2013
DOI: 10.1080/01694243.2013.805640
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Identification of mechanical properties of CuSil-steel brazed structures joints: a numerical approach

Abstract: In this paper, the inverse method is used to identify the mechanical characteristics of a brazed joint. This technique is based upon tensile tests and/or shearing test combined with the results of a calculation using finite elements method. This paper shows that calculation of a brazed assembly under an elastic behavior assumption is flawed. A correct study of a brazed assembly must be done under an elastoplastic assumption. The presented method will be used for calculation of molds manufactured by stratoconce… Show more

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Cited by 6 publications
(8 citation statements)
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(4 reference statements)
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“…Numerical calculations have been conducted for doped crystals to determine the thermodynamic effects and how they depend on the DR and temperature of the crystals. The results of the calculations are in good agreement with experimental values and those of other studies [2][3][4][5][6][7][8][9][10][11]13,16,17].…”
Section: Introductionsupporting
confidence: 88%
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“…Numerical calculations have been conducted for doped crystals to determine the thermodynamic effects and how they depend on the DR and temperature of the crystals. The results of the calculations are in good agreement with experimental values and those of other studies [2][3][4][5][6][7][8][9][10][11]13,16,17].…”
Section: Introductionsupporting
confidence: 88%
“…Figure 3 shows the temperature dependence of the calculated first cumulant, or net thermal expansion (1)  for Cu, Ag, CuAg72 (the alloy with 28% Cu atoms and 72% Ag atoms, referred to as CuSil or UNS P07720 [16]), and CuZn45 (the alloy with 55% Cu atoms and 45% Zn atoms referred to as the brass [17], a yellow alloy of copper and zinc). Figure 4 illustrates the temperature dependence of the calculated second cumulant or DWF ( 2)  , for Cu-Cu, Ag-Ag, Zn-Zn, and their alloys CuAg72 and CuNi45, and comparison with the experimental values [8,12].…”
Section: Fig 3 Temperature Dependence Of the First Cumulantmentioning
confidence: 99%
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“…Numerous methods have been developed to investigate how temperature affects the EXAFS cumulants, such as path-integral effective-potential theory (Yokoyama, 1999), the statistical moment method (V. v. Hung et al, 2010), the ratio method (Bunker, 1983), the Debye model (Beni & Platzman, 1976), the Einstein model (Frenkel & Rehr, 1993), and the anharmonic correlated Einstein model (ACEM) (N. v. Hung & Rehr, 1997). Several groups have applied ACEM theory to EXAFS to study how the thermodynamic properties depend on temperature with the effect of the material doping ratio (DR) (Duc et al, 2017;Hung et al, 2015;Kraut & Stern, 2000;Nafi et al, 2013). However, no reports to date have discussed how the thermodynamic parameters and the Debye-Waller factor (DWF) depend on temperature and pressure for Cu, Ag, and their intermetallic alloy CuAg72.…”
Section: Introductionmentioning
confidence: 99%
“…CuAg72 has a ratio of 72% Ag and 28% Cu (±1%) and is also known as CuSil or UNS P0772 (note: CuSil should not be confused with Cusil-ABA, which has the composition 63.0% Ag, 35.25% Cu, and 1.75% Ti). It is an eutectic alloy and is used primarily for vacuum brazing (Nafi et al, 2013).…”
Section: Introductionmentioning
confidence: 99%