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Shape estimation of a bent and twisted cylinder using strain from a sensor array in triple helices

机译:使用三重螺旋中传感器阵列的曲折和扭曲圆筒的形状估计

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This study proposes the use of strain sensors in a triple-helix configuration to measure the bending and twist deformation in a cylinder. Arranging the strain sensors on the cylinder in a triple-helix structure allows us to measure the twist and bending deformation simultaneously. The method consists of two steps: first to determine the local deformation factors from the surface strains, and second to reconstruct the overall deflected shape of the cylinder from the local deformation factors. We derived an exact analytical formula for the surface strain on a bent and twisted cylinder according to the deformation variables based on our original superhelix model, in which we regard the deformed cylinder segment as a helical coil and the sensors bound upon it as segments of superhelices. The local deflection rates are iteratively computed by the Newton-Raphson method using the surface strain formula. We incorporate the local deflection rates into the helical extension method, which is an exact solution to the Frenet-Serret formulas, to reconstruct the overall deflected shape of the cylinder. From the simulations, the proposed method was shown to determine the overall deformation state of a cylindrical body with remarkable precision. The position errors decreased rapidly with shorter spatial intervals of strain sensing and lower rates of the helical periodicity of the sensor arrays, showing a strong trend of convergence. Moreover, the pin-pointedness of the strain sensing was found to be one of the most crucial factors when attempting to ensure high accuracy of the shape estimation results. This study demonstrates a potential for general applicability to various fields, especially for the shape sensing of multicore optical fibers.
机译:本研究提出在三螺旋配置中使用应变传感器来测量气缸中的弯曲和扭曲变形。将汽缸上的应变传感器布置在三螺旋结构中,使我们能够同时测量扭曲和弯曲变形。该方法由两个步骤组成:首先确定来自表面应变的局部变形因子,第二个是从局部变形因子重建汽缸的总偏转形状。根据我们的原始超强型模型,我们通过基于我们的原始超强型模型的变形变量来衍生用于弯曲和扭曲圆柱体的表面应变的精确分析公式,其中我们将变形的圆柱段视为螺旋线圈,并且在其上绑定在其上的传感器。使用表面应变公式,牛顿-Raphson方法迭代地计算局部偏转率。我们将局部偏转速率纳入螺旋延伸方法,该方法是FRENET-SERRET公式的精确解决方案,以重建气缸的整体偏转形状。从模拟中,示出了所提出的方法,以确定圆柱体的整体变形状态,具有显着的精度。位置误差随着应变感测的较短空间间隔和传感器阵列的螺旋周期性的较低速率而迅速下降,显示出的趋同趋势。此外,发现应变感测的销指向是在试图确保形状估计结果的高精度时最重要的因素之一。该研究表明对各种领域的一般适用性的潜力,特别是对于多芯光纤的形状感测。

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