The pediatric use of pneumatic ventricular assist devices (VADs) as a bridge to heart transplant still suffers for short-term major complications such as bleeding and thromboembolism. Although numerical techniques are increasingly exploited to support the process of device optimization, an effective virtual benchmark is still lacking. Focusing on the 12 cc Penn State pneumatic VAD, we developed a novel fluid–structure interaction (FSI) model able to capture the device functioning, reproducing the mechanical interplay between the diaphragm, the blood chamber, and the pneumatic actuation. The FSI model included the diaphragm mechanical response from uniaxial tensile tests, realistic VAD pressure operative conditions from a dedicated mock loop system, and the behavior of VAD valves. Our FSI-based benchmark effectively captured the complexity of the diaphragm dynamics. During diastole, the initial slow diaphragm retraction in the air chamber was followed by a more rapid phase; asymmetries were noticed in the diaphragm configuration during its systolic inflation in the blood chamber. The FSI model also captured the major features of the device fluid dynamics. In particular, during diastole, a rotational wall washing pattern is promoted by the penetrating inlet jet with a low-velocity region located in the center of the device. Our numerical analysis of the 12 cc Penn State VAD points out the potential of the proposed FSI approach well resembling previous experimental evidences; if further tested and validated, it could be exploited as a virtual benchmark to deepen VAD-related complications and to support the ongoing optimization of pediatric devices.
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August 2017
Research-Article
Toward the Virtual Benchmarking of Pneumatic Ventricular Assist Devices: Application of a Novel Fluid–Structure Interaction-Based Strategy to the Penn State 12 cc Device
Alessandro Caimi,
Alessandro Caimi
Department of Electronics,
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: alessandro.caimi@polimi.it
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: alessandro.caimi@polimi.it
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Francesco Sturla,
Francesco Sturla
Department of Electronics,
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: francesco.sturla@polimi.it
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: francesco.sturla@polimi.it
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Bryan Good,
Bryan Good
Department of Biomedical Engineering,
The Pennsylvania State University,
State College, PA 16802
e-mail: bcg5069@psu.edu
The Pennsylvania State University,
State College, PA 16802
e-mail: bcg5069@psu.edu
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Marco Vidotto,
Marco Vidotto
Department of Electronics,
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: marco.vidotto@polimi.it
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: marco.vidotto@polimi.it
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Rachele De Ponti,
Rachele De Ponti
Department of Electronics,
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: rachele.deponti@mail.polimi.it
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: rachele.deponti@mail.polimi.it
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Filippo Piatti,
Filippo Piatti
Department of Electronics,
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: filippo.piatti@polimi.it
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: filippo.piatti@polimi.it
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Keefe B. Manning,
Keefe B. Manning
Mem. ASME
Department of Biomedical Engineering,
The Pennsylvania State University,
University Park, PA 16802
e-mail: kbm10@psu.edu
Department of Biomedical Engineering,
The Pennsylvania State University,
University Park, PA 16802
e-mail: kbm10@psu.edu
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Alberto Redaelli
Alberto Redaelli
Mem. ASME
Department of Electronics,
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: alberto.redaelli@polimi.it
Department of Electronics,
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: alberto.redaelli@polimi.it
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Alessandro Caimi
Department of Electronics,
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: alessandro.caimi@polimi.it
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: alessandro.caimi@polimi.it
Francesco Sturla
Department of Electronics,
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: francesco.sturla@polimi.it
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: francesco.sturla@polimi.it
Bryan Good
Department of Biomedical Engineering,
The Pennsylvania State University,
State College, PA 16802
e-mail: bcg5069@psu.edu
The Pennsylvania State University,
State College, PA 16802
e-mail: bcg5069@psu.edu
Marco Vidotto
Department of Electronics,
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: marco.vidotto@polimi.it
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: marco.vidotto@polimi.it
Rachele De Ponti
Department of Electronics,
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: rachele.deponti@mail.polimi.it
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: rachele.deponti@mail.polimi.it
Filippo Piatti
Department of Electronics,
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: filippo.piatti@polimi.it
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: filippo.piatti@polimi.it
Keefe B. Manning
Mem. ASME
Department of Biomedical Engineering,
The Pennsylvania State University,
University Park, PA 16802
e-mail: kbm10@psu.edu
Department of Biomedical Engineering,
The Pennsylvania State University,
University Park, PA 16802
e-mail: kbm10@psu.edu
Alberto Redaelli
Mem. ASME
Department of Electronics,
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: alberto.redaelli@polimi.it
Department of Electronics,
Information and Bioengineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: alberto.redaelli@polimi.it
1Corresponding author.
Manuscript received January 27, 2017; final manuscript received May 18, 2017; published online June 16, 2017. Assoc. Editor: Ching-Long Lin.
J Biomech Eng. Aug 2017, 139(8): 081008 (10 pages)
Published Online: June 16, 2017
Article history
Received:
January 27, 2017
Revised:
May 18, 2017
Citation
Caimi, A., Sturla, F., Good, B., Vidotto, M., De Ponti, R., Piatti, F., Manning, K. B., and Redaelli, A. (June 16, 2017). "Toward the Virtual Benchmarking of Pneumatic Ventricular Assist Devices: Application of a Novel Fluid–Structure Interaction-Based Strategy to the Penn State 12 cc Device." ASME. J Biomech Eng. August 2017; 139(8): 081008. https://doi.org/10.1115/1.4036936
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