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Study on optimization of numerical solution of high speed angular contact ball bearing mechanics model

机译:高速角接触球轴承力学模型数值解的优化研究

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According to the theory of ring raceway control and Hertz contact, the quasi-static model of angular contact ball bearing under high speed is established. In this paper, an improved Newton-Raphson algorithm is proposed to deal with initial value determination, oscillation and slow convergence problems during solving the quasi-static model of the angular contact ball bearing by the traditional Newton-Raphson algorithm. Firstly, adopting the intermediate variables and solving the nonlinear equations step by step reduces the number of unknowns and the determination of the initial values respectively. Secondly, introducing the iterative correction factor in the improved Newton-Raphson algorithm suppress oscillation in the iterative process. Genetic search strategy is used to optimize the iterative correction factor, the convergence time is further shorted. Compared with the traditional algorithm, the proposed algorithm is superior. The algorithm can effectively decrease the difficulty of solving the quasi - static model of the angular contact ball bearing and improve the convergence efficiency.
机译:根据环滚道控制和赫兹接触的理论,建立了角接触球轴承在高速下的准静态模型。提出了一种改进的Newton-Raphson算法,解决了传统的Newton-Raphson算法求解角接触球轴承的准静态模型过程中的初值确定,振荡和慢收敛问题。首先,采用中间变量并逐步求解非线性方程,分别减少了未知数和初始值的确定。其次,在改进的Newton-Raphson算法中引入迭代校正因子可以抑制迭代过程中的振荡。遗传搜索策略用于优化迭代校正因子,收敛时间进一步缩短。与传统算法相比,该算法具有优越性。该算法可以有效地降低求解角接触球轴承准静态模型的难度,提高收敛效率。

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