Draft Prediction of Commonly Used Tillage Implements for Sandy Clay Loam Soil in India

IF 0.9
Ajay K. Roul, Hifjur Raheman
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Abstract

Draft requirements for prototypes of mouldboard plough, cultivator and offset disc harrow with different widths of cut or number of tools were measured at four levels of depth and four levels of forward speed in three soil compaction levels in a soil bin with sandy clay loam soil at an average soil moisture content of 9.58% (d.b.). Effect of depth was more significant on draft of mouldboard plough and offset disc harrow, whereas number of tynes was the most significant factor for cultivator. Rate of increase of draft with respect to depth was higher as compared to forward speed, cone index and width of cut for all implements tested. Draft values predicted by ASABE model were compared with those obtained from soil bin tests at three compaction levels. Quite often, the measured draft values were found to be about 2.9, 1.7 and 1.65 times more than the ASABE predicted values for mouldboard plough, cultivator and offset disk harrow, respectively. An equation similar to the ASABE model incorporating cone index was developed using stepwise regression analyses to model the draft of tillage implements for the range of soil and operating condition tested. Field tests with commercial models of these implements were conducted to acquire data for draft by developing appropriate instrumentation to validate the developed draft equation. The average absolute variations between the predicted and measured values of draft were within 5.5 % and 11.6% for all the implements tested, and thus validated the developed draft prediction equation.
印度砂质粘壤土常用耕作机具预测草案
在平均土壤含水量为 9.58% (d.b.)的砂质粘壤土土仓中,在三种土壤压实度条件下,测量了四级深度和四级前进速度下,不同切割宽度或工具数量的模板犁、耕地机和偏置圆盘耙原型的牵引要求。深度对模板犁和偏置圆盘耙的牵引力影响较大,而犁的犁齿数是影响最大的因素。与前进速度、圆锥指数和切割宽度相比,所有测试机具的深度对牵引力的增加率都更高。将 ASABE 模型预测的牵引力值与在三种压实水平下进行的土壤仓测试得出的牵引力值进行了比较。通常情况下,对于模板犁、耕地机和偏置圆盘耙,测得的牵引力值分别是 ASABE 预测值的 2.9 倍、1.7 倍和 1.65 倍。通过逐步回归分析,建立了一个与 ASABE 模型类似的包含锥度指数的方程,以模拟所测试的一系列土壤和操作条件下的耕作机具吃水情况。使用这些机具的商用模型进行了实地测试,通过开发适当的仪器来获取吃水数据,以验证所开发的吃水方程。所有测试机具的吃水预测值和测量值之间的平均绝对差异在 5.5 % 和 11.6 % 之间,从而验证了所开发的吃水预测方程。
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