برآوردگر قدرت یک ماشین خاکستری فعال و غیر فعال با استفاده از قوانین مکانیک کلاسیک
|کد مقاله||سال انتشار||تعداد صفحات مقاله انگلیسی||ترجمه فارسی|
|139562||2017||8 صفحه PDF||سفارش دهید|
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Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Soil and Tillage Research, Volume 171, August 2017, Pages 1-8
The integration of an active and a passive tillage tool results in several benefits. In this study, power requirement of an integrated active-passive tillage machine was investigated using a theoretical procedure. To achieve this goal, two of the models developed previously regarding the power needs of a rotary tiller and a subsoiler were modified and combined to result in an integrated estimator for prediction of the power requirements of the combined machine. Verification of the integrated estimator was carried out by comparing the estimator outputs with experimental results obtained by other researchers. According to the results of the study, the error percentage of the estimator in predicting draft force, rotational power, drawbar power, and negative draft of an integrated active-passive tillage machine in comparison with the experimental data of Weise (1993) were 16%, 47%, 6%, and 3%, respectively. Moreover, similar proportions of rotational power to total power as well as similar volumetric energy consumptions were obtained from the estimator developed herein and the experimental study of Chamen et al. (1979). Furthermore, there were promising correlations between estimated torques in this study and the study of Anpat and Raheman (2017), as well as between estimated draft forces and powers in this study and the study of Shinners et al. (1993). Finally, considering the correlations between the data obtained herein and the study of Manian and Kathirvel (2001), the estimator developed in this study predicted the values of draft force, draft power, total power and required torque of the machine fairly well. However, it overestimated the value of draft force, especially when forward speed of the machine was low. To sum up, the majority of the estimator outputs were aligned with the results obtained by other researchers.