Journal article
Analyzing the mixing performance of a rotary spader using digital image processing and discrete element modelling (DEM)
Computers and Electronics in Agriculture, Vol.151, pp.1-10
2018
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Source: InCites
Abstract
In order to incorporate a range of surface applied materials into the soil profile to ameliorate crop production constraints, rotary spaders have recently been adopted in Australia. However, no fundamental studies have been carried out to quantify the mixing ability of rotary spaders. The discrete element method (DEM) has the potential to model soil to rotary spader interaction in terms of soil movement. In this study a full scale rotary spader was tested in the field and then simulated using DEM. The DEM model predicted top soil burial to a similar depth in the soil profile as was measured in the field. A method to compare and quantify soil movement was also developed using digital image processing. The forward soil movement which was not examined in the field was also simulated using DEM and it was found that higher forward speed increases the bite lengths, and hence results a heterogeneous top soil mixing. It was also found that in order to carry out a proper analysis, both cross section and forward soil movement must be considered while quantifying the mixing ability of the rotary spader. The results of this study proves that (1) DEM can be used to model soil to rotary spader interaction to analyse different operation conditions without time consuming and costly field tests which can only be performed certain times of the year and (2) digital image processing can be used as a method to quantify and validate simulations of field experiments.
Details
- Title
- Analyzing the mixing performance of a rotary spader using digital image processing and discrete element modelling (DEM)
- Creators
- Mustafa Ucgul - University of South AustraliaChris Saunders - University of South AustraliaPeilin Li - University of South AustraliaSang-Heon Lee - University of South AustraliaJacky M. A. Desbiolles - University of South Australia
- Publication Details
- Computers and Electronics in Agriculture, Vol.151, pp.1-10
- Publisher
- Elsevier BV
- Identifiers
- 991013000289402368
- Academic Unit
- Faculty of Science and Engineering
- Language
- English
- Resource Type
- Journal article