Classifying the properties of stainless steel materials for biomedical applications under an intuitionistic fuzzy environment: An FMEA-based TOPSIS-sort methodology

Singer H., Ozcelik T. O.

MATERIALS TODAY COMMUNICATIONS, vol.40, 2024 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 40
  • Publication Date: 2024
  • Doi Number: 10.1016/j.mtcomm.2024.110183
  • Journal Name: MATERIALS TODAY COMMUNICATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC
  • Karadeniz Technical University Affiliated: No

Abstract

The demand for biomedical metal materials has increased in parallel with the rise in the elderly population. Stainless steels are commonly chosen for biomedical applications. Evaluating material properties plays a crucial role in minimizing the risk of undesirable events. Therefore, this study analyzes the properties of stainless steel materials from a risk perspective. The TOPSIS-Sort and FMEA methods are hybridized by considering the intuitionistic fuzzy set to handle the issue. The intuitionistic fuzzy FMEA procedure is employed to construct the risk matrix, while the intuitionistic fuzzy TOPSIS-Sort method is used to categorize the material properties into three distinct levels based on their significance. Furthermore, the adequacy of the evaluation framework is assessed through sensitivity analyses. As a result of the calculations, the degrees of importance corresponding to the "high importance" category are assigned to compatibility (0.1530), reactivity (0.1797), corrosion resistance (0.1840), ion release (0.1919), longevity (0.2154), infection (0.2221), osseointegration (0.2298), fatigue resistance (0.2385), and funding trends (0.2568). The research methodology provides a valuable guide for the evaluation of biomaterials.