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Evaluation and analysis of occupational ride comfort in rotary soil tillage operation

机译:旋转土壤耕作运行中职业乘坐舒适的评价与分析

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The present study investigates the effect of tractor ride conditions like forward speed, pulling force and tillage depth on overall vibration total value (OVTV). Taguchi's L-27 orthogonal array was used to conduct experiments on post-harvested paddy field. Response Surface Methodology (RSM) was utilized to obtain linear and quadratic predictive models that can be used to optimize the ride conditions for minimizing OVTV. The magnitude of overall vibration total value varies from 0.727 to 0.913 m/s(2) among all the experiments. Analysis of variance (ANOVA) shows that forward speed and pulling force are significant at 5% level. The percentage contribution of forward speed, pulling force, and tillage depth is found to be 76.249%, 21.174%, and 1.794%, respectively. Suitable ride condition with respect to forward speed, pulling force, and tillage depth is 0.6 m/s, 6 kN, and 0.14 m, respectively. The calculated response of linear and quadratic regression models show 1.747% and 1.224% error, respectively. The quadratic regression model is found to be the best suitable with 93% desirability. (C) 2018 Elsevier Ltd. All rights reserved.
机译:本研究调查了拖拉机乘坐条件的影响,如前进速度,拉力和耕作深度在整体振动总值(OVTV)上。 Taguchi的L-27正交阵列用于对收获后的稻田进行实验。响应表面方法(RSM)用于获得可用于优化用于最小化OVTV的乘坐条件的线性和二次预测模型。在所有实验中,总振动总值的大小从0.727变化到0.913 m / s(2)。方差分析(ANOVA)表明,前进速度和拉力在5%水平下显着。前进速度,拉力和耕作深度的百分比分别为76.249%,21.174%和1.794%。相对于前进速度,拉力和耕作深度的合适条件分别为0.6米/秒,6 kN和0.14米。计算的线性和二次回归模型的响应分别显示1.747%和1.224%的误差。发现二次回归模型是最合适的,其可取性为93%。 (c)2018年elestvier有限公司保留所有权利。

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