Optimization of Running Blade Prosthetics Utilizing Crow Search Algorithm Assisted by Artificial Neural Networks

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ROSEL SOLÍS, Manuel Javier;DÁVALOS RAMÍREZ, José Omar;MOLINA SALAZAR, Javier ;RUIZ OCHOA, Juan Antonio;GÓMEZ ROA, Antonio .
Optimization of Running Blade Prosthetics Utilizing Crow Search Algorithm Assisted by Artificial Neural Networks. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 67, n.3, p. 88-100, april 2021. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/optimization-of-running-blade-prosthetics-by-means-of-crow-search-algorithm-assisted-by-artificial-neural-networks/>. Date accessed: 22 sep. 2021. 
doi:http://dx.doi.org/10.5545/sv-jme.2020.6990.
Rosel Solís, M., Dávalos Ramírez, J., Molina Salazar, J., Ruiz Ochoa, J., & Gómez Roa, A.
(2021).
Optimization of Running Blade Prosthetics Utilizing Crow Search Algorithm Assisted by Artificial Neural Networks.
Strojniški vestnik - Journal of Mechanical Engineering, 67(3), 88-100.
doi:http://dx.doi.org/10.5545/sv-jme.2020.6990
@article{sv-jmesv-jme.2020.6990,
	author = {Manuel Javier Rosel Solís and José Omar Dávalos Ramírez and Javier  Molina Salazar and Juan Antonio Ruiz Ochoa and Antonio  Gómez Roa},
	title = {Optimization of Running Blade Prosthetics Utilizing Crow Search Algorithm Assisted by Artificial Neural Networks},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {67},
	number = {3},
	year = {2021},
	keywords = {optimization, crow search algorithm, artificial neural networks, running blade prosthetics, Tsai-Wu criterion, finite element method},
	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.},
	issn = {0039-2480},	pages = {88-100},	doi = {10.5545/sv-jme.2020.6990},
	url = {https://www.sv-jme.eu/article/optimization-of-running-blade-prosthetics-by-means-of-crow-search-algorithm-assisted-by-artificial-neural-networks/}
}
Rosel Solís, M.,Dávalos Ramírez, J.,Molina Salazar, J.,Ruiz Ochoa, J.,Gómez Roa, A.
2021 April 67. Optimization of Running Blade Prosthetics Utilizing Crow Search Algorithm Assisted by Artificial Neural Networks. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 67:3
%A Rosel Solís, Manuel Javier
%A Dávalos Ramírez, José Omar
%A Molina Salazar, Javier 
%A Ruiz Ochoa, Juan Antonio
%A Gómez Roa, Antonio 
%D 2021
%T Optimization of Running Blade Prosthetics Utilizing Crow Search Algorithm Assisted by Artificial Neural Networks
%B 2021
%9 optimization, crow search algorithm, artificial neural networks, running blade prosthetics, Tsai-Wu criterion, finite element method
%! Optimization of Running Blade Prosthetics Utilizing Crow Search Algorithm Assisted by Artificial Neural Networks
%K optimization, crow search algorithm, artificial neural networks, running blade prosthetics, Tsai-Wu criterion, finite element method
%X 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.
%U https://www.sv-jme.eu/article/optimization-of-running-blade-prosthetics-by-means-of-crow-search-algorithm-assisted-by-artificial-neural-networks/
%0 Journal Article
%R 10.5545/sv-jme.2020.6990
%& 88
%P 13
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 67
%N 3
%@ 0039-2480
%8 2021-04-14
%7 2021-04-14
Rosel Solís, Manuel, José Omar Dávalos Ramírez, Javier  Molina Salazar, Juan Antonio Ruiz Ochoa, & Antonio  Gómez Roa.
"Optimization of Running Blade Prosthetics Utilizing Crow Search Algorithm Assisted by Artificial Neural Networks." Strojniški vestnik - Journal of Mechanical Engineering [Online], 67.3 (2021): 88-100. Web.  22 Sep. 2021
TY  - JOUR
AU  - Rosel Solís, Manuel Javier
AU  - Dávalos Ramírez, José Omar
AU  - Molina Salazar, Javier 
AU  - Ruiz Ochoa, Juan Antonio
AU  - Gómez Roa, Antonio 
PY  - 2021
TI  - Optimization of Running Blade Prosthetics Utilizing Crow Search Algorithm Assisted by Artificial Neural Networks
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2020.6990
KW  - optimization, crow search algorithm, artificial neural networks, running blade prosthetics, Tsai-Wu criterion, finite element method
N2  - 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.
UR  - https://www.sv-jme.eu/article/optimization-of-running-blade-prosthetics-by-means-of-crow-search-algorithm-assisted-by-artificial-neural-networks/
@article{{sv-jme}{sv-jme.2020.6990},
	author = {Rosel Solís, M., Dávalos Ramírez, J., Molina Salazar, J., Ruiz Ochoa, J., Gómez Roa, A.},
	title = {Optimization of Running Blade Prosthetics Utilizing Crow Search Algorithm Assisted by Artificial Neural Networks},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {67},
	number = {3},
	year = {2021},
	doi = {10.5545/sv-jme.2020.6990},
	url = {https://www.sv-jme.eu/article/optimization-of-running-blade-prosthetics-by-means-of-crow-search-algorithm-assisted-by-artificial-neural-networks/}
}
TY  - JOUR
AU  - Rosel Solís, Manuel Javier
AU  - Dávalos Ramírez, José Omar
AU  - Molina Salazar, Javier 
AU  - Ruiz Ochoa, Juan Antonio
AU  - Gómez Roa, Antonio 
PY  - 2021/04/14
TI  - Optimization of Running Blade Prosthetics Utilizing Crow Search Algorithm Assisted by Artificial Neural Networks
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 67, No 3 (2021): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2020.6990
KW  - optimization, crow search algorithm, artificial neural networks, running blade prosthetics, Tsai-Wu criterion, finite element method
N2  - 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.
UR  - https://www.sv-jme.eu/article/optimization-of-running-blade-prosthetics-by-means-of-crow-search-algorithm-assisted-by-artificial-neural-networks/
Rosel Solís, Manuel, Dávalos Ramírez, José, Molina Salazar, Javier, Ruiz Ochoa, Juan, AND Gómez Roa, Antonio.
"Optimization of Running Blade Prosthetics Utilizing Crow Search Algorithm Assisted by Artificial Neural Networks" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 67 Number 3 (14 April 2021)

Authors

Affiliations

  • Autonomous University of Baja California, México 1
  • Autonomous University of Ciudad Juárez, México 2

Paper's information

Strojniški vestnik - Journal of Mechanical Engineering 67(2021)3, 88-100

https://doi.org/10.5545/sv-jme.2020.6990

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.

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