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首页> 外文期刊>Current Science: A Fortnightly Journal of Research >Dynamic push-pull strength data generation for agricultural workers to develop manual dryland weeders
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Dynamic push-pull strength data generation for agricultural workers to develop manual dryland weeders

机译:用于农业工人的动态推挽强度数据生成,用于开发手动旱地杂草

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摘要

Existing manual hoes are dynamic push-pull weeders, but their designs are based on static force exertions. A test rig was developed to optimize the speed and force exertions. At 1.0 km h(-1), an operator can exert 20 to 25 kgf. Based on optimized results V-shaped blade (V) and straight blade (S) weeders were developed and evaluated along with the existing twin wheel hoe (T). Performance of the V and S weeders was higher than T. The field capacities were 0.026, 0.033 and 0.33 ha h(-1) and energy expenditures were 20.35, 18.82 and 18.78 kJ min(-1) respectively, for T, S and V; however V was best amongst the three.
机译:现有的手动锄头是动态推拉除毛,但它们的设计基于静态力劳动。 开发了一个试验台,以优化速度和力施加。 在1.0 km h h(-1)时,操作员可以施加20到25 kgf。 基于优化的结果,与现有的双轮锄头(T)一起开发和评估V形叶片(V)和直叶片。 V和S Weeders的性能高于T.现场容量为0.026,0.033和0.33 ha H(-1)和能量支出分别为20.35,18.82和18.78 kJ min(-1),对于t,s和v ; 然而,v是三个中最好的。

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