Optimum Design Based on Sequential Design of Experiments and Artificial Neural Network for Enhancing Occupant Head Protection in B-Pillar Trim

2013 ◽  
Vol 37 (11) ◽  
pp. 1397-1405
Author(s):  
Jung Hwan Lee ◽  
Myung Won Suh
2019 ◽  
Vol 793 ◽  
pp. 23-28
Author(s):  
Woo Jae Song ◽  
Eun Sang Lee

Nitinol consists of nickel and titanium. Nitinol is one of the shape memory alloys, which changes the crystal structure at a certain temperature and is restored to a memorized form. Because of these unique features, it is used in medical devices, high precision sensors, and aerospace industries. However, Nitinol is a traditional method of processing, resulting in thermal deformation and residual stress after processing. Therefore, the electrochemical machining (ECM), which does not produce residual stress and thermal deformation, has emerged as an alternative processing technique. This study used artificial neural network (ANN), which are the basis of AI, to replace conventional design of experiments (DOE). This method was shown to be more useful than conventional method of design of experiments (RSM, Taguchi) by applying artificial neural network to electrochamical machining (ECM) and comparing root mean square errors (RMSE).


Energy and AI ◽  
2021 ◽  
Vol 3 ◽  
pp. 100040
Author(s):  
Lara Werncke Vieira ◽  
Augusto Delavald Marques ◽  
Paulo Smith Schneider ◽  
Antônio José da Silva Neto ◽  
Felipe Antonio Chegury Viana ◽  
...  

2000 ◽  
Vol 25 (4) ◽  
pp. 325-325
Author(s):  
J.L.N. Roodenburg ◽  
H.J. Van Staveren ◽  
N.L.P. Van Veen ◽  
O.C. Speelman ◽  
J.M. Nauta ◽  
...  

2004 ◽  
Vol 171 (4S) ◽  
pp. 502-503
Author(s):  
Mohamed A. Gomha ◽  
Khaled Z. Sheir ◽  
Saeed Showky ◽  
Khaled Madbouly ◽  
Emad Elsobky ◽  
...  

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