Interfacial IMC evolution and shear strength of MWCNTs-reinforced Sn–5Sb composite solder joints: Experimental characterization and artificial neural network modelling

The continuous miniaturization of electronic products and the constantly rising functionality demand by final users necessitate major challenges for the academia and the industry to produce reliable lead-free solders for long-term service. In the present study, an analysis on the influence of MWCNTs...

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Main Authors: T.T. Dele-Afolabi, M.A. Azmah Hanim, O.J. Ojo-Kupoluyi, D.W. Jung, A.A. Nuraini, A.A. Erameh
Format: Article
Language:English
Published: Elsevier 2021-07-01
Series:Journal of Materials Research and Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785421004828
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spelling doaj-74460b164ad046b6a89558931becfad32021-07-23T04:49:23ZengElsevierJournal of Materials Research and Technology2238-78542021-07-011310201031Interfacial IMC evolution and shear strength of MWCNTs-reinforced Sn–5Sb composite solder joints: Experimental characterization and artificial neural network modellingT.T. Dele-Afolabi0M.A. Azmah Hanim1O.J. Ojo-Kupoluyi2D.W. Jung3A.A. Nuraini4A.A. Erameh5Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, UPM, Serdang, Selangor, 43400, Malaysia; Department of Mechatronics Engineering, College of Engineering and Technology, Achievers University, Owo, Nigeria; Corresponding author.Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, UPM, Serdang, Selangor, 43400, Malaysia; Advance Engineering Materials and Composites Research Center, (AEMC), Faculty of Engineering, Universiti Putra Malaysia, UPM, Serdang, Selangor, 43400, Malaysia; Corresponding author.Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, UPM, Serdang, Selangor, 43400, MalaysiaDepartment of Mechanical Engineering, Jeju National University, 1 Ara 1-dong, Jeju-si, Jeju, 690-756, Republic of KoreaDepartment of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, UPM, Serdang, Selangor, 43400, MalaysiaDepartment of Mechanical Engineering, Igbinedion University, Okada, NigeriaThe continuous miniaturization of electronic products and the constantly rising functionality demand by final users necessitate major challenges for the academia and the industry to produce reliable lead-free solders for long-term service. In the present study, an analysis on the influence of MWCNTs (multi-walled carbon nanotubes) on the interfacial IMC (intermetallic compound) evolution and shear strength of Sn–5Sb solder joint was performed. The composite solder joint samples were developed through the reflow soldering process and thereafter subjected to isothermal aging at different temperatures (120 °C, 150 °C and 170 °C). Given the promising properties of MWCNTs, empirical findings showed that inhibited interfacial IMC evolution and enhanced shear strength were markedly achieved due to the presence of MWNCTs in the Sn–5Sb solder alloy. Artificial neural network (ANN) model was developed by making use of the experimental data to characterize the composite solder joints. Various influential parameters that affect the thickness of the IMC layer and the shear strength performance of the composite solder joints including the MWCNTs content, aging temperature and aging time were considered as the input parameters for the ANN model. Having used the statistical parameters such as the coefficient of determination (R2) and root mean square error (RMSE) to evaluate the model, the ANN model developed in this study adequately predicted the IMC layer thickness (R2 = 0.9913; RMSE = 0.0234) and shear strength (R2 = 0.9798; RMSE = 0.0314) of the composite solder joints.http://www.sciencedirect.com/science/article/pii/S2238785421004828Composite soldersCarbon nanotubesIMC layerShear strengthArtificial neural network
collection DOAJ
language English
format Article
sources DOAJ
author T.T. Dele-Afolabi
M.A. Azmah Hanim
O.J. Ojo-Kupoluyi
D.W. Jung
A.A. Nuraini
A.A. Erameh
spellingShingle T.T. Dele-Afolabi
M.A. Azmah Hanim
O.J. Ojo-Kupoluyi
D.W. Jung
A.A. Nuraini
A.A. Erameh
Interfacial IMC evolution and shear strength of MWCNTs-reinforced Sn–5Sb composite solder joints: Experimental characterization and artificial neural network modelling
Journal of Materials Research and Technology
Composite solders
Carbon nanotubes
IMC layer
Shear strength
Artificial neural network
author_facet T.T. Dele-Afolabi
M.A. Azmah Hanim
O.J. Ojo-Kupoluyi
D.W. Jung
A.A. Nuraini
A.A. Erameh
author_sort T.T. Dele-Afolabi
title Interfacial IMC evolution and shear strength of MWCNTs-reinforced Sn–5Sb composite solder joints: Experimental characterization and artificial neural network modelling
title_short Interfacial IMC evolution and shear strength of MWCNTs-reinforced Sn–5Sb composite solder joints: Experimental characterization and artificial neural network modelling
title_full Interfacial IMC evolution and shear strength of MWCNTs-reinforced Sn–5Sb composite solder joints: Experimental characterization and artificial neural network modelling
title_fullStr Interfacial IMC evolution and shear strength of MWCNTs-reinforced Sn–5Sb composite solder joints: Experimental characterization and artificial neural network modelling
title_full_unstemmed Interfacial IMC evolution and shear strength of MWCNTs-reinforced Sn–5Sb composite solder joints: Experimental characterization and artificial neural network modelling
title_sort interfacial imc evolution and shear strength of mwcnts-reinforced sn–5sb composite solder joints: experimental characterization and artificial neural network modelling
publisher Elsevier
series Journal of Materials Research and Technology
issn 2238-7854
publishDate 2021-07-01
description The continuous miniaturization of electronic products and the constantly rising functionality demand by final users necessitate major challenges for the academia and the industry to produce reliable lead-free solders for long-term service. In the present study, an analysis on the influence of MWCNTs (multi-walled carbon nanotubes) on the interfacial IMC (intermetallic compound) evolution and shear strength of Sn–5Sb solder joint was performed. The composite solder joint samples were developed through the reflow soldering process and thereafter subjected to isothermal aging at different temperatures (120 °C, 150 °C and 170 °C). Given the promising properties of MWCNTs, empirical findings showed that inhibited interfacial IMC evolution and enhanced shear strength were markedly achieved due to the presence of MWNCTs in the Sn–5Sb solder alloy. Artificial neural network (ANN) model was developed by making use of the experimental data to characterize the composite solder joints. Various influential parameters that affect the thickness of the IMC layer and the shear strength performance of the composite solder joints including the MWCNTs content, aging temperature and aging time were considered as the input parameters for the ANN model. Having used the statistical parameters such as the coefficient of determination (R2) and root mean square error (RMSE) to evaluate the model, the ANN model developed in this study adequately predicted the IMC layer thickness (R2 = 0.9913; RMSE = 0.0234) and shear strength (R2 = 0.9798; RMSE = 0.0314) of the composite solder joints.
topic Composite solders
Carbon nanotubes
IMC layer
Shear strength
Artificial neural network
url http://www.sciencedirect.com/science/article/pii/S2238785421004828
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