Analyzing the mechano mechano-bactericidal effect of nano nano-patterned surfaces by finite element method and verification with artificial neural networks

Yaylacı E. U., YAYLACI M., Özdemir M. E., Terzi M., ÖZTÜRK Ş.

Advances in Nano Research, vol.15, no.2, pp.165-174, 2023 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 15 Issue: 2
  • Publication Date: 2023
  • Doi Number: 10.12989/anr.2023.15.2.165
  • Journal Name: Advances in Nano Research
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Communication Abstracts, Compendex, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.165-174
  • Keywords: artificial neural networknetwork, finite element method, mechanomechano-bactericidal, nano nano-patterned surface
  • Recep Tayyip Erdoğan University Affiliated: Yes

Abstract

The study investigated the effect of geometric structures of nano nano-patterned surfaces, such as peak sharpness, height, width, aspect ratio, and spacing, on mechano mechano-bactericidal properties. Here, in silico models were developed to explain surface interaction s with Escherichia coli. Numerical solutions were performed based on the finite element method and verified by the artificial neural network method. An E. coli cell adhered to the nano surface formed elastic and creep deformation models, and the cells cells’ max imum deformation, maximum stress, and maximum strain were calculated. The results determined that the increase in peak sharpness, aspect ratio, and spacing values increased the maximum deformation, maximum stress, and maximum strain on E. coli cell. In add ition, the results showed that FEM and ANN methods were in good agreement with each other. This study proved that the geometrical structures of nano nano-patterned surfaces have an important role in the mechano mechano-bactericidal effect.