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Collaborative optimization of NURBS curve cross-section in a telescopic boom

机译:伸缩吊杆中NURBS曲线横截面的协作优化

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To improve the carrying capacity and reduce the weight of telescopic boom structure in a truck crane, a Collaborative optimization (CO) approach was applied to solve the problems of strength, stiffness and local stability in the telescopic boom structure. First, the complex optimization problem of the telescopic boom structure was decomposed into two-level optimizations: the system level and two subsystem levels for strength and local stability. Second, the underside curve of the boom's cross-section was constructed by the Non-uniform rational B-Splines (NURBS) curve. 3D parametric solid model and the parametric finite element analysis model for the strength and the local stability were then established. Third, the mathematical models of the strength and local stability for the subsystem levels, and the system level were optimized, respectively. The adaptive relaxation factor algorithm and the penalty function approach were applied to improve the efficiency of CO. Next, the CO process which integrates the ANSYS package with ISIGHT platform was implemented. The optimal results show that the carrying capacity of the telescopic boom structure can be significantly improved and its weight efficiently is reduced. Finally, with the comparison of the stress values obtained from both the experimental test and the theoretical computation, highly coincident results could be obtained to verify the reliability of CO of a telescopic boom.
机译:为了提高卡车起重机在卡车起重机中伸缩动臂结构的重量,应用了协作优化(CO)方法来解决伸缩悬臂结构中的强度,刚度和局部稳定性的问题。首先,伸缩悬臂结构的复杂优化问题被分解成两级优化:系统级和两个子系统水平,用于强度和局部稳定性。其次,悬臂横截面的下侧曲线由非均匀的Rational B样条(NURBS)曲线构成。然后建立了3D参数实体模型和参数化有限元分析模型及局部稳定性。三,分别优化了子系统水平的强度和局部稳定性的数学模型,以及系统级别。应用自适应松弛因子算法和惩罚功能方法提高了CO的效率。接下来,实现了与ISIGHT平台集成了ANSYS包的CO过程。最佳结果表明,伸缩臂结构的承载能力可以显着改善,其重量有效地减少。最后,随着从实验测试和理论计算获得的应力值的比较,可以获得高度重合的结果以验证伸缩吊杆CO的可靠性。

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