An error similarity-based error-compensation method for measurement in the nonuniform temperature field

Zeng, Qi; Li, Shuanggao; Deng, Zhaohui; Huang, Xiang

doi:10.1088/1361-6501/ab7bc0

Cited by 12 publications

(4 citation statements)

References 32 publications

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“…The Leica AT901-MR laser tracker is an example in this paper. Where the laser tracker measurement range accuracy is ±(10 µm + 0.5 µm/m) and the angular uncertainty is ±2 arcseconds (Zeng et al , 2020). The uncertainty of the equipment directly affects the measurement accuracy.…”

Section: Analysis Of Measurement Systems and Registration Error Factorsmentioning

confidence: 99%

Research on ERS point registration of large-size measurement field based on neural network non-uniform temperature field

Huang

2023

RIA

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Purpose Large size of aircraft assembly tooling structure and complex measurement environment exist. The laid enhanced reference points (ERS) are subject to a combination of nonuniform temperature fields and measurement errors, resulting in increased measurement registration errors. In view of the nonuniform temperature field and measurement errors affecting the ERS point registration problem, the purpose of this paper is to propose a neural network-based ERS point registration compensation method for large-size measurement fields under a nonuniform temperature field. Design/methodology/approach The approach is to collect ERS point information and temperature data, normalize the collected data to complete the data structure design and complete the construction of the neural network prediction model by data training. The data learning is performed to complete the prediction model construction, and the prediction model is used to complete the compensation analysis of ERS points. Finally, the algorithm is verified through experiments and engineering practice. Findings Experimental results show that the proposed neural network-based ERS point prediction and compensation method for nonuniform temperature fields effectively predicts ERS point deformation under nonuniform temperature fields compared with the conventional method. After the compensation analysis, the registration error is effectively reduced to improve registration accuracy. Reducing the combined effect of environmental nonuniform temperature field and measurement error has apparent advantages. Originality/value The method reduces the registration error caused by combining a nonuniform temperature field and measurement error. It can be used for aircraft assembly site prediction and registration error compensation analysis, which is essential to improve measurement accuracy further.

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Section: Analysis Of Measurement Systems and Registration Error Factorsmentioning

confidence: 99%

Research on ERS point registration of large-size measurement field based on neural network non-uniform temperature field

Huang

2023

RIA

Self Cite

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“…The importance of overcoming the problems caused by ambient temperature changes has been recognised in coordinate transformation research. Zeng et al [6] indicated that the theoretical position of measured objects would change owing to thermal expansion, and increases the error of coordinate transformation. The temperature control systems are usually deployed to maintain the temperature of assembly factories at the SRT value [7], like air conditioners, but they are costly and not practical in the assembly workshop for large and complex products.…”

Section: Introductionmentioning

confidence: 99%

“…However, the temperature field of the large-scale assembly space would become nonuniform and even shift as time goes by during the assembly process [15,16]. Zeng et al [6] found that the nonuniform temperature field could introduce extra error to the measurement process and proposed a similarity-based error compensation approach for laser tracker. Li et al [17] established a mathematical relationship between temperature change and the coordinate offset of reference points on a variable curvature workpiece with measuring the data under a nonuniform temperature field, whereas the obtained mathematical relationship is only suitable for the experimental object.…”

Section: Introductionmentioning

confidence: 99%

Spatially discretised compensation method for coordinate transformation in large-scale metrology under nonuniform temperature field

Luo¹,

Yu²,

Wang³

et al. 2022

Meas. Sci. Technol.

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Temperature-variation-induced error compensation plays a pivotal role in large-scale metrology, in which the nonuniform temperature field would greatly influence the coordinate transformation process between different systems. This paper proposes a novel analytical thermal deformation compensation method with spatial discretisation modelling among 2-D distributed Enhanced Reference System points to reduce the thermal influence on the coordinate transformation process. First, the analytical thermal deformation model based on the spatial discretisation is established with the plane thermal elastic mechanics and the Finite Difference Method. Then the nonuniform temperature field model is developed based on Ordinary Kriging spatial interpolation. Finally, a compensation method for the coordinate transformation process is proposed based on the actual measurement data and the proposed thermal deformation model. The experimental results illustrate the existence and significance of the nonuniform feature of the temperature field. By the proposed compensation method, the coordinate transformation error is reduced by 47.13% and 76.67% in the x and y directions, respectively. The method is applicable to diminish the influence of thermal deformation under a nonuniform temperature field on the coordinate transformation of large-scale metrology.

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“…Oriented to the visual network system, whose essence is multi-vision measurement, weighted algorithms have been proposed to handle the accuracy problem [11,12]. In addition, multiple optimization methods based on the total least squares have been applied to improve registration uncertainty, which is affected by both measurement errors and configuration errors [13][14][15]. In the area of system configuration, the locations of enhanced reference points that work as a transformation basis have been thoroughly studied.…”

Section: Introductionmentioning

confidence: 99%

A cost-effective planning method for automatic measurement based on task similarity and octopus optimization

Li¹,

Zeng²,

Chen³

et al. 2021

Meas. Sci. Technol.

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Measurement planning is vital for automatic and digitalized aircraft assembly, and in particular, for the key execution sequences. In this article, a novel planning method that considers both order and efficiency is proposed. General rules are defined for the analysis of measurement tasks and their elements. A Laplace kernel function is then utilized for similarity quantification, and based on iterative two-step elementary transformations of the similarity matrix, the clustering of measurement tasks is achieved. A virtual task is proposed to bridge task clusters, and the preliminary sequences are obtained naturally. Given that the adjacent association results may not be the most efficient, octopus optimization is proposed to solve this special case of the traveling salesman problem. The measurement tasks and clusters are shops and cities, respectively. The octopus has multiple tentacles that traverse all shops, and each tentacle carries one feasible execution order. Experiments performed using aircraft inspection indicate that the proposed method can output multiple orderly measurement sequences. Compared with the preliminary sequences, the efficiency is obviously improved in terms of a decrease in the total measurement time. In addition, the optimal sequences are more even, and the duty ratio of the measurement device is decreased.

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An error similarity-based error-compensation method for measurement in the nonuniform temperature field

Cited by 12 publications

References 32 publications

Research on ERS point registration of large-size measurement field based on neural network non-uniform temperature field

Research on ERS point registration of large-size measurement field based on neural network non-uniform temperature field

Spatially discretised compensation method for coordinate transformation in large-scale metrology under nonuniform temperature field

A cost-effective planning method for automatic measurement based on task similarity and octopus optimization

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