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Multi-Objective Parametric Optimization of an Equilibrator Mechanism

机译:平衡器机构的多目标参数优化

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In order to eliminate the moment unbalance of rotary systems, a certain type of equilibrator mechanism which is able to perfectly balance is utilized. It includes helical spring(s), a pulley and a cable attached to a certain hinge point on the rotary body. Actual implementations of the mechanism may not allow realization of the conditions for perfect balancing. Then, the problem is transformed into a multi objective constrained optimization, which includes multiple parameters and multiple objectives like minimizing the residual moment unbalance, minimizing the diameter and the length of the spring(s), maximizing the spring fatigue life as well necessity to satisfy some geometrical layout constraints and operational constraints on the springs. The system has been modeled in a quasi-static manner and optimized parametrically around the regions of operation. Pareto optimal fronts have been determined and the optimized parameters have been used as design parameters for realization of the actual system. The design of the mechanism has been algorithmically automated based on the requirements and constraints.
机译:为了消除旋转系统的时刻不平衡,利用能够完全平衡的某种类型的平衡机构。它包括螺旋弹簧,滑轮和连接到旋转体上的某个铰接点的电缆。机制的实际实现可能不允许实现完美平衡的条件。然后,将问题变为多目标限制优化,其包括多个参数和多个目标,例如最小化残留力矩不平衡,最小化弹簧的直径和长度,最大化弹簧疲劳寿命,以及满足的必要性一些几何布局限制和弹簧的操作约束。该系统已经以准静态方式建模并参加围绕操作区域进行了优化。已经确定了Pareto最佳前端,并且优化的参数已被用作实现实际系统的设计参数。该机制的设计已经根据要求和约束进行算法自动化。

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