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Synthesis of Programmable Main-chain Liquid-crystalline Elastomers Using a Two-stage Thiol-acrylate Reaction

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Time-dependent failure of amorphous polylactides in static loading conditions.

Tom A P Engels¹, Serge H M Söntjens, Theo H Smit

¹Section Materials Technology (MaTe), Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands. l.e.govaert@tue.nl

Journal of Materials Science. Materials in Medicine

|September 4, 2009

Summary

Polylactide implants fail prematurely under load due to their time-dependent material properties, not just instantaneous strength. Understanding polymer flow behavior is crucial for predicting long-term performance in biomedical applications.

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Area of Science:

Biomaterials Science
Polymer Science
Biomedical Engineering

Background:

Polylactides (PLAs) are favored for load-bearing biomedical implants due to their mechanical strength, bioresorbability, and biocompatibility.
However, long-term performance of PLA implants under static loads is often inadequate, leading to premature failure.
Previous in vivo studies indicated implant failures that contradicted short-term mechanical and degradation predictions.

Purpose of the Study:

To investigate the cause of premature failure in polylactide implants under static load.
To demonstrate the role of time-dependent material behavior in implant performance.
To validate a theoretical framework for predicting polymer behavior under stress.

Main Methods:

Investigated the time-dependent mechanical behavior of three amorphous polylactides with varying stereoregularity.
Applied Eyring's theory of absolute rates to model the stress-dependent plastic flow.
Compared experimental kinetics with the proposed modeling framework.

Main Results:

Premature implant failure is attributed to the inherent time-dependent nature of polylactides.
Stress-activated segmental molecular mobility leads to a steady rate of plastic flow in polymers.
Eyring's theory accurately described the stress-dependence of the plastic flow rate for the tested polylactides.
The kinetics of the three materials were comparable and well-represented by the model.

Conclusions:

Instantaneous material strength is insufficient for predicting the long-term performance of polymeric implants.
The time-dependent character of polylactides, specifically plastic flow, is critical for understanding implant longevity.
A modeling framework based on Eyring's theory can effectively capture polymer behavior under load, aiding in better implant design and failure prediction.