【摘要】：煤礦剪式抓斗的挖掘過程是一個復雜的非線性動力學問題,由于動態(tài)平衡方程的不確定性使得該類問題的優(yōu)化設計不易實現(xiàn).建立了抓斗挖掘過程的數(shù)學模型,獲得了不同設計參數(shù)下的挖掘性能數(shù)據(jù)樣本點,然后構造了三因素五水平正交試驗;構建了物料挖掘過程目標函數(shù)的二次多項式響應面模型,并采用最小二乘法求解響應面模型中的待定系數(shù)向量.利用多目標優(yōu)化的理想點法對抓斗的幾何參數(shù)進行優(yōu)化,獲得了一種性能更優(yōu)的產品.與蒙特卡羅法的計算結果對比表明,該方法具有良好的預測能力,并大大減少了仿真計算的規(guī)模.
[Abstract]:The mining process of coal mine shearing grab is a complicated nonlinear dynamic problem. Because of the uncertainty of dynamic equilibrium equation, the optimization design of this kind of problem is difficult to realize. The mathematical model of grab mining process is established, the sample points of mining performance data under different design parameters are obtained, and then three factors and five levels orthogonal test are constructed, and the quadratic polynomial response surface model of object function in material mining process is constructed. The least square method is used to solve the undetermined coefficient vector in the response surface model. An ideal point method for multi-objective optimization is used to optimize the geometric parameters of grab bucket and a product with better performance is obtained. The comparison with the Monte Carlo method shows that the method has good prediction ability and greatly reduces the scale of simulation calculation.
【作者單位】： 同濟大學機械與能源工程學院;
【基金】：“十二五”國家科技支撐計劃(2014BAF08B05)
【分類號】：TD421

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1 李奎賢,宋桂秋,彭武良,王新中;挖掘過程及機械參數(shù)優(yōu)化設計[J];東北大學學報;2001年03期

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