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Related Experiment Video

Updated: Nov 30, 2025

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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An experimentally validated dynamic model for spring-driven autoinjectors.

Xiaoxu Zhong1, Tianqi Guo1, Pavlos Vlachos1

  • 1School of Mechanical Engineering, Purdue University, West Lafayette, IN 47906, United States.

International Journal of Pharmaceutics
|November 15, 2020
PubMed
Summary

A new dynamic model accurately predicts spring-driven autoinjector performance. This validated model aids device design by simulating component kinematics and air gap dynamics, proving computationally efficient.

Keywords:
AutoinjectorDrug deliveryDynamic modelKinematics of the componentsStart and finish of delivery

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Area of Science:

  • Biomedical Engineering
  • Mechanical Engineering
  • Fluid Dynamics

Background:

  • Spring-driven autoinjectors are critical for drug delivery.
  • Accurate modeling is essential for optimizing device design and performance.
  • Understanding internal dynamics, like plunger friction and heat transfer, is key.

Purpose of the Study:

  • To develop a predictive dynamic model for spring-driven autoinjectors.
  • To determine unknown physical parameters through experimental data fitting.
  • To validate the model's predictive capabilities against experimental measurements.

Main Methods:

  • Developed a dynamic model incorporating heat convection and friction.
  • Fitted model parameters using experimentally measured plunger and syringe displacements.
  • Compared predicted component kinematics (displacement, velocity) with experimental data.
  • Analyzed the impact of initial air gap height and material properties on internal pressure and temperature.

Main Results:

  • Predicted component kinematics showed excellent agreement with experiments (l²-norm error < 10%).
  • Predicted needle displacement at drug delivery initiation had a 20% l²-norm error.
  • Maximum air gap pressure and temperature were inversely related to initial air gap height.
  • Increased plunger elasticity/viscosity and mechanical stop stiffness raised internal pressure and temperature.

Conclusions:

  • The experimentally validated dynamic model accurately predicts autoinjector kinematics.
  • The model provides insights into air gap pressure and temperature dynamics.
  • The computationally efficient model is suitable for device design optimization.