Analyzing the mechano-bactericidal effect of nano-patterned surfaces by finite element method and verification with artificial neural networks
Ecren Uzun Yaylaci,Murat Yaylaci,Mehmet Emin Özdemir,Merve Terzi,Şevval Öztürk
Abstract
The study investigated the effect of geometric structures of nano-patterned surfaces, such as peak sharpness, height, width, aspect ratio, and spacing, on mechano-bactericidal properties. Here, in silico models were developed to explain surface interactions 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' maximum 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 addition, the results showed that FEM and ANN methods were in good agreement with each other. This study proved that the geometrical structures of nano-patterned surfaces have an important role in the mechano-bactericidal effect.
Key Words
artificial neural network; finite element method; mechano-bactericidal; nano-patterned surface
Address
Ecren Uzun Yaylaci — Faculty of Engineering and Architecture, Recep Tayyip Erdogan University, 53100, Rize, Turkey
Murat Yaylaci — Department of Civil Engineering, Recep Tayyip Erdogan University, 53100, Rize, Turkey/ Biomedical Engineering MSc Program, Recep Tayyip Erdogan University, 53100, Rize, Turkey
Mehmet Emin Özdemir — Department of Civil Engineering, Cankiri Karatekin University, 18100, Çankiri, Turkey
Merve Terzi — Department of Civil Engineering, Istanbul Rumeli University, 34570, Istanbul, Turkey
Şevval Öztürk — Department of Civil Engineering, Recep Tayyip Erdogan University, 53100, Rize, Turkey
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