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Configuration optimization of laser tracker stations for large-scale components in non-uniform temperature field using Monte-Carlo method

机译:使用Monte-Carlo方法在非均匀温度场中大规模分量激光跟踪器的配置优化

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The laser trackers play an important role in fabrication and assembly of aircraft, spacecraft and other large-scale products, and optimization of laser tracker configuration station is one of the core issues. When laser trackers are used on the shop floor, environment factors, especially non-uniform temperature can induce considerable measurement uncertainty. Aiming to reduce measurement uncertainty of laser tracker, optimization of laser tracker configuration station for large-scale components in non-uniform temperature field using the Monte-Carlo method is proposed. Firstly, an improved mathematical model for measurement uncertainty of laser tracker is established. This mathematical model is more applicable to measurement uncertainty evaluation of laser tracker because it takes main measurement uncertainty sources (mechanism system and non-uniform temperature) into account. Secondly, the Monte-Carlo method is used to evaluate measurement uncertainties of laser tracker in different configuration stations. Based on the measurement mathematical model, a serial of simulation data can be generated to evaluate the uncertainty of measurement task. Through iterations, the optimal configuration station of laser tracker, in which measurement uncertainty is minimal, can be obtained. Finally, an example of measurement scenario about measuring the inspection jig of an aircraft door demonstrates that the proposed method is feasible and effective. The proposed approach to identify the optimal position of laser tracker is intuitionistic and efficient. d Innovation for Future Production
机译:激光跟踪器在飞机,航天器和其他大型产品的制造和组装中起重要作用,激光跟踪器配置站的优化是核心问题之一。当激光跟踪器在车间使用时,环境因素,特别是非均匀的温度会导致相当大的测量不确定性。旨在减少激光跟踪器的测量不确定性,提出了使用Monte-Carlo方法的非均匀温度场的大规模分量的激光跟踪器配置站的优化。首先,建立了改进的激光跟踪器的测量不确定度的数学模型。该数学模型更适用于对激光跟踪器的测量不确定性评估,因为它考虑了主要测量不确定性源(机制系统和不均匀的温度)。其次,Monte-Carlo方法用于评估不同配置站中激光跟踪器的测量不确定性。基于测量数学模型,可以生成串行模拟数据来评估测量任务的不确定性。通过迭代,可以获得激光跟踪器的最佳配置站,其中测量不确定度最小化。最后,关于测量飞机门的检查夹具的测量场景的示例表明该方法是可行且有效的方法。所提出的识别激光跟踪器的最佳位置的方法是直观和有效的。 D创新未来生产

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