Vaš brskalnik ne omogoča JavaScript!
JavaScript je nujen za pravilno delovanje teh spletnih strani. Omogočite JavaScript ali pa uporabite sodobnejši brskalnik.
Nacionalni portal odprte znanosti
Odprta znanost
DiKUL
slv
|
eng
Iskanje
Brskanje
Novo v RUL
Kaj je RUL
V številkah
Pomoč
Prijava
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
)
PDF - Predstavitvena datoteka,
prenos
(1,92 MB)
MD5: C71226BFD8D6D447A338BD922C029D5D
URL - Izvorni URL, za dostop obiščite
https://www.sv-jme.eu/sl/article/optimization-of-running-blade-prosthetics-by-means-of-crow-search-algorithm-assisted-by-artificial-neural-networks/
Galerija slik
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
UDK:
615.477.2:519.6
ISSN pri članku:
0039-2480
COBISS.SI-ID:
67976707
Datum objave v RUL:
23.06.2021
Število ogledov:
923
Število prenosov:
174
Metapodatki:
Citiraj gradivo
Navadno besedilo
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Kopiraj citat
Objavi na:
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
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
Podobna dela
Podobna dela v RUL:
Podobna dela v drugih slovenskih zbirkah:
Nazaj