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基于传统马勒里举升机构设计出一种新型举升机构,该改进型举升机构与传统马勒里举升机构相比,能够在不增大举升力系数的前提下,缩短液压缸的初始长度,机构所需的安装空间小。基于机构运动及受力分析建立改进型举升机构的多目标优化数学模型,并采用第二代非支配排序遗传算法(NS GA-Ⅱ)进行优化,获得一组Pareto最优解集,同时对举升机构中的重要部件三角臂进行刚柔耦合分析,得到三角臂最大应力点处应力在举升过程中的变化曲线,为举升三角臂的优化设计提供参考。
A new lifting mechanism is designed based on the traditional Mallet lift mechanism. Compared with the traditional Mallet lift mechanism, the improved lifting mechanism can shorten the initial cylinder without increasing the lift coefficient Length, the installation space required for the organization is small. Based on the mechanism movement and force analysis, a multi-objective optimization mathematical model of the improved lifting mechanism was established and optimized by the second generation non-dominated ranking genetic algorithm (NSGA-Ⅱ) to obtain a set of Pareto optimal solution sets. Rigid-flexible coupling analysis of the trilateral arm, which is the important part in the lifting mechanism, obtained the curve of the stress during the lifting process at the maximum stress point of the triangular arm, which provides a reference for the optimization design of the lifting triangular arm.