Method of modeling the influence of manufacturing errors on characteristics of strain gauge force sensors

S. I. Gavrilenkov
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引用次数: 1

Abstract

This paper proposes a method for modeling the influence of manufacturing errors on the sensitivity of the strain gauge force sensors to side loads, bending, and torsional moments. The method works by defining various types of manufacturing errors (eccentricity, non-perpendicularity, non-straightness, etc.), that violate the structural symmetry of the sensor causing it to be sensitive to side loads and bending moments, and including these errors in a finite-element model of the sensor elastic element. The model undergoes stress analysis, and the stress-strain data is used to calculate the sensor sensitivity to side loads and bending moment. The method presented is implemented in a software module written in Python. The module employs the capabilities of the open-source software packages Salome-Meca and Code_Aster. In solving the task of designing strain gauge force sensors, this module can be used for assessing the manufacturability of sensor elastic elements. Besides, the method can be used as an educational tool for students to learn the influence of manufacturing errors on the performance of machined products.This paper proposes a method for modeling the influence of manufacturing errors on the sensitivity of the strain gauge force sensors to side loads, bending, and torsional moments. The method works by defining various types of manufacturing errors (eccentricity, non-perpendicularity, non-straightness, etc.), that violate the structural symmetry of the sensor causing it to be sensitive to side loads and bending moments, and including these errors in a finite-element model of the sensor elastic element. The model undergoes stress analysis, and the stress-strain data is used to calculate the sensor sensitivity to side loads and bending moment. The method presented is implemented in a software module written in Python. The module employs the capabilities of the open-source software packages Salome-Meca and Code_Aster. In solving the task of designing strain gauge force sensors, this module can be used for assessing the manufacturability of sensor elastic elements. Besides, the method can be used as an educatio...
制造误差对应变式力传感器特性影响的建模方法
本文提出了一种模拟制造误差对应变式力传感器对侧载荷、弯曲力矩和扭转力矩灵敏度影响的方法。该方法通过定义各种类型的制造误差(偏心、非垂直、非直线等)来工作,这些误差违反了传感器的结构对称性,导致传感器对侧载荷和弯矩敏感,并将这些误差包括在传感器弹性元件的有限元模型中。对模型进行应力分析,利用应力应变数据计算传感器对侧载和弯矩的灵敏度。该方法是在用Python编写的软件模块中实现的。该模块采用了开源软件包Salome-Meca和Code_Aster的功能。在解决应变式力传感器的设计问题时,该模块可用于评估传感器弹性元件的可制造性。此外,该方法还可以作为一种教育工具,让学生了解制造误差对加工产品性能的影响。本文提出了一种模拟制造误差对应变式力传感器对侧载荷、弯曲力矩和扭转力矩灵敏度影响的方法。该方法通过定义各种类型的制造误差(偏心、非垂直、非直线等)来工作,这些误差违反了传感器的结构对称性,导致传感器对侧载荷和弯矩敏感,并将这些误差包括在传感器弹性元件的有限元模型中。对模型进行应力分析,利用应力应变数据计算传感器对侧载和弯矩的灵敏度。该方法是在用Python编写的软件模块中实现的。该模块采用了开源软件包Salome-Meca和Code_Aster的功能。在解决应变式力传感器的设计问题时,该模块可用于评估传感器弹性元件的可制造性。此外,这种方法还可以作为一种教育方法。
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