# Simulating Wear On Total Knee Replacements

## TL;DR

This paper presents a novel finite element simulation method for predicting wear in total knee replacements during gait cycles, demonstrating high accuracy and efficiency by closely matching experimental data and wear patterns.

## Contribution

The paper introduces a new contact algorithm for wear simulation that is more stable and efficient, validated against standardized experimental data for TKRs.

## Key findings

- Accurately predicts total mass loss after five million gait cycles.
- Achieves close match between simulated and experimental wear patterns.
- Provides a benchmark for future wear simulation methods.

## Abstract

Wear on total knee replacements (TKRs) is an important criterion for their performance characteristics. Numerical simulations of such wear has seen increasing attention over the last years. They have the potential to be much faster and less expensive than the in vitro tests in use today. While it is unlikely that in silico tests will replace actual physical tests in the foreseeable future, a judicious combination of both approaches can help making both implant design and pre-clinical testing quicker and more cost-effective. The challenge today for the design of simulation methods is to obtain results that convey quantitative information, and to do so quickly and reliably. This involves the choice of mathematical models as well as the numerical tools used to solve them. The correctness of the choice can only be validated by comparing with experimental results. In this paper we present finite element simulations of the wear in TKRs during the gait cycle standardized in the ISO 14243-1 document, used for compliance testing in several countries. As the ISO 14243-1 standard is precisely defined and publicly available, it can serve as an excellent benchmark for comparison of wear simulation methods. Our novel contact algorithm works without Lagrange multipliers and penalty methods, achieving unparalleled stability and efficiency. We compare our simulation results with the experimental data from physical tests using two different actual TKRs, each test being performed three times. We can closely predict the total mass loss due to wear after five million gait cycles. We also observe a good match between the wear patterns seen in experiments and our simulation results.