Dimensional Analysis based Prediction Model for Fuel Consumption in the Deutz Agrotrac Tractor

Labad Rima, Mohammedi Zekari, Tayeb Hamani Rym, Taibi Sabrina, Gopal Uttamrao Shinde, Feddal Mohammed Amine
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Abstract

Background: Fuel consumption is a critical factor in the performance of an agricultural tractor. And it can be affected by numerous parameters. Farming practices is an essential aspect that affects the cost of operation and the overall efficiency of the tractor. Predictions of fuel consumption rates in tractors and the energy consumption parameters of primary tillage equipment under local conditions are therefore essential selection criteria in purchasing decisions. Methods: A prediction model for fuel usage during tillage operations was created using dimensional analysis. The model was established by incorporating experimental findings into an equation. The experiment was conducted in the El Ouracia region of Setif, Algeria in 2022/2023 crop season, with fuel usage per time unit determined through topping-up the tank method. The fuel experiment parameters were measured according to their respective standard procedures. Result: By simulating fuel usage with tillage depth, tillage width, travel speed, soil bulk density and cone index. The constant in the prediction model was obtained. This developed model has the potential to forecast the tractor fuel consumption during tillage operation.
基于维度分析的道依茨 Agrotrac 拖拉机耗油量预测模型
背景:油耗是影响农用拖拉机性能的关键因素。它可能受到许多参数的影响。耕作方式是影响拖拉机运行成本和整体效率的一个重要方面。因此,在当地条件下预测拖拉机的燃油消耗率和主要耕作设备的能耗参数是购买决策中的重要选择标准。方法采用维度分析法建立了耕作过程中燃料消耗的预测模型。该模型是通过将实验结果纳入方程建立的。实验于 2022/2023 年作物季节在阿尔及利亚塞提夫的 El Ouracia 地区进行,通过油箱加满法确定单位时间内的燃料用量。燃料实验参数按照各自的标准程序进行测量。结果:通过模拟耕作深度、耕作宽度、行进速度、土壤容重和圆锥指数对燃料使用量的影响。得出了预测模型中的常数。该模型可用于预测拖拉机在耕作过程中的耗油量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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