Povzetek

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.

Ključne besede

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

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FS - Fakulteta za strojništvo
UDK: 615.477.2:519.6
COBISS: 67976707 Povezava se bo odprla v novem oknu
ISSN: 0039-2480
Št. ogledov: 261
Št. prenosov: 62
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarni naslov: Optimizacija listnate tekaške proteze z vraninim iskalnim algoritmom in podporo umetne nevronske mreže
Sekundarne ključne besede: optimizacija;vranin iskalni algoritem;umetne nevronske mreže;tekaške listnate proteze;kriterij Tsai-Wu;metoda končnih elementov;
Vrsta dela (COBISS): Članek v reviji
Strani: str. 88-100
Letnik: ǂVol. ǂ67
Zvezek: ǂno. ǂ3
Čas izdaje: Mar. 2021
ID: 13059389