Methodology of Optimization of the Design of an Orthopedic Implant

• Autorzy: Muzalewska, M. , Moczulski, W.
• Języki publikacji: EN

Abstrakty

EN

The scientific goal of the project is multicriterial optimization of the design of an orthopedic implant responsible for supporting the reconstruction of the anterior cruciate ligament. The implant should not only precisely anchor the tendon in the tunnel but, above all, - thanks to appropriately selected geometric shape and other design features - accelerate the ingrowth of bone tissue into the grafted tendon. The condition for the correct ingrowth of the bone tissue is to enable optimal perfusion of blood and other body fluids into the ligament prosthesis (grafted tendon). Therefore, the geometrical shape of the implant should allow accumulating active biological factors in the vicinity of the grafted tendon, thus accelerating the healing process. The research hypothesis is that there is a specific number of holes of a certain shape and a specific arrangement of these holes, which ensure optimum blood perfusion by maintaining adequate mechanical properties. Finding the optimum is possible by methods such as Artificial Immune Systems from heuristic algorithms class.

Słowa kluczowe

EN

orthopedic implant; multicriterial optimization; artificial immune system; geometric form of implants; Pareto optimality; heuristic algorithms

• Czasopismo: Machine Dynamics Research
• Rocznik: 2015
• Tom: Vol. 39, No. 2
• Strony: 133-141
• Opis fizyczny: Bibliogr. 9 poz., il.

Twórcy

autor

Muzalewska, M.

• Institute of Fundamentals of Machinery Design Faculty of Mechanical Engineering, Silesian University of Technology,

autor

Moczulski, W.

• Institute of Fundamentals of Machinery Design Faculty of Mechanical Engineering, Silesian University of Technology,

Bibliografia

• 1. Al-Enezi J.R., Abbod M.F., Alsharhan S., 2010, Artificial immune systems – models, algorithms and applications. IJRRAS 3 (2), 118-131. May 2010.
• 2. ANSYS CFX-Pre User’s Guide., 2009, ANSYS, Inc. Release 12.1. November 2009.
• 3. ANSYS Mechanical APDL Command Reference., 2013, ANSYS, Inc. Release 15.0. November 2013.
• 4. ANSYS Mechanical APDL Modeling and Meshing Guide. 2010, ANSYS, Inc. Release 13.0. November 2010.
• 5. Ficek K., Patent nr PL 217967 B1 pt. „Implant medyczny do wzmacniania wgajania przeszczepów w rekonstrukcji więzadeł w tunelach kostnych”
• 6. Ficek K., Gogolewski S., 2010, Bioresorbable Polylactide (PLA) Beads - Autogenous Blood Composite Implants as a Means to Enhance Graft Healing Following Ligament Reconstruction. Trans. ORS Annual Meeting, Long Beach, CA (Paper No. 0271), 2010.
• 7. Matlab central athworks.com/matlabcentral/fileexchange/?term=tag%3A%22immune+algorithm%22
• 8. Web site: http://www.ipipan.waw.pl/~stw/ais/ks/
• 9. Wierzchoń Sławomir T., 2001, Sztuczne systemy immunologiczne. Teoria i zastosowania (in Polish). EXIT, Warszawa 2001.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.