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Design and optimization of complex mechanism flip shaping subsystem based on genetic algorithm and rigid-flexible
Shang Xin1, Yongxing Li1, Xiaoxuan Chen1
1School of Mechanical Engineering Dongguan University of Technology, Dongguan, Guangdong, China.
Plos One
|February 2, 2023
Summary
This study optimizes high-speed vertical machine flipping mechanisms by analyzing cam connecting rod dynamics. Reducing vibration through optimal design enhances shaping accuracy and mechanism performance.
Area of Science:
- Mechanical Engineering
- Dynamics and Control Systems
Background:
- High-speed vertical machine flipping mechanisms face accuracy issues due to significant vibration.
- The cam connecting rod system is critical to the mechanism's overall performance and stability.
Purpose of the Study:
- To address the problem of inaccurate actions in flipping mechanisms caused by large vibrations.
- To optimize the cam connecting rod system for improved dynamic performance and accuracy.
Main Methods:
- Finite element method (FEM) for dynamic modeling of the connecting rod subsystem.
- Centralized parameter method for the cam roller subsystem dynamic model.
- MATLAB Genetic Algorithm toolbox and Newmark's method for solving dynamic equations.
Main Results:
- Mechanism speed and cam profile are key factors influencing performance.
- Pendulum force (swing torque) is identified as the primary cause of frame vibration.
- Optimal design parameters were determined for the cam linkage system.
Conclusions:
- Optimizing the cam linkage system significantly improves the flipped shaping mechanism's performance.
- Reducing swing torque is crucial for mitigating vibration and enhancing accuracy.
- The study provides a validated method for optimizing dynamic mechanical systems.
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