Quantitative correction method for the grinding errors of cycloidal gears in precision reducer

Li, Tianxing; Li, Jinfan; Deng, Xiaozhong; Tian, Meng; Li, Yulong

doi:10.1299/jamdsm.2020jamdsm0052

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…Tooth contact analysis is one of the important means of studying meshing characteristics. The analysis method and model have been generated by some researchers [28] and [29]. In this section, the mathematical model of the cycloidal-pin transmission will be given for later use [6].…”

Section: Meshing Model Of Cycloidal-pin Gearmentioning

confidence: 99%

A Loaded Analysis Method for RV Cycloidal-pin Transmission Based on the Minimum Energy Principle

Tian

2020

SV-JME

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Due to the complexity of load distribution and contact conditions, as well as the lack of effective analysis methods, the theoretically designed rotary vector (RV) cycloidal-pin drive with good meshing characteristics shows poor loaded performance in practical applications. In this paper, an effective analysis method based on the minimum energy principle is proposed, which can accurately obtain the real loaded characteristics in line with the actual operations. In the process of loaded analysis, through the innovative introduction of the minimum energy principle, the actual number of teeth engaged simultaneously was accurately determined, which directly affects the quality of meshing. The results of simulation and measurement experiment demonstrate the correctness and practicability of the theoretical analysis method and the effectiveness of the introduction of the minimum energy principle. This study solves the problem that the actual meshing performance is inconsistent with the theoretical analysis results, and provides an effective way for the improvement and pre-control of the transmission accuracy and meshing quality of the robot RV reducer.

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Section: Meshing Model Of Cycloidal-pin Gearmentioning

confidence: 99%

A Loaded Analysis Method for RV Cycloidal-pin Transmission Based on the Minimum Energy Principle

Tian

2020

SV-JME

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“…The precision reducer is the core component of industrial robots, and its transmission performance directly affects the kinematic accuracy and repetitive positioning accuracy of the robot [1][2][3]. Assembly accuracy is critical to ensuring the transmission performance of the reducer, as it is the last step in the manufacturing process.…”

Section: Introductionmentioning

confidence: 99%

A prediction method for the backlash error of robot precision reducers based on optimal assembly

Li,

Yao,

et al. 2024

Meas. Sci. Technol.

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The kinematic accuracy and service life of robot precision reducers are directly affected by their assembly accuracy, and the backlash error is one of the most important performance indicators for evaluating the assembly accuracy. A prediction method for the backlash error of robot precision reducers is proposed, which can quickly and accurately calculate the backlash error of the optimal assembly reducers. Based on the optimal assembly process, the sensitive relationship between the errors of the crucial components and the assembly accuracy of the reducer is analysed, and the crucial errors affecting the backlash error are identified. The cumulative backlash of the crucial error along the dimensional chain is clarified, and the corresponding relationship between the backlash and the backlash error is determined. On this basis, backlash prediction models are established for the involute planetary gear and cycloidal-pin gear transmission parts, respectively. The mapping relationship between dimensional errors and backlash is also derived. Furthermore, the backlash error of the reducer is obtained by calculating the backlash error caused by each error term of the high-speed stage and low-speed stage transmission parts. Finally, the effectiveness and correctness of the prediction method are verified by the optimal assembly of RV reducers and the measurement of the backlash error. The theory and method proposed in this paper can quickly and accurately predict the backlash error of the reducer for robots, effectively predict the assembly accuracy of the selective reducers, significantly improve the assembly efficiency of the reducers, and then provide theoretical guidance and technical support for enhancing the assembly quality and kinematic accuracy of robot reducers.

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“…The excellent products reflect the consistency of the geometrical structure of the actual machined surface and the theoretically designed surface. The tooth surface geometry directly affects the meshing performance of the gear train, and is the calculation basis for improving the machining accuracy of the tooth surface and optimizing the machining motion of the machine tool [8]. At present, the main measurement method of bevel gears is the contact measurement of discrete grid points.…”

Section: Introductionmentioning

confidence: 99%

A measurement method for tooth surface errors of straight bevel gears based on 3D model

Li¹,

Li²,

Deng³

et al. 2020

Meas. Sci. Technol.

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Due to the inconsistency between a theoretically designed tooth surface and the actual measured reference surface, the tooth surface error data obtained by the traditional measurement method is unreliable, and incorrectly reflects the machining accuracy of straight bevel gears. This has become a key problem in the current measurement process, and needs to be resolved. In this paper, a new measurement method is proposed to achieve accurate measurement and evaluation of the machining error of straight bevel gears. The 3-dimensional (3D) model surface designed by the manufacturer is directly extracted as a theoretical reference to complete the measurement, which ensures the correctness of the error results. A measurement strategy of normal rotation of the measured point is adopted to make up for the disadvantages of the one-dimensional (1D) probe and improve the measurement accuracy. The problem of the sensitive direction of the probe deviating from the normal direction is compensated for by increasing the dimension of the 1D probe and reducing the dimension of the 3D normal. According to the constructed error calculation model, the minimum tooth surface error is obtained through reconstruction and optimal matching techniques. Finally, the accuracy and effectiveness of the measurement method are verified through measurement comparison experiments. This method solves the technical problem of the inconsistency of the measured reference surface, and uses a low-cost 1D probe to achieve precise measurement of the 3D surface. It not only improves the disadvantages of current measurement methods, but also provides effective technical support for other gear measurements.

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Quantitative correction method for the grinding errors of cycloidal gears in precision reducer

Cited by 5 publications

References 12 publications

A Loaded Analysis Method for RV Cycloidal-pin Transmission Based on the Minimum Energy Principle

A Loaded Analysis Method for RV Cycloidal-pin Transmission Based on the Minimum Energy Principle

A prediction method for the backlash error of robot precision reducers based on optimal assembly

A measurement method for tooth surface errors of straight bevel gears based on 3D model

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