操作速度、刀杆切割速度和牧草植物含水量对牧草收获机性能的影响

Gana I M, Gbabo A, Hassan A M, Yusuf A
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摘要

许多研究人员主张建立牧区和牧场耕作作为减少农牧民冲突的一种方法。在大多数发展中国家,牧场的收获都是用手工的方式进行的,这既繁琐又耗时。为此,研制了一种自走式饲草收割机。本研究探讨饲草植物含水量、刀杆切割速度和操作速度对饲草收获机切割和田间效率的影响。实验采用中心复合旋转设计(CCRD)。机器的测试表明,当运行速度为2.4 km/h,切割速度为55 m/min,牧草含水量为55%时,切割效率和田间效率最高,分别为94.42%和89.95%。刈割效率受刈割速度和牧草含水量的显著影响(P≤0.001),而各参数对田间效率的影响均显著(P≤0.001)。采用rsm中的期望函数法,通过数值优化对机床设置进行优化。结果表明,在2.33 km/hr的工作速度、54 m/min的切割速度和67%的植物含水量(wb)的组合下,切割效率为94.36%,现场效率为91.3%。这项研究的发现被用来建立能产生最佳机器性能的收割机设置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of operating speed, cutter bar cutting speed and forage plant moisture content on performance of a forage harvester
Many researchers have advocated for the establishment of grazing zones and pasture farming as one method of reducing conflict between farmers and herders. In most developing countries, pastures are harvested using manual means, which is tedious and time-consuming. As a result, a self-propelled forage harvester was developed. This research looks into the effects of forage plant moisture content, cutter bar cutting speed, and operating speed on the cutting and field efficiencies of the forage harvester. The experiment was based on a central composite rotatable design (CCRD). The machine's testing revealed that a combination of an operating speed of 2.4 km/h, a cutting speed of 55 m/min and forage plant moisture content of 55% yielded the highest cutting efficiency and field efficiency of 94.42% and 89.95%, respectively. The cutting efficiency was significantly (P≤0.001) affected by the cutting speed and the forage plant moisture content, whereas all the parameters significantly (P≤0.001) affected the field efficiency. The desirability function method in rsm was used to optimize the machine settings via numerical optimization. This resulted in a combination of 2.33 km/hr operating speed, 54 m/min cutting speed, and 67% plant moisture content (wb) that offered optimal values of cutting efficiency of 94.36% and field efficiency of 91.3%. The study's findings were used to establish harvester settings that would produce the best machine performance.
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