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基于ADAMS的甜菜收獲機自動對行探測機構(gòu)仿真
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公益性行業(yè)(農(nóng)業(yè))科研專項資助項目(200903053)、農(nóng)業(yè)部948引進重點資助項目(2011-G10)和中國農(nóng)業(yè)科學院基本科研經(jīng)費資助項目


Simulation of Auto-follow Row Detection Mechanism in Beet Harvester Based on ADAMS
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    摘要:

    設(shè)計了土下果實收獲機械自動對行機構(gòu)。應(yīng)用UG建立了自動對行機構(gòu)三維模型,并將其導入機械系統(tǒng)動力學仿真軟件ADAMS中構(gòu)建了虛擬樣機模型。通過設(shè)置模型參數(shù),添加約束和驅(qū)動,以甜菜為收獲對象,實現(xiàn)了在ADAMS/View環(huán)境下自動對行的運動仿真。以自動對行機構(gòu)復位彈簧的剛度、預緊力和作業(yè)前進速度為影響因素,以角度傳感器獲得的角速度為目標函數(shù)表征自動對行靈敏度及漏挖率,對影響自動對行的參數(shù)進行了虛擬正交試驗研究,并進行了田間驗證試驗。結(jié)果表明,復位彈簧剛度的影響不顯著,當復位彈簧預緊力為200 N、作業(yè)前進速度為1.5 m/s時,漏挖損失率最小。

    Abstract:

    An auto-follow row mechanism was designed. A three-dimensional model of the auto-follow row mechanism was built under the application of UG, and then imported to the mechanical system dynamics simulation software ADAMS to build a virtual prototype model. Taking beet as harvest object, the simulation of the auto-follow row movement in ADAMS / View environment was conducted by setting the model parameters, adding constraints and drive. Taking the return spring stiffness, reset spring preload and operating forward speed of the auto-follow row mechanism as influencing factors, and taking the angular velocity of the angle sensor as the objective function to characterize auto-follow row sensitivity and drain digging rate, a virtual orthogonal test of parameters was performed, which affected auto-follow row movement. A field verification test was also carried out and the results showed that the effect of the return spring stiffness was not significant. When the return spring preload force was 200 N, the forward operating speed was 1.5 m/s, and the drain dug loss rate was minimum.

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王申瑩,胡志超,彭寶良,吳惠昌,顧峰瑋,王海鷗.基于ADAMS的甜菜收獲機自動對行探測機構(gòu)仿真[J].農(nóng)業(yè)機械學報,2013,44(12):62-67. Wang Shenying, Hu Zhichao, Peng Baoliang, Wu Huichang, Gu Fengwei, Wang Haiou. Simulation of Auto-follow Row Detection Mechanism in Beet Harvester Based on ADAMS[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(12):62-67.

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  • 在線發(fā)布日期: 2013-12-05
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