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首页> 外文期刊>Journal of Materials Research and Technology >Interfacial IMC evolution and shear strength of MWCNTs-reinforced Sn–5Sb composite solder joints: Experimental characterization and artificial neural network modelling
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Interfacial IMC evolution and shear strength of MWCNTs-reinforced Sn–5Sb composite solder joints: Experimental characterization and artificial neural network modelling

机译:MWCNTS增强SN-5SB复合焊点的界面IMC演化与剪切强度:实验表征和人工神经网络建模

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摘要

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 Sne5Sb 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.
机译:电子产品的连续小型化和最终用户的不断上升的功能需求需要为学术界和行业进行主要挑战,以生产长期服务的可靠无铅焊料。在本研究中,进行了对SNE5SB焊接接头的界面IMC(金属间化合物)演化和剪切强度的MWCNTS(多壁碳纳米管)的影响分析。通过回流焊接过程开发复合焊接接头样品,然后在不同温度(120℃,150℃和170℃)下进行等温老化。鉴于MWCNT的有希望的性质,由于SN-5SB焊料合金中的MWNCTS存在MWNCT,经验结果表明,由于SN-5SB焊料合金中的MWNCTS存在,显着实现了抑制界面IMC演化和增强的剪切强度。通过使用实验数据来开发人工神经网络(ANN)模型来表征复合焊点。影响IMC层厚度的各种影响参数以及包括MWCNT含量,老化温度和老化时间的复合焊点的剪切强度性能被认为是ANN模型的输入参数。使用诸如确定系数(R2)和根均方误差(RMSE)的统计参数来评估模型,在该研究中开发的ANN模型充分预测了IMC层厚度(R2 = 0.9913; RMSE = 0.0234)和复合焊点的剪切强度(R2 = 0.9798; RMSE = 0.0314)。

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