Nanuel Javier Rosel Solis (Author), José Omar Dávalos Ramírez (Author), Javier Molina Salazar (Author), Juan Antonio Ruiz Ochoa (Author), Antonio Gómez Roa (Author)

Abstract

A crow search algorithm (CSA) was applied to perform the optimization of a running blade prosthetics (RBP) made of composite materials like carbon fibre layers and cores of acrylonitrile butadiene styrene (ABS). Optimization aims to increase the RBP displacement limited by the Tsai-Wu failure criterion. Both displacement and the Tsai-Wu criterion are predicted using artificial neural networks (ANN) trained with a database constructed from finite element method (FEM) simulations. Three different cases are optimized varying the carbon fibre layers orientations: -45°/45°, 0°/90°, and a case with the two-fibre layer orientations intercalated. Five geometric parameters and a number of carbon fibre layers are selected as design parameters. A sensitivity analysis is performed using the Garzon equation. The best balance between displacement and failure criterion was found with fibre layers oriented at 0°/90°. The optimal candidate with -45°/45° orientation presents higher displacement; however, the Tsai-Wu criterion was less than 0.5 and not suitable for RBP design. The case with intercalated fibres presented a minimal displacement being the stiffer RBP design. The damage concentrates mostly in the zone that contacts the ground. The sensitivity study found that the number of layers and width were the most important design parameters.

Keywords

optimization;crow search algorithm;artificial neural networks;running blade prosthetics;Tsai-Wu criterion;finite element method;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FS - Faculty of Mechanical Engineering
UDC: 615.477.2:519.6
COBISS: 67976707 Link will open in a new window
ISSN: 0039-2480
Views: 261
Downloads: 62
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Other data

Secondary language: Slovenian
Secondary title: Optimizacija listnate tekaške proteze z vraninim iskalnim algoritmom in podporo umetne nevronske mreže
Secondary keywords: optimizacija;vranin iskalni algoritem;umetne nevronske mreže;tekaške listnate proteze;kriterij Tsai-Wu;metoda končnih elementov;
Type (COBISS): Article
Pages: str. 88-100
Volume: ǂVol. ǂ67
Issue: ǂno. ǂ3
Chronology: Mar. 2021
ID: 13059389