The Application of Neural Networks to Modular Arrangements of Predetermined Time Standards

BASITERE, Emmanuel ;DANIYAN, Ilesanmi ;MPOFU, Khumbulani ;ADEODU, Adefemi .
The Application of Neural Networks to Modular Arrangements of Predetermined Time Standards. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 69, n.1-2, p. 61-72, october 2022. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/application-of-neural-network-to-modular-arrangement-of-predetermined-time-standards/>. Date accessed: 20 dec. 2024. 
doi:http://dx.doi.org/10.5545/sv-jme.2022.238.

Basitere, E., Daniyan, I., Mpofu, K., & Adeodu, A.
(2023).
The Application of Neural Networks to Modular Arrangements of Predetermined Time Standards.
Strojniški vestnik - Journal of Mechanical Engineering, 69(1-2), 61-72.
doi:http://dx.doi.org/10.5545/sv-jme.2022.238

@article{sv-jmesv-jme.2022.238,
	author = {Emmanuel  Basitere and Ilesanmi  Daniyan and Khumbulani  Mpofu and Adefemi  Adeodu},
	title = {The Application of Neural Networks to Modular Arrangements of Predetermined Time Standards},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {69},
	number = {1-2},
	year = {2023},
	keywords = {artificial neural network; modular arrangement of predetermined time standard; TensorFlow algorithm; },
	abstract = {To study the method of reducing the low-frequency vibration noise of tires, a passenger car tire (205/55R16) is taken as the research object. The dynamic grounding characteristics and vibration reduction mechanism of the cat’s paw pad are analysed. The research showed that the swing deformation characteristics of paw pads during the walking process of cats are one of the main ways to reduce the impact from the ground and achieve vibration reduction and silencing. To analyse the influence of tire grounding on noise, tire grounding is divided into five areas, and the characteristics of ten tire grounding areas are analysed through tests. Pearson correlation analysis is used to obtain the characteristics of the eight most relevant grounding parameters with tire noise, and multiple linear regression is conducted between the characteristics of the eight grounding areas. The product of the correlation coefficient and the average value of the characteristics of the ground contact area shows that the central area of the tire tread contributes the most to the tire noise. The swing deformation characteristics of the bionic cat paw pad are realized by setting the staggered side branch pipe groove in the centre of the tire, and the vibration reduction characteristics of the bionic tire are analysed using the finite element method. The results showed that when the tire rolls, the amplitude and fluctuation range of the ground radial excitation force acting on the bionic tire are reduced compared with the original tire, and the vibration and noise characteristics of the tire are improved.},
	issn = {0039-2480},	pages = {61-72},	doi = {10.5545/sv-jme.2022.238},
	url = {https://www.sv-jme.eu/article/application-of-neural-network-to-modular-arrangement-of-predetermined-time-standards/}
}

Basitere, E.,Daniyan, I.,Mpofu, K.,Adeodu, A.
2023 October 69. The Application of Neural Networks to Modular Arrangements of Predetermined Time Standards. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 69:1-2

%A Basitere, Emmanuel 
%A Daniyan, Ilesanmi 
%A Mpofu, Khumbulani 
%A Adeodu, Adefemi 
%D 2023
%T The Application of Neural Networks to Modular Arrangements of Predetermined Time Standards
%B 2023
%9 artificial neural network; modular arrangement of predetermined time standard; TensorFlow algorithm; 
%! The Application of Neural Networks to Modular Arrangements of Predetermined Time Standards
%K artificial neural network; modular arrangement of predetermined time standard; TensorFlow algorithm; 
%X To study the method of reducing the low-frequency vibration noise of tires, a passenger car tire (205/55R16) is taken as the research object. The dynamic grounding characteristics and vibration reduction mechanism of the cat’s paw pad are analysed. The research showed that the swing deformation characteristics of paw pads during the walking process of cats are one of the main ways to reduce the impact from the ground and achieve vibration reduction and silencing. To analyse the influence of tire grounding on noise, tire grounding is divided into five areas, and the characteristics of ten tire grounding areas are analysed through tests. Pearson correlation analysis is used to obtain the characteristics of the eight most relevant grounding parameters with tire noise, and multiple linear regression is conducted between the characteristics of the eight grounding areas. The product of the correlation coefficient and the average value of the characteristics of the ground contact area shows that the central area of the tire tread contributes the most to the tire noise. The swing deformation characteristics of the bionic cat paw pad are realized by setting the staggered side branch pipe groove in the centre of the tire, and the vibration reduction characteristics of the bionic tire are analysed using the finite element method. The results showed that when the tire rolls, the amplitude and fluctuation range of the ground radial excitation force acting on the bionic tire are reduced compared with the original tire, and the vibration and noise characteristics of the tire are improved.
%U https://www.sv-jme.eu/article/application-of-neural-network-to-modular-arrangement-of-predetermined-time-standards/
%0 Journal Article
%R 10.5545/sv-jme.2022.238
%& 61
%P 12
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 69
%N 1-2
%@ 0039-2480
%8 2022-10-21
%7 2022-10-21

Basitere, Emmanuel, Ilesanmi  Daniyan, Khumbulani  Mpofu, & Adefemi  Adeodu.
"The Application of Neural Networks to Modular Arrangements of Predetermined Time Standards." Strojniški vestnik - Journal of Mechanical Engineering [Online], 69.1-2 (2023): 61-72. Web.  20 Dec. 2024

TY  - JOUR
AU  - Basitere, Emmanuel 
AU  - Daniyan, Ilesanmi 
AU  - Mpofu, Khumbulani 
AU  - Adeodu, Adefemi 
PY  - 2023
TI  - The Application of Neural Networks to Modular Arrangements of Predetermined Time Standards
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2022.238
KW  - artificial neural network; modular arrangement of predetermined time standard; TensorFlow algorithm; 
N2  - To study the method of reducing the low-frequency vibration noise of tires, a passenger car tire (205/55R16) is taken as the research object. The dynamic grounding characteristics and vibration reduction mechanism of the cat’s paw pad are analysed. The research showed that the swing deformation characteristics of paw pads during the walking process of cats are one of the main ways to reduce the impact from the ground and achieve vibration reduction and silencing. To analyse the influence of tire grounding on noise, tire grounding is divided into five areas, and the characteristics of ten tire grounding areas are analysed through tests. Pearson correlation analysis is used to obtain the characteristics of the eight most relevant grounding parameters with tire noise, and multiple linear regression is conducted between the characteristics of the eight grounding areas. The product of the correlation coefficient and the average value of the characteristics of the ground contact area shows that the central area of the tire tread contributes the most to the tire noise. The swing deformation characteristics of the bionic cat paw pad are realized by setting the staggered side branch pipe groove in the centre of the tire, and the vibration reduction characteristics of the bionic tire are analysed using the finite element method. The results showed that when the tire rolls, the amplitude and fluctuation range of the ground radial excitation force acting on the bionic tire are reduced compared with the original tire, and the vibration and noise characteristics of the tire are improved.
UR  - https://www.sv-jme.eu/article/application-of-neural-network-to-modular-arrangement-of-predetermined-time-standards/

@article{{sv-jme}{sv-jme.2022.238},
	author = {Basitere, E., Daniyan, I., Mpofu, K., Adeodu, A.},
	title = {The Application of Neural Networks to Modular Arrangements of Predetermined Time Standards},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {69},
	number = {1-2},
	year = {2023},
	doi = {10.5545/sv-jme.2022.238},
	url = {https://www.sv-jme.eu/article/application-of-neural-network-to-modular-arrangement-of-predetermined-time-standards/}
}

TY  - JOUR
AU  - Basitere, Emmanuel 
AU  - Daniyan, Ilesanmi 
AU  - Mpofu, Khumbulani 
AU  - Adeodu, Adefemi 
PY  - 2022/10/21
TI  - The Application of Neural Networks to Modular Arrangements of Predetermined Time Standards
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 69, No 1-2 (2023): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2022.238
KW  - artificial neural network, modular arrangement of predetermined time standard, TensorFlow algorithm, 
N2  - To study the method of reducing the low-frequency vibration noise of tires, a passenger car tire (205/55R16) is taken as the research object. The dynamic grounding characteristics and vibration reduction mechanism of the cat’s paw pad are analysed. The research showed that the swing deformation characteristics of paw pads during the walking process of cats are one of the main ways to reduce the impact from the ground and achieve vibration reduction and silencing. To analyse the influence of tire grounding on noise, tire grounding is divided into five areas, and the characteristics of ten tire grounding areas are analysed through tests. Pearson correlation analysis is used to obtain the characteristics of the eight most relevant grounding parameters with tire noise, and multiple linear regression is conducted between the characteristics of the eight grounding areas. The product of the correlation coefficient and the average value of the characteristics of the ground contact area shows that the central area of the tire tread contributes the most to the tire noise. The swing deformation characteristics of the bionic cat paw pad are realized by setting the staggered side branch pipe groove in the centre of the tire, and the vibration reduction characteristics of the bionic tire are analysed using the finite element method. The results showed that when the tire rolls, the amplitude and fluctuation range of the ground radial excitation force acting on the bionic tire are reduced compared with the original tire, and the vibration and noise characteristics of the tire are improved.
UR  - https://www.sv-jme.eu/article/application-of-neural-network-to-modular-arrangement-of-predetermined-time-standards/

Basitere, Emmanuel, Daniyan, Ilesanmi, Mpofu, Khumbulani, AND Adeodu, Adefemi.
"The Application of Neural Networks to Modular Arrangements of Predetermined Time Standards" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 69 Number 1-2 (21 October 2022)