Off-Road Traction Prediction for Wheeled Vehicles

Wismer, Robert D.; Luth, H. J.

doi:10.13031/2013.36772

Cited by 79 publications

(6 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The working width is influenced by the tractor's drawbar performance, which is intricately linked to factors including engine power (PWR), distribution of weight on the drive wheels (MSS distribution across axles separated by wheelbase (WBS)), type of hitch (which impacts weight distribution), and soil surface conditions (affecting motion resistance) [17][18][19][20][21].…”

Section: Portfolio Complexitymentioning

confidence: 99%

New Agricultural Tractor Manufacturer’s Suggested Retail Price (MSRP) Model in Europe

Herranz-Matey,

Ruiz-Garcia

2024

Agriculture

View full text Add to dashboard Cite

Research investigating models for assessing new tractor pricing is notably scarce, despite its fundamental importance in conducting comprehensive cost analyses. This study aims to identify a model that is both user-friendly and robust, evaluating both parametric and Machine Learning-optimized non-parametric models. Among parametric models, the second-order polynomial model demonstrated superior performance in terms of R-squared (R2) of 0.97469 and a Root Mean Square Error (RMSE) of 15,633. Conversely, Machine Learning-optimized Gaussian Processes Regressions exhibited the most favorable overall R-squared (R2) of 0.99951 and a Root Mean Square Error (RMSE) of 2321. While the parametric polynomial model offers a solution with minimal mathematical and computational complexity, the non-parametric GPR model delivers highly robust outcomes, presenting stakeholders involved in new agriculture tractor transactions with superior data-driven decision-making capabilities.

show abstract

Section: Portfolio Complexitymentioning

confidence: 99%

New Agricultural Tractor Manufacturer’s Suggested Retail Price (MSRP) Model in Europe

Herranz-Matey,

Ruiz-Garcia

2024

Agriculture

View full text Add to dashboard Cite

show abstract

“…Slip, as highlighted by Wismer and Luth (1972) and Brixius (1987), plays a significant role in optimizing tractive performance. [1,2]. As tractive efficiency is optimal within this range, maintaining wheel slip within a specified optimal range ensures the tractor operates at maximum efficiency.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Slip for a Two-Wheel drive Tractor through MATLAB Simulink Model

Partha Sarathi Singha,

Avinash Kumar

2024

Int Res J Adv Engg Hub

View full text Add to dashboard Cite

The ability to pull is one of the primary distinctions between an automobile and a tractor. The tractor slippage has a significant impact on the pull. It is critical to keep slippage in the 8 to 15% range to achieve improved tractive efficiency, i.e., using more pull with the available power. As a result, slippage has a higher impact on the performance of a tractor-implement combination. Currently, slip is measured in the field using manual intervention. To solve this issue, a MATLAB Simulink model was developed to forecast the slip for a two-wheel drive tractor, and a micro-controller-based wheel slip measurement device was utilized to measure and validate the slip. In addition to saving time and costs, predicting slippage would lessen the laborious work that humans do during field testing. The developed model could also predict the actual speed of operation and the field capacity. The developed model predicted the slip within +4.03 to -4.55%, actual speed of operation within +3.83 to -2.70 % and field capacity within +3.44 to -7.09% relative deviation. The coefficient of determination was found close to 0.98 for all the three performance factors. The developed model is user friendly and efficient. This could help researcher to forecast the performance parameters without going to field.

show abstract

“…The traction force generated by the tractor can be estimated from the Wismer-Luth, Brixius equations, etc., which are registered in the ASABE test specification [3,4]. However, since these estimation methods are empirical formulas rather than theory-based methods, the prediction result cannot be considered accurate.…”

Section: Introductionmentioning

confidence: 99%

Development of a Modified Method for Measuring the Actual Draft Force Using a Tractor-Attached Dynamometer

Kim,

Lee,

Kim

et al. 2024

Agriculture

View full text Add to dashboard Cite

In this study, crank-locker kinematic equations were used to analyze the three-point hitch behavior when the dynamometer was connected to the work machine. The dynamometer was statically tested with a hydraulic actuator, and the accuracy of the three-way force and the moment was confirmed to be 96–99%. The calibrated dynamometer was put to the test on a real farm field, and data were collected using a data acquisition system. Using the transport pitch correction equation, the collected data can be transformed into more realistic data. International standards were used to determine the point of connection between the tractor, dynamometer, and implement. The results of this study made it possible to accurately measure force and moment, which will have an important role in future agricultural technologies such as autonomous agricultural operation.

show abstract

Off-Road Traction Prediction for Wheeled Vehicles

Cited by 79 publications

References 7 publications

New Agricultural Tractor Manufacturer’s Suggested Retail Price (MSRP) Model in Europe

New Agricultural Tractor Manufacturer’s Suggested Retail Price (MSRP) Model in Europe

Prediction of Slip for a Two-Wheel drive Tractor through MATLAB Simulink Model

Development of a Modified Method for Measuring the Actual Draft Force Using a Tractor-Attached Dynamometer

Contact Info

Product

Resources

About