MIDPOINT · Multiscale design of porous implants with a biomimetic functionally graded cellular material
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2021-11-02 → 2023-11-01
- EU contribution
- €184,708
- Participants
- 1
- Scheme
- MSCA-IF
Lines connect the coordinator with its partners.
Results in brief
Multiscale design of porous implants with a biomimetic functionally graded cellular material
Introduction. Bone implants are now widely used in orthopaedic and dental surgery to restore joint functionality or to replace missing teeth, despite problems regarding their long-term stability. Implant failure is often due to bone resorption resulting from stress shielding, which comes from the mismatch of the mechanical properties between the implant and the surrounding bone. To improve implant stability, a design methodology integrating structural stiffness with fluid flow is needed to allow the implant to have both adequate rigidity to resist physical loading and sufficient permeability to transfer not only cells and nutrients but also to allow cells to grow and proliferate. Objectives. The objective of MidPoint was to establish an innovative multiscale optimization method for the design of functionally graded porous implants and scaffolds according to i) morphological, ii) structural, iii) permeability, and iv) fatigue requirements. To this end, three specific objectives were pursued: 1. Produce new artificial lattices using the Voronoi tessellation approach, which will eventually be fabricated using AM methods. 2. Conceive a state-of-the-art method making use of damage accumulation models (Miner’s rule) combined with machine learning (artificial neural networks) to predict the fatigue life of the artificial lattices. 3. Adapt the multiscale optimization method previously developed by me to minimize bone resorption and maximize the fatigue life of dental and orthopaedic implants. Conclusions. The project was completed by the end of the fellowship and the collaboration with the host institution will continue. The conclusions obtained so far are summarized here: 1. Voronoi-based lattices were developed and manufactured using additive manufacturing techniques. The design space was analysed, and it was concluded that this cellular structure can be used for implants in a range that is optimum for bone ingrowth. 2. A damage accumulation method was developed using fast Fourier transform models. This method allows the computation of a database with the fatigue life of the Voronoi-based lattices throughout the whole design space, which will be used to accelerate the implant optimization process.
Data: CORDIS, © European Union
Project objective
Endosseous implants are now widely used in clinical practice to restore joint functionality or to replace missing teeth. Despite theirincreasing success, implant long-term stability remains a concern and it is difficult to predict the surgical outcome so far. Amajor cause of failure comes from bone resorption secondary to stress shielding, which arises from the mismatch of themechanical properties between the implant and the surrounding bone tissue. To overcome this problem, MIDPOINT proposes todesign porous implants that will have a biomimetic cancellous bone microstructure with a nonhomogeneous distribution of itsmaterial properties. The optimal design will produce implants with mechanical and microstructural properties similar to that ofthe bone, which will result in an improvement of the effectiveness of osseointegration phenomena.A work methodology that combines multiscale computational modelling and experimental work for the formulation,construction, verification and validation of computational models is proposed. This methodology will comprise i) the design ofnew biomimetic microstructures that replicate the geometrical properties of the natural trabecular bone using a generativedesign approach, the Voronoi tessellation approach; ii) the development of an iterative computational method to predict thefatigue life of the artificial microstructures directly at the macroscale employing damage accumulation models coupled withartificial neural networks; and iii) the construction of multiscale models of bone-implant systems to optimize the implantmicrostructure locally in order to achieve a desirable mechanical response and functional environment for bone ingrowthand, therefore, minimize bone resorption. These techniques will be employed to design implants and scaffolds that, togetherwith medical imaging techniques, can be personalized to the needs of each patient and directly printed at the medicalinstitution using additive manufacturing techniques.
Original text from CORDIS.
Participants
- CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS · ParisCoordinatorFrance
Links
Data: CORDIS, © European Union