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

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Izvleček
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.

Jezik:Angleški jezik
Ključne besede:optimization, crow search algorithm, artificial neural networks, running blade prosthetics, Tsai-Wu criterion, finite element method
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Leto izida:2021
Št. strani:Str. 88-100
Številčenje:Vol. 67, no. 3
PID:20.500.12556/RUL-127810 Povezava se odpre v novem oknu
UDK:615.477.2:519.6
ISSN pri članku:0039-2480
COBISS.SI-ID:67976707 Povezava se odpre v novem oknu
Datum objave v RUL:23.06.2021
Število ogledov:602
Število prenosov:140
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
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Gradivo je del revije

Naslov:Strojniški vestnik
Skrajšan naslov:Stroj. vestn.
Založnik:Zveza strojnih inženirjev in tehnikov Slovenije [etc.], = Association of Mechanical Engineers and Technicians of Slovenia [etc.
ISSN:0039-2480
COBISS.SI-ID:762116 Povezava se odpre v novem oknu

Sekundarni jezik

Jezik:Slovenski jezik
Naslov:Optimizacija listnate tekaške proteze z vraninim iskalnim algoritmom in podporo umetne nevronske mreže
Ključne besede:optimizacija, vranin iskalni algoritem, umetne nevronske mreže, tekaške listnate proteze, kriterij Tsai-Wu, metoda končnih elementov

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