scholarly journals Variation assessment of yield mode at pressure welding

2021 ◽  
Vol 2021 (3) ◽  
pp. 16-18
Author(s):  
Vladimir Chudin ◽  
Valeriy Platonov ◽  
Pavel Romanov

There are offered ratios for the computation of deformation and power modes of yielding at billet pressure welding. A power method is used for the computation of pressure with reference to a flat discontinuous field of movement speeds. Pressure minimization is carried out in a variation way. The assessment of billet material damageability is shown.

1949 ◽  
Vol 28 (9) ◽  
pp. 472
Author(s):  
Hill ◽  
Tylecote ◽  
Maybury ◽  
Ridpath ◽  
Ogden ◽  
...  

2014 ◽  
Vol 52 (9) ◽  
pp. 721-729
Author(s):  
Seul Gi Hwang ◽  
Jeong Hyun Jo ◽  
Shang shu Kim ◽  
Young ho Lee ◽  
Jae Kwan Ku

2008 ◽  
Author(s):  
Koji Nishimoto ◽  
Yoshihiro Okumoto ◽  
Tomoki Harano ◽  
Ken Atagi ◽  
Hiroo Fujii ◽  
...  

2017 ◽  
Vol 26 (1) ◽  
pp. 27 ◽  
Author(s):  
B Saranya ◽  
T Sulfikarali ◽  
S Chindhu ◽  
A M Muneeb ◽  
N K Leela ◽  
...  

Antioxidant activity of sequential extracts of black pepper, ginger, turmeric and cinnamon was determined by DPPH assay, phosphomolybdate method and ferric reducing power method and compared with that of the synthetic antioxidant BHA. The results revealed that methanol extract of cinnamon has highest antioxidant potential followed by chloroform extract of turmeric. The antioxidant potential was also correlated with total phenol content.  


Author(s):  
Oleg Novomlynets ◽  
◽  
Serhii Oleksiienko ◽  
Svitlana Yushchenko ◽  
Evgen Polovetskiy ◽  
...  

1959 ◽  
Vol 28 (5) ◽  
pp. 331-338
Author(s):  
T. Saito ◽  
K. Yamaji

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1522
Author(s):  
Anna Concas ◽  
Lothar Reichel ◽  
Giuseppe Rodriguez ◽  
Yunzi Zhang

The power method is commonly applied to compute the Perron vector of large adjacency matrices. Blondel et al. [SIAM Rev. 46, 2004] investigated its performance when the adjacency matrix has multiple eigenvalues of the same magnitude. It is well known that the Lanczos method typically requires fewer iterations than the power method to determine eigenvectors with the desired accuracy. However, the Lanczos method demands more computer storage, which may make it impractical to apply to very large problems. The present paper adapts the analysis by Blondel et al. to the Lanczos and restarted Lanczos methods. The restarted methods are found to yield fast convergence and to require less computer storage than the Lanczos method. Computed examples illustrate the theory presented. Applications of the Arnoldi method are also discussed.


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