Optimization of Bone Implant Selection with Price Analysis

What is it about?

This paper introduces a mathematical method based on fuzzy logic which is used in designing of metallic bone implant. Five sets of criteria are defined as follow: total corrosion resistance, biocompatibility, adherence, technical specs and price. Each of these criterions is divided into its subsets. Then membership functions of sets are defined. In continuation the satisfactory degree is calculated. Finally, biomaterial favorability is determined and the effect of price on sensitivity analysis is analyzed. Twelve common metallic biomaterials are used in the database. These methods show the satisfactory value for metallic bone implant as a continuous value ranging from zero to one. Therefore, biomaterial designer can compare a new material to the database systematically and he/she can determine restricted parameters to increase the performance of metallic bone implant.

Featured Image

Why is it important?

Nowadays materials are developing faster than at any other time historically; the challenges and opportunities are therefore greater than ever before. A systematic and numerical method for material selection will help the material designers to choose and compare the new material with the common materials database