola K.

Journal of Engineering Research and Reports · pp. 214–230 · Published 13 May 2025

10.9734/jerr/2025/v27i51503

Abstract

The development and performance evaluation of a locally developed castor seeds shelling and separating machine was carried out with a view of modelling its shelling drum. The machine was developed to reduce the drudgery associated with the processing of castor seeds and has two major units, the shelling and the separation unit. A separation unit was incorporated to facilitate cleaning and separation of the seeds from the chaffs while the finite element analysis of the shelling drum was performed to ensure that it satisfies all the design criteria and it does not fail during operation. The performance of the machine was evaluated using two different varieties of castor seeds (Brazilian white and Brazilian black and white) at three different speeds (235, 260 and 300 rpm) and two concave clearance (10 and 15 mm) using 1000 g of both castor varieties. The evaluation was reported using shelling efficiency (74 to 94.4 %), seed recovery (25.2 to 59.4 %), separation efficiency (64.8 to 96.8 %) and percentage damage (4.8 to 57.2 %) as the performance indices. It can be concluded, that the developed machine performed better at 260 rpm and 15 mm concave clearance compared to the other speeds and concave clearance.

Castor shelling machine modelling development evaluation efficiency shelling drum

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

8

Page views

0

PDF downloads

0

Outbound clicks

0

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.