AgricEng Logo

Differentiation of the Composition of Combined Soil-Tillage Machines depending on the Conditions of Use

Authors

DOI:

https://doi.org/10.2478/agriceng-2024-0022

Keywords:

differentiation, methodology, soil-tillage machines, working bodies, mathematical models, soil loosening

Abstract

The authors propose an approach to complete a task that is important for agricultural production, while ensuring a specified quality index of soil cultivation with minimal energy and labor costs and maximum reduction of negative environmental impact on soil and the surrounding environment. This is done using combined machines with an optimal set of working bodies. Achieving this goal involves differentiating the composition of combined soil-tillage machines depending on their operating conditions based on a methodology that can be based on an algorithm for determining the overall quality index, mathematical models of the functioning of individual working bodies, and appropriate original software.

References

Abo Al-kheer, A., Eid, M., Aoues, Y., El-Hami, A.,Kharmanda, M. G., & Mouazen, A. M. (2011). Theoreticalanalysis of the spatial variability in tillage forces for fatigueanalysis of tillage machines. Journal of Terramechanics, 48(4), 285-295. https://doi.org/10.1016/j.jterra.2011.05.002

Abo Al-kheer, A., El-Hami, A., Kharmanda, M. G., & Mouazen, A. M. (2010). Reliability-based design for soil tillage machines. Journal of Terramechanics, 48(1), 57-64. https://doi.org/10.1016/j.jterra.2010.06.001.

Almaliki, S. (2018). Simulation of draft force for three types of plow using response surface method under various field conditions. The Iraqi Journal of Agricultural Sciences, 49(6), 1123-1124. https://doi.org/10.36103/ijas.v49i6.151.

Azimi-Nejadian, H., Karparvarfard, S. H., Naderi-Boldaji, M., & Rahmanian-Koushkaki, H. (2019). Combined finite element and statistical models for predicting force components on a cylindrical mouldboard plough. Biosystems Engineering, 186, 168-181. https://doi.org/10.1016/j.biosystemseng.2019.07.007.

Azizi, A., Gilandeh, Y. A., Mesri-Gundoshmian, T., Saleh-Bigdeli, A. A., & Moghaddam, H. A. (2020). Classification of soil aggregates: A novel approach based on deep learning. Soil and Tillage Research, 199, 104586. https://doi.org/10.1016/j.still.2020.104586.

Celik, H. K., Caglayan, N., Topakci, M., Rennie, A. E. W., & Akinci, I. (2020). Strength-based design analysis of a Para-Plow tillage tool. Computers and Electronics in Agriculture, 169, 105168. https://doi.org/10.1016/j.compag.2019.105168.

Chirende, B., Li, J. Q., & Vheremu, W. (2019). Application of finite element analysis in modeling of bionic harrowing discs. Biomimetics, 4(3), 61. https://doi.org/10.3390/biomimetics4030061.

Ebrahimi, R., Mirdamadi, H. R., & Ziaei-Rad, S. (2018). Operational modal analysis and fatigue life estimation of a chisel plow arm under soil-induced random excitations. Measurement, 116, 451-457. https://doi.org/10.1016/j.measurement.2017.11.020.

He, C., You, Y., Wang, D., & Wu, H. (2018). Estimating soil failure due to torsion via vane shear test by varying vane diameter and soil properties. Soil and Tillage Research, 177, 68-78. https://doi.org/10.1016/j.still.2017.12.004.

Jiang, X., Tong, J., Ma, Y., & Sun, J. (2020). Development and verification of a mathematical model for the specific resistance of a curved subsoiler. Biosystems Engineering, 190, 107-119. https://doi.org/10.1016/j.biosystemseng.2019.12.004.

Jirigalantu, Li, X., Mi, X., Liu, K., & Tang, Y. (2017). Development of a parameterized mechanical model of a chisel-edge grating ruling tool. Precision Engineering, 50, 388-392. https://doi.org/10.1016/j.precisioneng.2017.06.013

Karaiev O., Bondarenko L., Halko S., Miroshnyk O., Vershkov O., Karaieva T., Shchur T Findura P.,& Prístavka M. (2021). Mathematical modelling of the fruit-stone culture seeds calibration process using flat sieves. Acta Technologica Agriculturae, 24(3), 119-123. https://doi.org/10.2478/ata-2021-0020

Leschenko, S. (2014). Experimental estimate of the efficiency of basic tilling by chisel equipment in the conditions of soil. In Design, production and operation of agricultural machines. All-state interdepartmental scientific and technical collection. Eds Sergey Leschenko, Vasil Salo, Dmitry Petrenko. Kirovohrad, UA.

Leshchenko, S., Salo, V., Vasylkovskyy, A. (2014). Situation and prospect of intensifying the work of chisel tools to preserve the natural fertility. MOTROL, 16(2), 195-201.

Lezhenkin O., Halko, S., Miroshnyk O., Vershkov O., Lezhenkin I., Suprun O., Shchur T., Kruszelnicka W., & Kasner, R. (2021). Investigation of the separation of combed heap of winter wheat. Journal of Physics: Conference Series, 1781(1), 012016. https://doi.org/10.1088/1742-6596/1781/1/012016.

Prem, M., Swarnkar, R., Kantilal, V. D. K., Jeetsinh, P. S. K., & Chitharbhai, K. B. (2016). Combined tillage tools-a review. Current Agriculture Research Journal, 4(2), 179. http://dx.doi.org/10.12944/CARJ.4.2.07.

Ranjbar, I., Rashidi, M., Najjarzadeh, I., Niazkhani, A., & Niyazadeh, M. (2013). Modeling of moldboard plow draft force based on tillage depth and operation speed. Middle-East Journal of Scientific Research, 17(7), 891-897. https://doi.org/10.5829/idosi.mejsr.2013.17.07.12232.

Renon, N., Montmitonnet, P., & Laborde, P. (2005). Numerical formulation for solving soil/tool interaction problem involving large deformation. Engineering Computations, 22(1), 87-109. https://doi.org/10.1108/02644400510572424

Van Capelle C., Schrader S., & Brunotte J. (2012). Tillage-induced changes in the functional diversity of soil biota – A review with a focus on Germandata. European Journal of Soil Biology, 50, 165–181.

Vasylkovska K.V., Leshchenko S.M., Vasylkovskyi O.M., & Petrenko D.I. (2016) Improvement of equipment for basic tillage and sowing as initial stage of harvest forecasting. INMATEH – Agricultural Engineering, 50(3), 13-20.

Zeng, Z., Chen, Y., & Zhang, X. (2017). Modelling the interaction of a deep tillage tool with heterogeneous soil. Computers and Electronics in Agriculture, 143, 130-138. https://doi.org/10.1016/J.COMPAG.2017.10.005.

Zeng, Z., Ma, X., Chen, Y., & Qi, L. (2020). Modelling residue incorporation of selected chisel ploughing tools using the discrete element method (DEM). Soil and Tillage Research, 197, 104505. https://doi.org/10.1016/j.still.2019.104505.

Downloads

Published

2024-12-28

Issue

Section

Articles

How to Cite

Differentiation of the Composition of Combined Soil-Tillage Machines depending on the Conditions of Use. (2024). Agricultural Engineering , 28, 353-365. https://doi.org/10.2478/agriceng-2024-0022

Most read articles by the same author(s)

1 2 > >>