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Spline regression modelling of PTO performance of tractor fuelled with different biodiesels

机译:不同生物柴油供能的拖拉机动力输出性能的样条回归模型

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Abstract: The objective of this study was to investigate the possibility of fitting spline regression models for power take-off (PTO) performance characteristics of an agricultural tractor tested with four different fuels, including diesel fuel (B0) and three biodiesel blends made of canola oil (B10: 10% biodiesel + 90% petro-diesel blend; B20: 20% biodiesel + 90% petro-diesel blend; B30: 30% biodiesel + 90% petro-diesel blend). The performance characteristics evaluated were PTO power, engine torque, engine fuel consumption, and specific fuel consumption. Due to sharp slopes in measured quantities around the nominal engine speed (2200 r/min), compared to the standard regression method, the spline regression models suited well to the experimental data with coefficient of determination R2=0.99 for PTO power and engine torque. R2 varied between 0.97 and 0.99 for fuel consumption and 0.91 and 0.95 for specific fuel consumption. The weaker correlation found for specific fuel consumption could be attributed to profound fluctuations in measured data causing atypical pattern in the corresponding graphs around the nominal engine speed. It was concluded that splines were useful to accurately predict the measured PTO power and engine torque. Neither standard methods nor splines were sufficient to obtain very good regression models for specific fuel consumption. Keywords: biodiesel, performance characteristics, power take-off, tractor, spline modelling DOI: 10.3965/j.ijabe.20171003.3220 Citation: Aybek A, Arslan S, Ucgul M, ü?ok S. Spline regression modelling of PTO performance of tractor fuelled with different biodiesels. Int J Agric & Biol Eng, 2017; 10(3): 115–120.
机译:摘要:本研究的目的是研究使用样条回归模型拟合农用拖拉机的动力输出(PTO)性能特征的可能性,该拖拉机使用四种不同的燃料进行了测试,其中包括柴油(B0)和三种低芥酸菜籽制成的生物柴油混合物油(B10:10%生物柴油+ 90%石油柴油混合物; B20:20%生物柴油+ 90%石油柴油混合物; B30:30%生物柴油+ 90%石油柴油混合物)。评估的性能特征为PTO功率,发动机扭矩,发动机燃油消耗和特定燃油消耗。与标准回归方法相比,由于测量量在额定发动机转速(2200 r / min)附近有明显的斜率,因此样条回归模型非常适合实验数据,PTO功率和发动机扭矩的测定系数R2 = 0.99。 R2在油耗方面介于0.97和0.99之间,在特定油耗方面介于0.91和0.95之间。针对特定燃料消耗发现的较弱相关性可能归因于测量数据的剧烈波动,从而导致相应图表中发动机额定转速附近出现非典型模式。结论是,花键可用于准确预测测得的PTO功率和发动机扭矩。标准方法和样条曲线都不足以获得针对特定油耗的非常好的回归模型。关键字:生物柴油,性能特征,取力器,拖拉机,样条曲线模型DOI:10.3965 / j.ijabe.20171003.3220引文:Aybek A,Arslan S,Ucgul M,ü?okS。与不同的生物柴油。国际农业与生物工程杂志,2017; 10(3):115-120。

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