Numerical simulation-based loaded inflation height modeling of nursing bed airbag

Area of Science:

• Mechanical Engineering
• Biomedical Engineering

Background:

• Industrial airbag simulation models are validated, but nursing bed airbag inflation dynamics are under-researched.
• Numerical methods are crucial for understanding complex behaviors like inflation height in specialized applications.

Purpose of the Study:

• To develop and validate a numerical simulation model for nursing bed airbags.
• To investigate the relationship between internal pressure, external loads, and airbag inflation height.
• To establish a basis for intelligent control of nursing bed airbags.

Main Methods:

• Established an airbag dynamic model using the control volume approach and Poisson's law for air behavior.
• Determined material properties via quasi-static uniaxial tensile testing for the constitutive model.
• Applied simulation results as boundary conditions for numerical dynamics modeling.

Main Results:

• The numerical model accurately describes nursing bed airbag inflation behaviors, verified by experiments.
• A mathematical equation was derived, correlating internal pressure with airbag inflating height.
• The model is suitable for the design and optimization of nursing bed airbags.

Conclusions:

• The developed numerical model provides accurate predictions for nursing bed airbag inflation.
• The derived mathematical equation enables differentiated and intelligent control of airbag nursing beds.
• This research facilitates improved design and functionality of nursing bed airbags.