拖拉机不同行驶参数下日振动剂量的优化

IF 0.7 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY
C. Prakash, L. Singh, Ajay Gupta
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引用次数: 0

摘要

本研究考察了不同输入骑行参数(即平均速度(m/s)(2.78、3.89、5.0)、体重(BM) (kg/m2)(35.3、32.6、25.4)和不同地形类型(砖路、农场和沥青路)下拖拉机驾驶员的日常振动暴露A(8)。为了安排系统的实验顺序,本研究选用田口L9正交阵列。计算信噪比(SNR)来分析输入参数对输出参数的总体影响。本研究发现,根据ISO 2631-1(1997),所有拖拉机操作员的A(8)响应都超过了推荐的动作值。平均速度和各种地形条件是影响最大的显著变量(p≤0.05),贡献率分别为53.71%和11.53%。回归模型预测的线性和线性交互作用值与实验值非常接近,平均误差百分比分别为3.89%和2.27%。由于舒适性对拖拉机驾驶员至关重要,本研究结果可用于拖拉机座椅的设计,以提高舒适性。这种方法在印度拖拉机司机的舒适环境中是独一无二的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of Daily Vibration Dose during Different Ride Parameters among Tractor Driving
This research examined tractor operators’ daily vibration exposure A(8) with different input riding parameters, i.e., average speed (m/s) (2.78, 3.89, 5.0), body mass (BM) (kg/m2) (35.3, 32.6, 25.4), and different terrain types (brick, farm, and tar roads). To arrange the systematic sequence of experiments, Taguchi’s L9 orthogonal array has been selected for this study. The signal-to-noise ratio (SNR) is calculated to analyze the overall influence of input parameters over the output parameters. In this study, it is found that A(8) responses exceeded the recommended action value among all the tractor operators according to ISO 2631-1 (1997). The average speeds and various terrain conditions were shown to be the most influential significant variables (p ≤ 0.05), with percentage contributions of 53.71% and 11.53%, respectively. The predicted linear and linear interaction values in a regression model are quite similar to the experimental values, with mean error percentages of 3.89% and 2.27%, respectively. As comfort is essential for the tractor operator, the results of this research may be used in the design of tractor seats to improve comfort. The approach is unique in the Indian context for the comfort of the tractor driver.
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来源期刊
SAE International Journal of Transportation Safety
SAE International Journal of Transportation Safety TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
1.10
自引率
0.00%
发文量
21
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