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Articles by Wenhao Suo
Total Records ( 2 ) for Wenhao Suo
  Han Renting , Xuan Wang , Nan Geng , Wenhao Suo , Bei Liu and Yuxiang Huang
  This study utilizes the Cobb-douglas production function and regression analysis to establish a computing model for the contribution rate of agricultural mechanization to agricultural production. The agricultural mechanization and agricultural output data of the Shaanxi Province from 2001 to 2010 were used as examples for the estimation. The results demonstrate that the contribution of agricultural mechanization to agricultural output was 31.46%. A regression analysis of the various input factors revealed that the growth of agricultural output was primarily due to an increase in capital and agricultural machinery. Capital investment displayed the largest contribution to the output, followed, in descending order, by the investment in agricultural machinery and land investment; moreover, the labor investment did not significantly affect the output. With an increased agricultural machinery and capital investment, the agricultural output of the Shaanxi Province exhibited a trend of significant upward growth. This observation suggests that further investment in agricultural machinery and an increase in the mechanization level of agricultural production may extensively contribute to the growth of the agricultural output. The results of this study are relevant for future evaluations of the development level of agricultural mechanization and its potential contribution to the agricultural output.
  Wenting Han , Wenhao Suo and Junchang Zhang
  To test and analyze engine speed characteristics, most previous studies have adopted plots of speed and power and plots of speed and torque as characteristic curves of engine speed. This method of qualitative analysis does not look at other useful information in the data. To perform an in-depth analysis on the information embedded in the engine speed characteristics curve and provide quantitative parameters for dual fuel engine design or refit, this study uses a method of regression analysis to establish a parabolic model to describe the relationship between the power and rotational speed of a dual fuel engine and an inverse-logistic model to describe the relationship between torque and rotational speed. Using case studies, the model coefficients of determinations (R2) all exceeded 0.99 and the results include the rates of change of the power and torque, the maximum power and its confidence interval and the torque inflection point and steepest descent interval, therefore achieving a quantitative analysis of the dual fuel engine speed characteristics.
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