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Vibration optimization of spur gear based on GSA-SA algorithm
Linyue Qiu1,2, Xiangying Hou1,2, Shushen Gao1,2
1College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China.
Plos One
|November 1, 2023
Summary
This study optimized spur gear design parameters using a hybrid algorithm, significantly reducing vibration. Simultaneous optimization of addendum and profile modification yielded superior results for gear transmission systems.
Area of Science:
- Mechanical Engineering
- Vibration Analysis
- Tribology
Background:
- Spur gears are critical components in many mechanical systems.
- Gear vibration impacts performance and longevity.
- Optimizing design parameters is essential for reducing noise and wear.
Purpose of the Study:
- To establish an optimal design for spur gears to minimize vibration.
- To evaluate the effectiveness of a hybrid optimization algorithm for gear design.
- To compare the impact of optimizing single vs. multiple design parameters.
Main Methods:
- Developed a six-degree-of-freedom vibration analysis model for spur gear pairs.
- Employed a gravitational search-simulated annealing (GSA-SA) hybrid algorithm for optimization.
- Utilized a combined G1 method and variation coefficient method for the objective function.
Main Results:
- The optimized design parameters effectively reduced vibration levels in spur gear pairs.
- Simultaneous optimization of addendum modification coefficient and profile modification parameters proved more effective than individual optimization.
- The GSA-SA algorithm demonstrated significant effectiveness in vibration reduction.
Conclusions:
- The proposed optimization method successfully reduces vibration in spur gear transmissions.
- Joint optimization of addendum and profile modification offers superior vibration reduction.
- This approach is applicable to vibration optimization in automotive and shipbuilding industries.
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