1997
DOI: 10.1016/s1359-6454(96)00253-4
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Thermodynamics-aided alloy design and evaluation of Pb-free solder, SnBiInZn system

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Cited by 121 publications
(67 citation statements)
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“…4. Calculated isopleths of Bi-In-Sn-Zn system: (a) Sn-Bi-2In-9Zn and (b) Sn-Bi-5Sn-6Zn alloys compared with the temperature arrests measured by DSC method [2] considering the β phase (BiIn 9 ), which is in better agreement with the experimental data than the earlier calculation. They also accepted the limiting solubility of Sn in the binary BiIn, Bi 3 In 5 and BiIn 2 intermetallic phases.…”
Section: Hcp_a3supporting
confidence: 63%
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“…4. Calculated isopleths of Bi-In-Sn-Zn system: (a) Sn-Bi-2In-9Zn and (b) Sn-Bi-5Sn-6Zn alloys compared with the temperature arrests measured by DSC method [2] considering the β phase (BiIn 9 ), which is in better agreement with the experimental data than the earlier calculation. They also accepted the limiting solubility of Sn in the binary BiIn, Bi 3 In 5 and BiIn 2 intermetallic phases.…”
Section: Hcp_a3supporting
confidence: 63%
“…The composition dependence of the (Sn) dissolution limit is in very good agreement with the calculated results. Moreover, the difference in the experimental and the calculated temperatures of solidus and liquidus observed in Figs 4a-b can be connected with the unusual method of analysis of the thermal arrests found on the DSC curves performed by Yoon et al [2].…”
Section: Hcp_a3mentioning
confidence: 78%
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“…Thermodynamics aided design approaches have been applied, at different degrees, in various systems such as Fe-NiCo [1], Al-Ti-V-Zr [2], Sn-Bi-In-Zn [3], Mg-Li-Al-Zn [4], Mg-Ce-Mn-Y [5], multicomponent powder metallurgy high speed steels [6] and Ultra-High Strength steels [7]. Another popular computational approach is artificial neural networks which extracts empirical trends from exploring large databases [8].…”
Section: Introductionmentioning
confidence: 99%