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Fuzzy multi-objective optimization for movement performance of deep-notch elliptical flexure hinges.
Qian Lu1, Zhi Cui1, Xifu Chen1
1School of Mechanical Engineering, Yancheng Institute of Technology, Yancheng City, Jiangsu Province 224051, China.
The Review of Scientific Instruments
|July 3, 2015
Summary
Deep-notch elliptical flexure hinges offer improved precision for flexible mechanisms. Fuzzy optimization enhanced rotation capacity and restrained undesired motion, boosting performance for high-precision applications.
Area of Science:
- Mechanical Engineering
- Precision Engineering
- Robotics
Background:
- Traditional flexure hinges have limitations in high-precision transmission.
- Deep-notch elliptical flexure hinges present a promising alternative for demanding applications.
Purpose of the Study:
- To develop a rotation stiffness model for deep-notch elliptical flexure hinges.
- To optimize the performance of these hinges using a fuzzy multi-objective approach.
Main Methods:
- Constructed a rotation stiffness model and analyzed the compliance matrix using Newton-Cotes quadrature.
- Developed and applied a fuzzy multi-objective optimization model with distribution.
Main Results:
- Achieved a 30.13% increase in desired angular displacement (α(z)) and a 15.74% decrease in undesired angular displacement (α(y)).
- Reduced linear displacements (Δ(y) and Δ(z)) by 18.15% and 47.69%, respectively.
- Demonstrated enhanced rotation capacity and restrained motion in undesired directions.
Conclusions:
- Fuzzy optimization significantly improves the movement precision and overall performance of deep-notch elliptical flexure hinges.
- Optimized hinges are well-suited for high-precision applications like optical waveguide packaging positioning platforms.
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