A novel multi-information fusion CNN for defect detection in laser soldering of SAC305-Reference-Cited by-同舟云学术

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A novel multi-information fusion CNN for defect detection in laser soldering of SAC305

Published:2024-11 Issue: Volume:162 Page:115519
ISSN:0026-2714
Container-title:Microelectronics Reliability
language:en
Short-container-title:Microelectronics Reliability

Author:

Wang Wei,Zhao Hongyun,Yang Biao,Liu Fuyun,Wei Lianfeng,Niu Zengqiang,Lu Guojie,Wang Qiao,Song Xiaoguo,Tan Caiwang

Funder

Key Technologies Research and Development Program

Harbin Institute of Technology State Key Laboratory of Advanced Welding and Joining

Shandong Province Natural Science Foundation

Taishan Scholar Foundation of Shandong Province

Publisher

Elsevier BV

Reference34 articles.

1. Diode laser soldering technology of fine pitch QFP devices;Xue;CJME,2011

2. Multi-objective optimization on laser solder jet bonding process in head gimbal assembly using the response surface methodology;Deeying;Opt. Laser Technol.,2018

3. An overview of non-destructive testing methods for integrated circuit packaging inspection;Aryan;Sensors,2018

4. Intelligent diagnosis of flip chip solder joints with resolution enhanced SAM image;Lu;ISA Trans.,2023

5. Electrical interconnection and bonding by Nano-locking;Guo;Nanomaterials,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Laser power modulation for improving laser soldering defects via LSTM and CNN models;Optics & Laser Technology;2025-12

2. Defect Detection in Industrial Soldering Processes Using Machine Learning: A Critical Literature Review;IEEE Access;2025

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