New Liquid Holdup and Load Point Models in the Loading Region for Sheet Metal-Structured Packings and Performance Comparisons with Literature Models

2020 ◽  
Vol 59 (34) ◽  
pp. 15309-15316
Author(s):  
Anil Krishna Jammula ◽  
James Rob Whiteley ◽  
Michael R. Resetarits ◽  
Tony J. Cai
2019 ◽  
Vol 66 (1) ◽  
pp. 631-640 ◽  
Author(s):  
Fengge Zhang ◽  
Siyang Yu ◽  
Yutao Wang ◽  
Shi Jin ◽  
Milutin G. Jovanovic

2006 ◽  
Vol 47 (2) ◽  
pp. 174-200 ◽  
Author(s):  
Mohamed S. El-Genk ◽  
Hamed H. Saber ◽  
Thierry Caillat ◽  
Jeff Sakamoto

2014 ◽  
Vol 1037 ◽  
pp. 79-82
Author(s):  
Wen Qiong Zhang ◽  
Yong Xian Li ◽  
Wei Wei

The paper establishes the objective functional model of sheet metal forming in drawing process with ANN, a mapping between sheet forming parameters and performance evaluation indexes was built, which provides important preferences for researching and optimizing these parameters. It obtains neural network model of high precision through the training of cross experiment method. At last a model was built. According to the test results, the error of the network were less than 5%.That means the network is available, and also it establishes foundation of the process parameters optimization.


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