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首页> 外文会议>Mechanisms and Robotics Conference;ASME International Design Engineering Technical Conferences;Computers and Information in Engineering Conference >DESIGN AND DEVELOPMENT OF A CONSTANT FORCE NON-LINEAR SPRING (CF-NLS)FOR ENERGY STORAGE
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DESIGN AND DEVELOPMENT OF A CONSTANT FORCE NON-LINEAR SPRING (CF-NLS)FOR ENERGY STORAGE

机译：恒力非线性弹簧（CF-NLS）的设计与开发用于储能

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Development of constant force non-linear softening (CF-NLS) springs has recently gained attention in the literature due to their energy storage potential in many applications including robotics,biomechanics,machining,etc.These springs are typically designed by using computationally exhaustive topology optimization techniques which have shown to produce stress concentrations significantly reducing the operational life of the spring.Furthermore,current design methodologies including spline based optimizations are not exploiting the design space efficiently.There is a need of a computationally efficient design methodology capable of producing mechanisms without stress concentrations while more fully exploiting the design space.A new graph based design methodology is proposed by using a modified-depth first search (M-DFS) algorithm with 2D finite element analysis.A detailed parametric study is also conducted to design a mechanism by maximizing of the stored strain energy on a general stiffest-softening behavior.The proposed CF-NLS is validated experimentally and compared with mechanisms in the literature.It is observed that the proposed CF-NLS is providing more displacement capacity without stress concentrations and with less expensive materials due to improved exploitation of the design space.This proposed CF-NLS is beneficial for dynamic activities like walking,running and jumping robots or biomechanics where high energy storage capacity is required.
机译：由于它们在包括机器人，生物力学，加工等中的许多应用中，恒定的恒定力非线性软化（CF-NLS）弹簧最近在文献中获得了注意力。这些弹簧通常通过使用计算穷举优化设计显着降低了弹簧的操作寿命的技术。许多，当前的设计方法，包括花键基于优化的当前设计方法没有有效地利用设计空间。需要一种能够产生没有压力的机制的计算有效的设计方法浓度，同时更充分地利用该设计space.A新基于图形的设计方法，通过使用经修改的深度优先搜索提出（M-DFS）算法二维有限元analysis.A详述参数研究还进行通过最大化设计一种机制储存的应变能量在一般僵硬上EST-软化行为。所提出的CF-NLS是通过实验验证的，并与文献中的机制进行了验证。观察到所提出的CF-NLS在没有应力浓度的情况下提供更多的位移容量，并且由于改善了对设计的利用而具有更低昂贵的材料。空间。这提出了CF-NLS对行走，跑步和跳跃机器人或生物力学等的动态活动是有益的，其中需要高能量存储容量。

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