Error identification of measurement software based on digital twin of gear measuring center

Lu, Chunxia; Wang, Jianhua; Yin, Peili; Lin-yan, Wang

doi:10.1016/j.measurement.2020.108666

Cited by 16 publications

(7 citation statements)

References 10 publications

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“…Chunxia L et al [9] designed a compensation algorithm for contact measurement software, built a digital twin model (DTGMC) based on gear measurement center, and used it as an evaluation platform. However, without proper test equipment, the software cannot match the errors found in real experiments.…”

Section: 2 State Of the Artmentioning

confidence: 99%

Research on gear profile deviation detection method based on linear structured light

Jiang,

Zhang,

et al. 2024

Int J Adv Manuf Technol

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Gear requires a reliable, holistic, and rapid inspection method to ensure manufacturing accuracy. Linear structured light provides a fast and effective solution to meet the rapid testing requirements of gear manufacturers. But its accuracy still needs to be improved. This method can obtain 33000 3D data points of a single gear tooth surface in less than 0.3 seconds. And based on this, evaluate the tooth profile error of the gear. The results indicate that the measurement deviation amount to 1.47μm in measuring gears of level 7 accuracy compared to the gear measurement center. The error mainly comes from the equipment error and the downsampling process using centroid method. In the measurement process, the larger the deviation between the contact position of the gear and the light and the focus position of the linear structured light, the greater the error. The larger the neighborhood search radius during the calculation process, the larger the error.

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Section: 2 State Of the Artmentioning

confidence: 99%

Research on gear profile deviation detection method based on linear structured light

Jiang,

Zhang,

et al. 2024

Int J Adv Manuf Technol

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“…However, in the actual detection process, the accuracy will be affected by the geometric error of the detection equipment itself, the type of probe, and the corresponding data 2 of 14 compensation method [7,8]. Given this, many scholars have completed lots of research on the detection method of face gear.…”

Section: Introductionmentioning

confidence: 99%

Path Optimization of Aircraft-Gear-Tooth-Surface Detection Based on Improved Genetic Algorithm

Chu,

Zhou

2024

Processes

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Aiming at the problems of low detection efficiency and complexity of aircraft gear tooth surfaces, a path optimization algorithm based on an improved genetic algorithm is proposed. The detection area of the tooth surface is planned, the sampling points of the tooth surface are determined based on the digital technology of the tooth surface, and the sampling mesh is obtained by the truncated plane method to reduce the sampling distortion of the shape and improve the sampling efficiency. Adaptive crossover and mutation probability are used to improve the convergence speed and accuracy of the genetic algorithm. The selected individuals of the binary tournament are used to guide the global optimal search by a simulated annealing algorithm, and the local optimal is avoided by the Metropolis criterion. In the simulation experiment, the proposed method and other algorithms are used to optimize the detection path. The optimized tooth-surface-detection path has the shortest distance and the shortest time, that is, the tooth-surface-detection path efficiency is improved, verifying the practicability of the algorithm.

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“…One approach involves creating a digital twin of the gear measurement center and compensating for errors based on the error model, which can enhance the measurement accuracy to a certain extent. For example, Lu 14 built the digital twin of a gear measuring center (DTGMC) as an evaluation platform for various measurement software. It can effectively identify various errors, providing a new idea for the independent evaluation of measurement software.…”

Section: Introductionmentioning

confidence: 99%

Spatial error modeling and accuracy distribution of line laser gear measuring center

Zhang,

Yang,

Liu

2023

Measurement and Control

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The Line laser gear measuring center (LLGMC) is an innovative gear measurement equipment that offers high efficiency but low accuracy. One crucial factor that influences its measurement accuracy is the presence of geometric errors. In this study, we conducted a thorough analysis of these geometric errors and proposed a method for modeling spatial errors. Instead of directly considering the geometric errors, we replaced them with the installation errors of the gear and line laser probe. This approach simplifies and improves the error transmission relationship. Subsequently, the installation errors are converted into a unified representation of the height error of the incident light from the line laser. A spatial error model that considers nine installation errors is then further established. By numerically calculating the sensitivity of different error sources, we effectively identified the errors that have a significant impact on the accuracy of LLGMC. Moreover, accuracy distribution is carried out to ensure that LLGMC can meet the measurement accuracy requirements for gears with a tolerance class of 6. This article provides a theoretical foundation for the structural design and accuracy assurance of LLGMC during the research and development phase.

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Error identification of measurement software based on digital twin of gear measuring center

Cited by 16 publications

References 10 publications

Research on gear profile deviation detection method based on linear structured light

Research on gear profile deviation detection method based on linear structured light

Path Optimization of Aircraft-Gear-Tooth-Surface Detection Based on Improved Genetic Algorithm

Spatial error modeling and accuracy distribution of line laser gear measuring center

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