Evaluation of a conical insert for improving fertilizer distribution uniformity in a centrifugal spreader
Więcej
Ukryj
1
Laboratoire Biodiversité et Pollution des Écosystèmes, faculté SNV, Université Chadli Bendjedid 36000 El Tarf. Algérie
2
Laboratoire des ressources Naturelles et Aménagement des Milieux Sensibles (RNAMS), Université Larbi Ben M'Hidi W. Oum El Bouaghi
3
Department of Mechanical and Agro-Industrial Engineering, Higher School of Engineers of Medjez el Bab, University of Jendouba, Medjez el Bab, Tunisia
Autor do korespondencji
Nacera Siakhene Hennouni
Laboratoire Biodiversité et Pollution des Écosystèmes, faculté SNV, Université Chadli Bendjedid 36000 El Tarf. Algérie
SŁOWA KLUCZOWE
DZIEDZINY
STRESZCZENIE
A quarter-scale laboratory prototype of a centrifugal fertilizer spreader was evaluated to determine whether a conical flow-guiding insert could improve the transverse distribution of granular fertilizer. Experiments were conducted at the Department of Mechanical and Agro-Industrial Engineering, Higher School of Engineers of Medjez el Bab, Tunisia. The methodology combined indoor spreading tests with three replicates per treatment, particle-size classification and reduced-order semi-empirical modelling. The prototype was equipped with a 19 cm inclined disc, three vanes and a conical insert with four longitudinal channels and a 12 mm discharge opening. Transverse profiles were measured from -5 to +5 m without the insert at 779 rpm and with the insert at 708, 779 and 816 rpm, using a fertilizer flow rate of 4.2 kg min⁻¹. Additional half-profile measurements were collected for three particle-size classes of 2.00, 1.25 and 1.00 mm. The conical insert reduced the coefficient of variation from 68.2% without insert to 12.0% at 779 rpm with insert, indicating a marked improvement in transverse uniformity. The best insert configuration was observed at 779 rpm, whereas 708 and 816 rpm produced higher variability. Particle-size analysis showed that the 1.25 mm fraction produced the most uniform half-profile, while 1.00 mm particles were concentrated near the centre and 2.00 mm particles contributed more strongly to distant positions. Because an initial physics-based model did not adequately reproduce the measured profiles, the final modelling strategy used parsimonious semi-empirical functions selected by corrected Akaike information criterion and evaluated by leave-one-out cross-validation. This approach provided a transparent framework for comparing configurations and documenting the effects of rotational speed and particle diameter.