Development and Application of Multi‐Scale Numerical Tool to Modeling Pneumatic Ventricular Assist Devices with Increased Athrombogenicity1. Issue 3 (24th June 2014)

• Record Type: Journal Article
• Authors: Kopernik, Magdalena
• Other Names: Willenborg Edgar guestEditor.
• Is Part Of: Advanced engineering materials. Volume 17:Issue 3(2015:Mar.)
• Page Start: 278
• Page End: 298
• Publication Date: 2014-06-24
• Subjects: Materials -- Periodicals; 620.11
• DOI: 10.1002/adem.201400157
• Languages: English
• ISSNs: 1438-1656

Abstract

Abstract : The multi‐scale numerical model of blood chamber of ventricular assist device (VAD) with deposited a biocompatible titanium nitride (TiN) nano‐coating is introduced. The model is developed to optimize shape parameters of the blood chamber and to determine fracture parameters of the nano‐coating. The development of finite element (FE) macro‐model is combined with a digital image correlation data to validate a computed strain state. Contrary, on a micro‐scale calibration and validation of a representative volume element (RVE) model of the wall of VAD composed of the TiN coating and substrate‐polymer is realized by comparison with results of an experimental in situ SEM's micro‐tensile test. The multi‐scale model of VAD is enriched with materials research. Thus, tensile tests of VADs' polymers are performed to obtain the properties of designed materials of the VADs. On the other hand, on a micro‐scale, the properties of TiN are identified based on a nanoindentation test and an inverse analysis for its interpretation. The profilometric studies and analytical model are presented to calculate a residual stress in the TiN. The final result of the paper is the multi‐scale numerical tool to modeling pneumatic VADs with increased biocompatibility produced in Poland. Abstract : The two‐scale model of polymeric cular assist device with deposited biocompatible TiN nano‐coating is introduced (figure). The FE macro‐model and the RVE micro‐model are developed to optimize and determine the crucial parameters of the device in both scales. The digital image correlation, in situ SEM's micro‐tensile test, AFM's images, nanoindentation test, and tensile tests supply data for the multi‐scale numerical tool.