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首页> 外文期刊>ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B. Mechanical Engineering >Geometric Error Modeling and Sensitivity Analysis of Single-Axis Assembly in Three-Axis Vertical Machine Center Based on Jacobian-Torsor Model
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Geometric Error Modeling and Sensitivity Analysis of Single-Axis Assembly in Three-Axis Vertical Machine Center Based on Jacobian-Torsor Model

机译:基于Jacobian-Torsor模型的三轴立式机中心单轴组装的几何误差建模与灵敏度分析

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摘要

The influence of component errors on the final error is a key point of error modeling of computer numerical control (CNC) machine tool. Nevertheless, the mechanism by which the errors in mechanical parts accumulate to result in the component errors and then impact the final error of CNC machine tool has not been identified; the identification of this mechanism is highly relevant to precision design of CNC machine. In this study, the error modeling based on the Jacobian-torsor theory is applied to determine how the fundamental errors in mechanical parts influence and accumulate to the comprehensive error of single-axis assembly. First, a brief introduction of the Jacobian-torsor theory is provided. Next, the Jacobian-torsor model is applied to the error modeling of a single-axis assembly in a three-axis machine center. Furthermore, the comprehensive errors of the single-axis assembly are evaluated by Monte Carlo simulation based on the synthesized error model. The accuracy and efficiency of the Jacobian-torsor model are verified through a comparison between the simulation results and the measured data from a batch of similar vertical machine centers. Based on the Jacobian-torsor model, the application of quantitative sensitivity analysis of single-axis assembly is investigated, along with the analysis of key error sources to the synthetical error ranges of the single-axis assembly. This model provides a comprehensive method to identify the key error source of the single-axis assembly and has the potential to enhance the tolerance/error allocation of the single axis and the whole machine tool.
机译:组件误差对最终误差的影响是计算机数控(CNC)机床的误差建模的关键点。然而,机械部件误差累积的机制,以导致组件误差,然后尚未识别CNC机床的最终误差;该机制的识别与CNC机器的精度设计高度相关。在这项研究中,应用了基于Jacobian-Torsor理论的误差建模,以确定机械部件的基本误差如何影响和累积到单轴组装的综合误差。首先,提供了简要介绍了雅略织物理论。接下来,雅可织物模型应用于三轴机器中心中的单轴组件的误差建模。此外,基于合成误差模型的蒙特卡罗模拟评估了单轴组件的综合误差。通过仿真结果与来自类似垂直机中心的测量数据之间的比较来验证Jacobian-rorsor模型的准确性和效率。基于Jacobian-rorsor模型,研究了单轴组件的定量灵敏度分析的应用,以及对单轴组件的合成误差范围的关键误差源的分析。该模型提供了一种识别单轴组件的关键误差源的综合方法,并且具有增强单轴和整个机床的公差/错误分配。

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