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Published on: July 22, 2021
A biomimicking design for mechanical knee joints
Felix Russell1, Yipeng Zhu, William Hey
1Mechanical Engineering Department, Imperial College London, London, United Kingdom. Author to whom any correspondence should be addressed.
This study introduces a novel bioinspired knee joint for prosthetics, reducing actuator force by 12% for stair ascent. It mimics human knee mechanics, enabling accurate joint angle sensing via artificial ligaments.
Area of Science:
- Biomechanical engineering
- Robotics
- Prosthetics design
Background:
- Existing prosthetic knee joints often require large actuators and lack the natural compliance and sensory feedback of human knees.
- Constant moment arm designs in prosthetic joints present limitations in efficiency and adaptability during dynamic movements like stair ascent.
Purpose of the Study:
- To develop a bioinspired bicondylar knee joint that replicates human knee mechanics for improved prosthetic performance.
- To reduce actuator size and force requirements through a variable moment arm mechanism.
- To integrate artificial ligaments with stretch sensors for accurate joint angle estimation.
Main Methods:
- Designing a novel bicondylar knee mechanism mimicking elastic, rolling, and sliding elements of the human knee.
- Implementing a variable transmission system where the moment arm changes with joint angle.
- Integrating mechanical 'ligaments' with embedded stretch sensors to replicate neurosensory and compliant functions.
Main Results:
- The bioinspired joint achieved a 12% reduction in peak actuator force for stair ascent compared to constant moment arm designs.
- Demonstrated experimental validation of using ligament stretch to accurately estimate bicondylar joint angle.
- The new design addresses critical limitations in weight and power for robotic limbs.
Conclusions:
- The bioinspired bicondylar knee joint offers a more efficient and adaptable prosthetic solution by replicating human knee biomechanics.
- The variable moment arm and integrated sensing system overcome key challenges in prosthetic joint design and control.
- This research advances the development of lighter, more powerful, and sensorially capable robotic limbs.
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