Numerical Modeling of Healthcare Materials

TL;DR

This paper discusses a multi-scale numerical modeling approach to design and analyze composite healthcare materials, particularly implants, to optimize their structure and interface properties for better biointegration.

Contribution

It introduces a multi-scale numerical modeling framework for composite biomaterials, exemplified by a grafting method for hybrid implant fabrication.

Findings

Numerical modeling aids in understanding composite implant interfaces.

Multi-scale approach improves implant design control.

Protocol example demonstrates practical application.

Abstract

Healthcare materials, whether they are natural or synthetic, are complex structures made up of simpler materials. Because of their intricate structure, composite materials are ideal for prosthetics because it is possible to tune their structure to get mechanical properties that are compatible with bone, thus encouraging biointegration. To be effective, implants must be properly suited to the host, which necessitates complete control over both the design of the implants as well as their evolution over time as they are used. In the case of composite implants, this means that, while material control at the macroscopic scale is required during implant shaping, the quality of the interface, which is determined by phenomena acting at the nanoscale, is also required. In this work, we show that such an issue can be resolved by resorting to a multi-scale approach and that, in this context, numerical modeling is a useful tool. Then we describe the principle of the process for investigating composite biomaterials using numerical modeling. Then, we give a concrete example of the protocol by talking about the first step of the ''grafting from'' method that Professors H. Palkowski and A. Carrado's teams came up with to make implants from hybrid biomaterials.