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MULTI-OBJECTIVE OPTIMIZATION OF PIEZOELECTRIC MICROACTUATOR USING GENETIC ALGORITHMS

机译:使用遗传算法的压电微致动器多目标优化

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In flex-tensionai piezoactuators, due to the low displacement of piezostacks, a compliant mechanism is used to amplify displacement of piezostack. In this paper, optimization of a compliant mechanism with corner-filleted flexure hinges is carried out using real-coded genetic algorithms (GAs) to avoid trapping in local optimums. The objective functions are displacement amplification and stiffness of mechanism and design variables are cross-sectional size and material used. The constraints which are applied on mechanism are based on piezostack dimensions and manufacturing limits. Displacement amplification and stiffness are calculated using strain energy and Castigliano's displacement theorem.
机译:在Flex-Tengingai压电子中,由于压电管的低位移,柔顺机构用于放大压电棒的位移。在本文中,使用实际编码的遗传算法(气体)来进行柔性机理的优化,以避免捕获局部最佳速度。目标功能是位移放大和机构刚度,设计变量是所用横截面尺寸和材料。应用于机构的约束是基于压电桥尺寸和制造限制。使用应变能量和Castigliano的位移定理来计算位移放大和刚度。

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