| Literature DB >> 35211252 |
Xiaoqin Yin1, Lili Wang1, Lan Zhang1.
Abstract
According to the kinematics analysis of the human body, a set of exoskeleton mechanical structures is designed to imitate the physiological structure and movement characteristics of the lower limbs of humans. To study the biomechanical characteristics of the exoskeleton in two different phases during walking and to provide a research basis for the design and optimization of the exoskeleton. Doctors and engineers are actively committed to the basic understanding and improvement of the tissue characteristics, structure, and function of the human musculoskeletal system. Firstly, according to the gait analysis of the lower limbs, the exoskeleton mechanical structure is designed by using three-dimensional modeling software. After the solid model is generated, the assembly, meshing, and element attribute assignment are carried out by using finite element software. And the face-to-face contact relationship between each building is established, and the stress distribution of the exoskeleton is simulated and analyzed. The stress distribution of the exoskeleton under different working conditions is significantly different. Since the calculation does not take into account uncertainties such as shocks that may occur during walking, it is necessary to consider and multiply a certain safety factor when designing the optimized exoskeleton.Entities:
Mesh:
Year: 2022 PMID: 35211252 PMCID: PMC8863452 DOI: 10.1155/2022/3083821
Source DB: PubMed Journal: J Healthc Eng ISSN: 2040-2295 Impact factor: 2.682
Scope of human activity.
| Motion characteristics | Maximum range of motion on foot (°) | Maximum range of motion of joint (°) | |
|---|---|---|---|
| Hip joint | Qu | 25.56 | 84 |
| Stretch | 22.15 | 52 | |
| Knee joint | Qu | 53.61 | 32 |
| Stretch | 61.26 | 56 | |
| Ankle joint | Qu | 23.51 | 32 |
| Stretch | 19.52 | 25 |
Calculated results of standing stress on both legs.
| Component | Maximum stress (MPa) | Location of maximum stress generation |
|---|---|---|
| Back | 92.25 | Back bracket |
| Waist | 62.21 | Dorsal junction |
| Hip | 49.51 | Lumbar junction |
| Thigh | 32.12 | Deflection point |
| A lower leg | 15.62 | Deflection point |
| Feet | 38.16 | Ankle joint |
Figure 1The initial state of an iterative learning experiment.
Figure 2The initial state of B iterative learning experiments.
Figure 3Iterative learning simulation initial state.
Figure 4Iterative learning simulation output curve.
Figure 5Iterative learning simulation output convergence process.
Calculated results of vertical stress of tibia.
| Component | Maximum stress (MPa) | Location of maximum stress generation |
|---|---|---|
| Back | 153.15 | Lumbar junction |
| Lumbar (left) | 153.72 | Hip junction |
| Waist (right) | 85.62 | Hip junction |
| Hip (left) | 92.33 | Lumbar junction |
| Hip (right) | 43.51 | Lumbar junction |
| Thigh (left) | 106.92 | Constraint point |
| Thigh (right) | 125.91 | Connection of calf |
| Crus (left) | 26.61 | Deflection point |
| Crus (right) | 136.51 | Thigh junction |
| Foot (left) | 26.21 | Footplate connection |
| Foot (right) | 56.81 | Connection of calf |
Calculated parameter value.
| Parameter | Value |
|---|---|
| Population size |
|
| Iteration steps |
|
Figure 6Vertical ground reaction curve.