Determination of discrete element model parameters for a cohesive soil and validation through narrow point opener performance analysis

Aikins, Kojo Atta ORCID: https://orcid.org/0000-0003-0129-4816 and Ucgul, Mustafa and Barr, James B. and Jensen, Troy A. and Antille, Diogenes L. and Desbiolles, Jack M. A. (2021) Determination of discrete element model parameters for a cohesive soil and validation through narrow point opener performance analysis. Soil and Tillage Research, 213:105123. pp. 1-13. ISSN 0167-1987


Abstract

The discrete element method (DEM) is a powerful tool that can be used to predict soil disturbance and soil cutting forces to assist design optimisation of soil cutting tools. In this study, DEM input parameters were calibrated to model a cohesive soil (Black Vertosol of southern Queensland, Australia) using the hysteretic spring contact model, coupled with linear cohesion model, and nominal particle radius of 5 mm. DEM simulations were validated using experimental results for the effects of opener rake angle and cutting edge chamfer, and bentleg opener shank offset on no-tillage narrow point opener performance. Overall, DEM results closely agreed with experimental results and exhibited similar trends. By using particle displacement analysis to predict loosened furrow boundary, most predictions of furrow parameters namely furrow cross-sectional area, furrow width, and critical depth had relative errors ranging from 1 % to 19 %. Lateral soil throw was predicted with relative errors of 0.2 %–9 %, except for the straight opener with 45° rake angle (-32 %). Ridge height was over predicted in all cases due to larger DEM particles than actual soil particles used. Relative errors of 20 %, 22 %, -31 %, and -5 % in draught were recorded for the straight openers with 90° (blunt), 90° (chamfered), and 45° rake angles, and the bentleg opener, respectively. These results show that DEM and the input parameters determined to model the cohesive soil of this study can be used to reliably assess furrow opener performance.


Statistics for USQ ePrint 42931
Statistics for this ePrint Item
Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Institute for Advanced Engineering and Space Sciences - Centre for Agricultural Engineering (1 Aug 2018 -)
Faculty/School / Institute/Centre: Current - Institute for Advanced Engineering and Space Sciences - Centre for Agricultural Engineering (1 Aug 2018 -)
Date Deposited: 23 Aug 2021 06:34
Last Modified: 20 Sep 2021 06:13
Uncontrolled Keywords: bentleg opener, black vertosol, furrow profile, tillage force prediction, soil tool modelling
Fields of Research (2008): 09 Engineering > 0999 Other Engineering > 099901 Agricultural Engineering
Fields of Research (2020): 40 ENGINEERING > 4099 Other engineering > 409901 Agricultural engineering
Socio-Economic Objectives (2008): B Economic Development > 82 Plant Production and Plant Primary Products > 8205 Winter Grains and Oilseeds > 820599 Winter Grains and Oilseeds not elsewhere classified
B Economic Development > 82 Plant Production and Plant Primary Products > 8204 Summer Grains and Oilseeds > 820499 Summer Grains and Oilseeds not elsewhere classified
Socio-Economic Objectives (2020): 26 PLANT PRODUCTION AND PLANT PRIMARY PRODUCTS > 2603 Grains and seeds > 260312 Wheat
26 PLANT PRODUCTION AND PLANT PRIMARY PRODUCTS > 2603 Grains and seeds > 260301 Barley
26 PLANT PRODUCTION AND PLANT PRIMARY PRODUCTS > 2603 Grains and seeds > 260310 Sorghum
Identification Number or DOI: https://doi.org/10.1016/j.still.2021.105123
URI: http://eprints.usq.edu.au/id/eprint/42931

Actions (login required)

View Item Archive Repository Staff Only