Neural networks in prediction of accelerated thermal ageing effect on oil/paper insulation tensile strength

Author(s):  
L. Mokhnache ◽  
P. Verma ◽  
A. Boubakeur
2021 ◽  
Vol 26 ◽  
pp. 102115
Author(s):  
B.S. Reddy ◽  
Kim Hong In ◽  
Bharat B. Panigrahi ◽  
Uma Maheswera Reddy Paturi ◽  
K.K. Cho ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-7
Author(s):  
O. I. Sekunowo ◽  
G. I. Lawal ◽  
S. O. Adeosun

Samples of the 6063 (Al-1.09Mg2Si) alloy ingot were melted in a crucible furnace and cast in metal and sand moulds, respectively. Standard tensile, hardness, and microstructural test specimens were prepared from cast samples, solution treated at 520∘C, soaked for 6 hrs, and immediately quenched at ambient temperature in a trough containing water to assume a supersaturated structure. The quenched specimens were then thermally aged at 175∘C for 3–7 hrs. Results show that at different ageing time, varied fractions of precipitates and intermetallics evolved in the specimens’ matrices which affect the resulting mechanical properties. The metal mould specimens aged for four hours (MTA-4) exhibited superior ultimate tensile strength of 247.8 MPa; microhardness, 68.5 HV; elongation, 28.2% . It is concluded that the extent of improvement in mechanical properties depends on the fractions, coherence, and distribution of precipitates along with the type of intermetallics developed in the alloy during ageing process.


2019 ◽  
Vol 51 (4) ◽  
pp. 660-666 ◽  
Author(s):  
G. Li ◽  
J. M. Gong ◽  
J. Z. Tan ◽  
D. S. Zhu ◽  
W. H. Jia ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document