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Optimization of running blade prosthetics utilizing crow search algorithm assisted by artificial neural networks
ID Rosel Solis, Nanuel Javier (Author), ID Dávalos Ramírez, José Omar (Author), ID Molina Salazar, Javier (Author), ID Ruiz Ochoa, Juan Antonio (Author), ID Gómez Roa, Antonio (Author)

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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.

Language:English
Keywords:optimization, crow search algorithm, artificial neural networks, running blade prosthetics, Tsai-Wu criterion, finite element method
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Publication status:Published
Publication version:Version of Record
Year:2021
Number of pages:Str. 88-100
Numbering:Vol. 67, no. 3
PID:20.500.12556/RUL-127810 This link opens in a new window
UDC:615.477.2:519.6
ISSN on article:0039-2480
COBISS.SI-ID:67976707 This link opens in a new window
Publication date in RUL:23.06.2021
Views:626
Downloads:140
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Record is a part of a journal

Title:Strojniški vestnik
Shortened title:Stroj. vestn.
Publisher:Zveza strojnih inženirjev in tehnikov Slovenije [etc.], = Association of Mechanical Engineers and Technicians of Slovenia [etc.
ISSN:0039-2480
COBISS.SI-ID:762116 This link opens in a new window

Secondary language

Language:Slovenian
Title:Optimizacija listnate tekaške proteze z vraninim iskalnim algoritmom in podporo umetne nevronske mreže
Keywords:optimizacija, vranin iskalni algoritem, umetne nevronske mreže, tekaške listnate proteze, kriterij Tsai-Wu, metoda končnih elementov

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