skip to main content
Idioma:
Resultados 1 2 3 4 5 next page
Refinado por: Nome da Publicação: International Journal Of Advanced Manufacturing Technology remover assunto: Technology remover
Result Number Material Type Add to My Shelf Action Record Details and Options
1
Prediction of bending force in the hot strip rolling process using artificial neural network and genetic algorithm (ANN-GA)
Prediction of bending force in the hot strip rolling process using artificial neural network and genetic algorithm (ANN-GA)
Material Type:
Artigo 		Adicionar ao Meu Espaço

Prediction of bending force in the hot strip rolling process using artificial neural network and genetic algorithm (ANN-GA)

Wang, Zhen-Hua ; Gong, Dian-Yao ; Li, Xu ; Li, Guang-Tao ; Zhang, Dian-Hua

International journal of advanced manufacturing technology, 2017-12, Vol.93 (9-12), p.3325-3338 [Periódico revisado por pares]

London: Springer London

Texto completo disponível

Citações Citado por
2
Parameter optimization of friction stir welding of cryorolled AA2219 alloy using artificial neural network modeling with genetic algorithm
Parameter optimization of friction stir welding of cryorolled AA2219 alloy using artificial neural network modeling with genetic algorithm
Material Type:
Artigo 		Adicionar ao Meu Espaço

Parameter optimization of friction stir welding of cryorolled AA2219 alloy using artificial neural network modeling with genetic algorithm

Kamal Babu, K. ; Panneerselvam, K. ; Sathiya, P. ; Noorul Haq, A. ; Sundarrajan, S. ; Mastanaiah, P. ; Srinivasa Murthy, C. V.

International journal of advanced manufacturing technology, 2018-02, Vol.94 (9-12), p.3117-3129 [Periódico revisado por pares]

London: Springer London

Texto completo disponível

Citações Citado por
3
The use of support vector machine, neural network, and regression analysis to predict and optimize surface roughness and cutting forces in milling
The use of support vector machine, neural network, and regression analysis to predict and optimize surface roughness and cutting forces in milling
Material Type:
Artigo 		Adicionar ao Meu Espaço

The use of support vector machine, neural network, and regression analysis to predict and optimize surface roughness and cutting forces in milling

Yeganefar, Ali ; Niknam, Seyed Ali ; Asadi, Reza

International journal of advanced manufacturing technology, 2019-11, Vol.105 (1-4), p.951-965 [Periódico revisado por pares]

London: Springer London

Texto completo disponível

Citações Citado por
4
Artificial neural network for modeling and investigating the effects of forming tool characteristics on the accuracy and formability of thin aluminum alloy blanks when using SPIF
Artificial neural network for modeling and investigating the effects of forming tool characteristics on the accuracy and formability of thin aluminum alloy blanks when using SPIF
Material Type:
Artigo 		Adicionar ao Meu Espaço

Artificial neural network for modeling and investigating the effects of forming tool characteristics on the accuracy and formability of thin aluminum alloy blanks when using SPIF

Najm, Sherwan Mohammed ; Paniti, Imre

International journal of advanced manufacturing technology, 2021-06, Vol.114 (9-10), p.2591-2615 [Periódico revisado por pares]

London: Springer London

Texto completo disponível

Citações Citado por
5
Investigation, modeling, and optimization of cutting parameters in turning of gray cast iron using coated and uncoated silicon nitride ceramic tools. Based on ANN, RSM, and GA optimization
Investigation, modeling, and optimization of cutting parameters in turning of gray cast iron using coated and uncoated silicon nitride ceramic tools. Based on ANN, RSM, and GA optimization
Material Type:
Artigo 		Adicionar ao Meu Espaço

Investigation, modeling, and optimization of cutting parameters in turning of gray cast iron using coated and uncoated silicon nitride ceramic tools. Based on ANN, RSM, and GA optimization

Laouissi, Aissa ; Yallese, M. A. ; Belbah, A. ; Belhadi, S. ; Haddad, A.

International journal of advanced manufacturing technology, 2019-03, Vol.101 (1-4), p.523-548 [Periódico revisado por pares]

London: Springer London

Texto completo disponível

Citações Citado por
6
Drilling of a bidirectional jute fibre and cork-reinforced polymer biosandwich structure: ANN and RSM approaches for modelling and optimization
Drilling of a bidirectional jute fibre and cork-reinforced polymer biosandwich structure: ANN and RSM approaches for modelling and optimization
Material Type:
Artigo 		Adicionar ao Meu Espaço

Drilling of a bidirectional jute fibre and cork-reinforced polymer biosandwich structure: ANN and RSM approaches for modelling and optimization

Tabet, Zohir ; Belaadi, Ahmed ; Boumaaza, Messaouda ; Bourchak, Mostefa

International journal of advanced manufacturing technology, 2021-12, Vol.117 (11-12), p.3819-3839 [Periódico revisado por pares]

London: Springer London

Texto completo disponível

Citações Citado por
7
Prediction of surface roughness in milling process using vibration signal analysis and artificial neural network
Prediction of surface roughness in milling process using vibration signal analysis and artificial neural network
Material Type:
Artigo 		Adicionar ao Meu Espaço

Prediction of surface roughness in milling process using vibration signal analysis and artificial neural network

Wu, T. Y. ; Lei, K. W.

International journal of advanced manufacturing technology, 2019-05, Vol.102 (1-4), p.305-314 [Periódico revisado por pares]

London: Springer London

Texto completo disponível

Citações Citado por
8
Mechanical characterization and optimization of delamination factor in drilling bidirectional jute fibre-reinforced polymer biocomposites
Mechanical characterization and optimization of delamination factor in drilling bidirectional jute fibre-reinforced polymer biocomposites
Material Type:
Artigo 		Adicionar ao Meu Espaço

Mechanical characterization and optimization of delamination factor in drilling bidirectional jute fibre-reinforced polymer biocomposites

Belaadi, Ahmed ; Boumaaza, Messaouda ; Amroune, Salah ; Bourchak, Mostefa

International journal of advanced manufacturing technology, 2020-12, Vol.111 (7-8), p.2073-2094 [Periódico revisado por pares]

London: Springer London

Texto completo disponível

Citações Citado por
9
Mechanical response assessment of antibacterial PA12/TiO2 3D printed parts: parameters optimization through artificial neural networks modeling
Mechanical response assessment of antibacterial PA12/TiO2 3D printed parts: parameters optimization through artificial neural networks modeling
Material Type:
Artigo 		Adicionar ao Meu Espaço

Mechanical response assessment of antibacterial PA12/TiO2 3D printed parts: parameters optimization through artificial neural networks modeling

Vidakis, Nectarios ; Petousis, Markos ; Mountakis, Nikolaos ; Maravelakis, Emmanuel ; Zaoutsos, Stefanos ; Kechagias, John D.

International journal of advanced manufacturing technology, 2022-07, Vol.121 (1-2), p.785-803 [Periódico revisado por pares]

London: Springer London

Texto completo disponível

Citações Citado por
10
Multi-objective analysis and optimization of energy aspects during dry and MQL turning of unreinforced polypropylene (PP): an approach based on ANOVA, ANN, MOWCA, and MOALO
Multi-objective analysis and optimization of energy aspects during dry and MQL turning of unreinforced polypropylene (PP): an approach based on ANOVA, ANN, MOWCA, and MOALO
Material Type:
Artigo 		Adicionar ao Meu Espaço

Multi-objective analysis and optimization of energy aspects during dry and MQL turning of unreinforced polypropylene (PP): an approach based on ANOVA, ANN, MOWCA, and MOALO

Hamdi, Amine ; Yapan, Yusuf Furkan ; Uysal, Alper ; Abderazek, Hammoudi

International journal of advanced manufacturing technology, 2023-10, Vol.128 (11-12), p.4933-4950 [Periódico revisado por pares]

London: Springer London

Texto completo disponível

Citações Citado por
Resultados 1 2 3 4 5 next page

Personalize Seus Resultados

  1. Editar

Refine Search Results

Expandir Meus Resultados

  1.   

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.