Performance assessment of Sn-based lead-free solder composite joints based on extreme learning machine model tuned by Aquila optimizer-Reference-Cited by-同舟云学术

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Performance assessment of Sn-based lead-free solder composite joints based on extreme learning machine model tuned by Aquila optimizer

Published:2024-01 Issue: Volume:970 Page:172684
ISSN:0925-8388
Container-title:Journal of Alloys and Compounds
language:en
Short-container-title:Journal of Alloys and Compounds

Author:

Dele-Afolabi T.T.,Ahmadipour Masoud,Azmah Hanim M.A.,Oyekanmi A.A.,Ansari M.N.M.,Sikiru Surajudeen,Kumar Niraj

Funder

Tenaga Nasional Berhad

Universiti Tenaga Nasional

Publisher

Elsevier BV

Subject

Materials Chemistry,Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Reference45 articles.

1. Creep life prediction for Sn-5Sb lead-free solder alloy: model and experiment;Vafaeenezhad;Microelectron. Eng.,2019

2. Assessing microstructure and mechanical behavior changes in a Sn-Sb solder alloy induced by cooling rate;Schon;J. Alloy. Compd.,2019

3. Electrochemical corrosion behaviour of Sn–Sb solder alloys: the roles of alloy Sb content and type of intermetallic compound;Dias;Corros. Eng. Sci. Technol.,2021

4. Creep properties of Sn–Sb based lead-free solder alloys;El-Daly;J. Alloy. Compd.,2009

5. Investigating the effect of isothermal aging on the morphology and shear strength of Sn-5Sb solder reinforced with carbon nanotubes;Dele-Afolabi;J. Alloy. Compd.,2015

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