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"전달오차"

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"전달오차"

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A Study on the High Efficiency and Low Noise Design of Electric Industrial Gearboxes
Nam Yong Kim, Jin-Uk Baek, Sung Ki Lyu
J. Korean Soc. Precis. Eng. 2024;41(4):243-250.
Published online April 1, 2024
DOI: https://doi.org/10.7736/JKSPE.023.099
Development and research on electric vehicles in power transmission system are increasing as the demand for ecofriendly and autonomous vehicles increases across the industry. In order to reduce noise, research on high efficiency and low noise due to electrification of the gearbox system is being actively conducted, such as applying design technology to optimize the shape of the gear and increase rigidity. In particular, research on low noise is active because the noise of the electric gearbox could be easily recognized in a vehicle, even with small noise due to its frequency characteristics. Therefore, in this study, effects of main specifications of gears on noise and power loss were studied and analyzed through a Parametric Study. Characteristics of the proportional relationship between noise and power loss according to major specifications were analyzed. Based on study results, NVH analysis in the gear system was performed. After that, actual data were secured through test measurements and a noise reduction effect of 4.4 dB was confirmed.
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Noise and PPTE Analysis of Electric Gear System with Parametric Study
Nam Yong Kim, Jin-Uk Baek, Gi-Myung Gwak, Sung Ki Lyu
J. Korean Soc. Precis. Eng. 2023;40(3):223-228.
Published online March 1, 2023
DOI: https://doi.org/10.7736/JKSPE.022.148
The gear overlap ratio shows the characteristics of the spur gear and the helical gear and varies according to the torsional angle. The gear ratio, tooth width, and center distance, which are restricted in a space of performance and manufacturing and design in the gearbox, are fixed. A parametric study on modules, the number of teeth, and torsion angles was conducted to analyze the relationship between the overlap ratio and PPTE. Then, contact analysis was performed by correcting the tooth profile to improve the transmission error. Contact analysis was performed through correction of the tooth modification to improve transmission error, and the noise was analyzed according to the overlap ratio by applying a noise prediction equation.

Citations

Citations to this article as recorded by  Crossref logo
  • Study on the Modification of the Contact Pattern and Teeth Shape of Tapping Device Drive Gears
    Sung-Min Moon, Yong-Woo Park, Do-Young Lee, Sung-Ki Lyu
    Journal of the Korean Society of Manufacturing Process Engineers.2025; 24(9): 76.     CrossRef
  • A Study on the High Efficiency and Low Noise Design of Electric Industrial Gearboxes
    Nam Yong Kim, Jin-Uk Baek, Sung Ki Lyu
    Journal of the Korean Society for Precision Engineering.2024; 41(4): 243.     CrossRef
  • Optimal Design of Surface Pressure Strength to Prevent Gear System Pitting Phenomenon
    Gi-Myung Gwak, Jin-Uk Baek, Nam-Yong Kim, Sung-Ki Lyu
    Journal of the Korean Society of Manufacturing Process Engineers.2024; 23(1): 76.     CrossRef
  • Development of a Prediction Model for the Gear Whine Noise of Transmission Using Machine Learning
    Sun-Hyoung Lee, Kwang-Phil Park
    International Journal of Precision Engineering and Manufacturing.2023; 24(10): 1793.     CrossRef
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Transmission Error and Meshing Stiffness Analysis due to Design Parameter in Gear System
Byeongjun Kim, Younghoon Lee, Hyeongjun Kim, Kwangsuk Boo, Heungseob Kim
J. Korean Soc. Precis. Eng. 2022;39(4):263-268.
Published online April 1, 2022
DOI: https://doi.org/10.7736/JKSPE.021.089
The gear has a wide range of transmitted force as various gear ratios are possible using a combination of teeth. It can transmit power reliably and cause relatively little vibration and noise. For this reason, the application of reducers of electric vehicles is being expanded. Vibration noise generated from gears is propagated into the quiet interior of a vehicle, causing various claims. In most gear studies, transmission error has been pointed out as the main cause of vibration noise of gears. Transmission errors have various causes, including design factors, manufacturing factors, and assembly factors. In general, when predicting transmission error through finite element analysis, design factors play an important role without considering manufacturing factors or assembly factors. In this study, relationships among important design variables (gear module, compensation rate, load torque, and transmission error) in gear design were investigated using analytical and experimental methods. In addition, a method of predicting gear meshing stiffness through the predicted gear transmission error was proposed to obtain variation of meshing stiffness due to changes of gear design parameters.

Citations

Citations to this article as recorded by  Crossref logo
  • Development of a Prediction Model for the Gear Whine Noise of Transmission Using Machine Learning
    Sun-Hyoung Lee, Kwang-Phil Park
    International Journal of Precision Engineering and Manufacturing.2023; 24(10): 1793.     CrossRef
  • 7 View
  • 1 Download
  • Crossref