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TOLERANCE PREDICTION IN MODULAR FIXTURES AND PROPOSAL OF SENSOR-BASED MODULAR FIXTURES

机译:模块化夹具的公差预测及基于传感器的模块化夹具的建议

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This paper presents a methodology to predict manufacturing tolerances when the most important source of error is the locators variability. The locators variability is modeled as a multivariate normal system where the dependence among locators errors due to clamping deformations is considered. The tolerance of a feature is modeled as a function of the deviations among the points that define the feature. A case study with a 3-2-1 modular fixture is presented and both simulations and experiments were conducted to validate the methodology proposed. The experimental results confirm a good approximation between the predicted tolerance and the measured one (1.9 mm and 2.1 mm, respectively). To improve workpiece location, this paper also presents the potential use of precision sensors integrated in modular systems. For the case study, it is estimated a parallelism tolerance improvement from 1.9 mm to 0.47 mm when the workpiece is set up in a sensor-based fixture.
机译:当误差的最重要来源是定位器可变性时,本文提出了一种预测制造公差的方法。定位器的可变性被建模为多元正态系统,其中考虑了由于夹紧变形而导致的定位器误差之间的相关性。将特征的容差建模为定义特征的点之间的偏差的函数。提出了使用3-2-1模块化夹具的案例研究,并进行了仿真和实验以验证所提出的方法。实验结果证实了预测公差与实测公差(分别为1.9 mm和2.1 mm)之间的近似值。为了改善工件位置,本文还介绍了集成在模块化系统中的精密传感器的潜在用途。对于案例研究,估计将工件安装在基于传感器的夹具中时,平行度公差将从1.9 mm提高到0.47 mm。

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