Design and Experiment of 2BDB-6(110) Soybean Bionic Intelligent Till-sowing Machine
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    Abstract:

    Insufficient soil water content and slower accumulated temperature rise of the plow layer during spring time tillage in Northeast China severely restricts soybean root growth and soybean development. Based on these issues, a 2BDB-6(110) soybean bionic intelligent till-sowing machine was designed, which was capable of shallow loosening, soil crushing, seeding, ridging and compaction. This machine could significantly raise the soil temperature and water content of plow layer when sowing and fertilizing. And then the bionics, machinery design, reverse engineering and curve fitting were methodologically combined to design a hare claw toe bionic shallow loosening shovel and a pangolin scale bionic ridging shovel both with the anti-drag function, and microcontroller was used to design pressure intelligent monitoring system. Field comparative tests confirmed that the bionic shallow loosening and ridging tillage preparing devices significantly increased the soil temperatures within a certain range, which outperformed the traditional tillage sowing device in reducing operational drag by 13%~20% and the real-time pressure monitoring device can significantly enhance the stability of compaction intensity and increase the average soil water content (0~100mm) by 1.36%. Parameter optimization experiment suggested that the optimal parameters of tillage sowing combined operation were as follows: shallow loosening depth of 20cm,and compaction strength of 48kPa. By contrast verification test, it was found that compared with traditional seeding machine, the proposed machine could raise the soil temperature by 0.7℃(depth at 10cm),1.3℃(depth at 20cm) and 0.9℃(depth at 30cm, raise the average soil water content (0~100mm) by 0.47%, advance soybean emergence time by 0.52 d, and increase soybean yield by 2.05%. It was a powerful guarantee for per-unit-area soybean production in Northeast China.

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History
  • Received:January 24,2018
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  • Online: May 10,2018
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