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Numerical modeling and development of a dual lung simulator using partitioned fluid-structure interaction approach for ventilator testing.

Rahul KumarSulekh TokasVijay HaddaDibakar RakshitJayati Sarkar
Published in: International journal for numerical methods in biomedical engineering (2022)
New designs of mechanical ventilators require extensive testing before utilizing the ventilator on a patient. Test lungs are commonly used to understand the behavior of new designs of ventilators and the lung mechanics. The current study aims to develop a numerical model of dual test lungs utilizing the partitioned fluid-structure interaction (FSI) approach and test it against the available experimental data of volume-controlled ventilation. Two breathing rates of 12 and 18 bpm were studied at two different tidal volumes of 500 and 600 ml for spontaneous breathing. It is found that with an increase in the compliance (tidal volume/pressure rise) of the lung, the peak pressure rise inside the test lung decreases irrespective of the breathing rate. The maximum average pressure of 44.73, 27.45, and 14 cm H 2 O is observed for static lung compliances of 10, 21 , and 39 ml/cm H 2 O, respectively at a tidal volume of 600 ml. Similarly, the maximum von-misses stress was higher (498 kPa) for the lung with lower compliance (10 ml/cm H 2 O) as compared to the lung with higher compliance (39 ml/cm H 2 O) at the end of inspiration. This study forms a basis for using computational methods to model simple lung simulators that can effectively investigate the lung mechanics for both spontaneous and ventilated breathing. Thus, it can be utilized as a reference to test novel designs of mechanical ventilators.
Keyphrases
  • acute respiratory distress syndrome
  • intensive care unit
  • machine learning
  • mechanical ventilation
  • carbon dioxide
  • data analysis
  • solid state