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通过力学建模快速估计十字梁六轴力/扭矩传感器的应变。

Fast estimation of strains for cross-beams six-axis force/torque sensors by mechanical modeling.

机构信息

Jiangsu Key Laboratory of Remote Measurement and Control, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China.

出版信息

Sensors (Basel). 2013 May 17;13(5):6669-86. doi: 10.3390/s130506669.

Abstract

Strain distributions are crucial criteria of cross-beams six-axis force/torque sensors. The conventional method for calculating the criteria is to utilize Finite Element Analysis (FEA) to get numerical solutions. This paper aims to obtain analytical solutions of strains under the effect of external force/torque in each dimension. Genetic mechanical models for cross-beams six-axis force/torque sensors are proposed, in which deformable cross elastic beams and compliant beams are modeled as quasi-static Timoshenko beam. A detailed description of model assumptions, model idealizations, application scope and model establishment is presented. The results are validated by both numerical FEA simulations and calibration experiments, and test results are found to be compatible with each other for a wide range of geometric properties. The proposed analytical solutions are demonstrated to be an accurate estimation algorithm with higher efficiency.

摘要

应变分布是十字梁六轴力/扭矩传感器的关键指标。传统的计算该指标的方法是利用有限元分析(FEA)得到数值解。本文旨在获得在各维度外力/扭矩作用下的应变的解析解。本文提出了十字梁六轴力/扭矩传感器的遗传力学模型,其中可变形的十字弹性梁和挠性梁被建模为准静态的铁木辛柯梁。本文详细介绍了模型假设、模型理想化、应用范围和模型建立。通过数值有限元模拟和校准实验对结果进行了验证,对于大范围的几何特性,测试结果与模拟结果吻合良好。所提出的解析解被证明是一种高效且精确的估计算法。

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