The effect of tyres and a rubber track at high axle loads on soil compaction: part 3: comparison of virgin compression line approaches

Ansorge, Dirk; Godwin, R. J.

doi:10.1016/j.biosystemseng.2009.06.024

Cited by 12 publications

(4 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although it is common practice to determine the SPR in the laboratory, it is usually expensive and time-consuming, and many researchers have questioned the accuracy of lab measurement for the determination of field parameters due to the differences in loadings [23][24][25]. The measurement of SPR in the field is possible; however, it leads to much uncertainty because the reading of SPR is greatly affected by soil physical properties, which may vary significantly spatially and temporally at different points of one field [26].…”

Section: Introductionmentioning

confidence: 99%

Estimating Soil Penetration Resistance of Paddy Soils in the Plastic State Using Physical Properties

et al. 2020

View full text Add to dashboard Cite

Soil penetration resistance (SPR) is an important indicator for soil strength which not only affects the growth of crop roots and crop yield but also is crucial in the design and selection of agricultural machinery. The determination of SPR in the laboratory is complex and time-consuming, while measuring SPR on-site shows high uncertainty at different times and locations due to soil heterogeneity. Therefore, this paper investigated the impact of soil parameters on SPR for paddy soils in the plastic state and then established a simple regression model to predict SPR using easy-to-obtain soil physical properties, including clay content, water content and density. Using the combined approaches of central composition rotatable design (CCRD) with response surface methodology (RSM), SPR of 20 soil samples from five paddy fields were measured in the laboratory. The results from the experiments showed that the contribution rate of each single factor to SPR from high to low was soil density, clay content and water content. Statistical analysis for the established equation suggested that the p-value for goodness of fit was significant (p < 0.001) and the p-value for lack of fit was insignificant (p > 0.05); meanwhile, the coefficient of determination (R2) was 0.95, indicating that the model was effective in predicting the SPR. Subsequently, the performance of the regression model was validated by comparing the estimated SPR with in situ field measurements, which showed high accuracy, with percent errors within 10%. Our study successfully proposed a method to estimate SPR using easy-to-measure soil properties that could be obtained from sensors in the soil or field investigations, including soil clay content, water content and wet bulk density.

show abstract

Section: Introductionmentioning

confidence: 99%

Estimating Soil Penetration Resistance of Paddy Soils in the Plastic State Using Physical Properties

et al. 2020

View full text Add to dashboard Cite

show abstract

“…It does not take into account that in practice the yield of cereals in the first year decreases. One of the reasons for the decline in cereal yields in the first and subsequent years is excessive soil compaction, increasing its density and hardness [1][2][3][4][5][6][7][8][9][10][11]. Therefore, the content of the soil humus on these technologies should be more than 3-3.5 %.…”

Section: Introductionmentioning

confidence: 99%

Optimization of main parameters of tractor and unit for deep processing of soil according to criterion - total energy costs

Khafizov

Nurmiev

et al. 2020

19th International Scientific Conference Engineering for Rural Development Proceedings

View full text Add to dashboard Cite

The article is devoted to the substantiation of the main parameters of the tractor (tractor weight and engine power) and the unit for deep soil cultivation (up to 0.6 m). Calculations using a systemic energy mathematical model of soil-cultivating units showed that there is an optimal combination of the tractor weight and engine power, which remain stable, when most of the main parameters of the system "tractor -implementoperator -field -soil -crop" (TIOFSC), as well as environmental factors changed. The optimal weight of the tractor in deep tillage does not change, when most of the factors of the TIOFSC system change, and remains equal to 240 kN. There is a feature in this technological operation -the more the tractor weighs, the lower the total energy costs, which is associated with insignificant crop losses from the negative impact of tractor wheels on the soil. In the calculations, the maximum tractor weight of 240 kN was adopted based on the availability of wheeled tractors in the production (John Deere and New Holland 9000 -series). The revealed optimal engine power of the tractor is related to its weight and in our calculations it is 600 hp. Unlike the main parameters of the tractor, the implement's working width depends on environmental factors (soil hardness, its resistivity, etc.) and ranges from 6 to 8 m (a larger value for light soils). The speed of the unit depends on the parameters of the tractor, the width of the implement and soil properties, it ranges from 8 to 10 km•h -1 , which allows to somewhat control the energy efficiency of the unit when changing soil properties. At work with such parameters total power expenses will be in area 4000-5000 MJ•ha -1 . The deviation of parameters of the tractor and the unit from recommended conducts to growth of the size of total power expenses.

show abstract

“…These indicators do not consider the influence of parameters of the equipment (technology) on the created harvest. Therefore, scientists pay considerable attention to studying of interaction of a running gear of tractors with the soil and to influence of soil compaction on the created harvest [6][7][8][9][10][11][12][13][14][15]. Operating conditions of tractors and their influence on the indicators of efficiency are investigated [16; 17].…”

Section: Introductionmentioning

confidence: 99%

Optimization of main parameters of tractor and unit for seeding cereal crops with regards to their impact on crop productivity

Khafizov

Nurmiev

et al. 2018

Engineering for Rural Development

View full text Add to dashboard Cite

Abstract. The article determines the weight and power of the tractor, as well as the width of the seeder and the operational speed of the tractor-seeder unit based on the new method. Using multi-cycle, multi-parameter calculations, it is revealed that the seeding operation quality could be achieved with a single combination of optimal values of the tractor weight and power, which are almost the same even within different environmental conditions. The main influence on the optimal value of the tractor weight and engine power is caused by a specific traction resistance of the seeder. For the seeder specific traction resistances ranging from 3.2 to 5.2 kN·m -1 , the optimal value of the tractor weight for seeding operations with a DMC-implement (chisel-shaped openers) is in the range from 80 to 120 kN. The required rational power varies from 200 hp up to 310 hp. The optimal seeder width is 12 m, the optimum speed of the unit is 12 km·h -1 . The nomograph is proposed for seeders with a different working width, with a different type of working elements and, accordingly, with a different traction resistance. The optimum values of the main parameters of the tractor revealed by the proposed graph will ensure minimum total energy costs for seeding, by reducing the energy costs of the lost crop. Increasing the operational speed of the seeding units leads to an increase in required power of the tractor engine, while maintaining the value of its weight.Key words: tractor, weight, power, optimization, total energy costs, mathematical model, seeder. IntroductionThe considerable attention in foreign and domestic scientific literature is paid to increase in the efficiency of use of tractors and tractor-implement units. For assessment of the efficiency of tractors and units different indicators are used -productivity, fuel usage on 1 hectare, given expenses and other indicators [1][2][3][4][5]. These indicators do not consider the influence of parameters of the equipment (technology) on the created harvest. Therefore, scientists pay considerable attention to studying of interaction of a running gear of tractors with the soil and to influence of soil compaction on the created harvest [6][7][8][9][10][11][12][13][14][15]. Operating conditions of tractors and their influence on the indicators of efficiency are investigated [16; 17]. There is a need of a system approach for justification of the parameters of tractors taking into account their influence on the created harvest.On the basis of many years of research, we developed a system mathematical model of atractor and an implement has been developed using the energy optimization criterion -total energy costs. Numerous pilot studies proved adequacy of the mathematical model of different tractor-implement units [18][19][20]. Total energy costs, in addition to direct and indirect energy costs, include the energy of the crop lost due to incorrectly selected parameters and operating modes of implements, which occupies from 40 to 80 % of the total energy costs in various operations and ...

show abstract

The effect of tyres and a rubber track at high axle loads on soil compaction: part 3: comparison of virgin compression line approaches

Cited by 12 publications

References 22 publications

Estimating Soil Penetration Resistance of Paddy Soils in the Plastic State Using Physical Properties

Estimating Soil Penetration Resistance of Paddy Soils in the Plastic State Using Physical Properties

Optimization of main parameters of tractor and unit for deep processing of soil according to criterion - total energy costs

Optimization of main parameters of tractor and unit for seeding cereal crops with regards to their impact on crop productivity

Contact Info

Product

Resources

About