A novel method and device for solder joint quality inspection by using laser ultrasound

被引:9
|
作者
Liu, S [1 ]
Erdahl, D [1 ]
Ume, IC [1 ]
Achari, A [1 ]
机构
[1] Georgia Inst Technol, Atlanta, GA 30332 USA
来源
50TH ELECTRONIC COMPONENTS & TECHNOLOGY CONFERENCE - 2000 PROCEEDINGS | 2000年
关键词
D O I
10.1109/ECTC.2000.853186
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A novel, non-contact, non-destructive, on-line approach for nip chip, ball gird array (BGA), chip scale and micro EGA solder joint quality inspection is presented. In this technique, a pulsed laser generates ultrasound on the chip's surface, exciting the whole chip into a vibration motion. An interferometer was used to measure the vibration displacement of the chip's surface. Changes of solder joint quality produce different vibration responses. A signal-processing algorithm was developed to measure the difference between a good chip and chip with defects, both in time domain and frequency domain. The inspection system was characterized and results are presented for two cases of flip chips with missing solder balls. Results indicate that this laser ultrasonic/interferometeric system offers great promise for solder bump inspection in flip chip, EGA, chip scale and micro EGA packages.
引用
收藏
页码:408 / 415
页数:4
相关论文
共 50 条
  • [41] Component Layout Influences on Solder Joint Reliability Studied Using Through Life Inspection Techniques
    Braden, Derek R.
    Yang, Ryan S. H.
    Duralek, Janusz
    Zhang, Guang-Ming
    Harvey, David M.
    2012 4TH ELECTRONIC SYSTEM-INTEGRATION TECHNOLOGY CONFERENCE (ESTC), 2012,
  • [42] Automated solder joint inspection system using optical 3-D image detection
    Matsuyama, Y
    Honda, T
    Yamamura, H
    Sasazawa, H
    Nomoto, M
    Ninomiya, T
    Schick, A
    Listl, L
    Kollensperger, P
    Spriegel, D
    Mengel, P
    Schneider, R
    THIRD IEEE WORKSHOP ON APPLICATIONS OF COMPUTER VISION - WACV '96, PROCEEDINGS, 1996, : 116 - 122
  • [43] An Automated Optical Inspection System for PIP Solder Joint Classification Using Convolutional Neural Networks
    Schmidt, K.
    Rauchensteiner, D.
    Voigt, C.
    Thielen, N.
    Boenig, J.
    Beitinger, G.
    Franke, J.
    IEEE 71ST ELECTRONIC COMPONENTS AND TECHNOLOGY CONFERENCE (ECTC 2021), 2021, : 2205 - 2210
  • [44] Super high quality laser-ultrasound signals for aircraft component inspection
    Dubois, M
    Drake, TE
    JOURNAL DE PHYSIQUE IV, 2005, 125 : 315 - 320
  • [45] High Frequency Induction Focused Soldering Method and Solder Joint Quality Control
    Cui, Peng
    Zhu, Wenbo
    Li, Mingyu
    Hang, Chunjin
    Tan, Zhengdong
    Zhao, Jianlan
    2022 23RD INTERNATIONAL CONFERENCE ON ELECTRONIC PACKAGING TECHNOLOGY, ICEPT, 2022,
  • [46] High Frequency Induction Focused Soldering Method and Solder Joint Quality Control
    Cui, Peng
    Zhu, Wenbo
    Li, Mingyu
    Hang, Chunjin
    Tan, Zhengdong
    Zhao, Jianlan
    2022 23rd International Conference on Electronic Packaging Technology, ICEPT 2022, 2022,
  • [47] Inspection of an Ultrasonography Device by Using Ultrasound Phantom : An Example of Operator Proficiency Test
    Cetin, Emel
    Durmus, Huseyin Okan
    Karaboce, Baki
    2018 MEDICAL TECHNOLOGIES NATIONAL CONGRESS (TIPTEKNO), 2018,
  • [48] Laser based ultrasound using different wavelengths for the inspection of composite materials
    Stratoudaki, T
    Edwards, C
    Dixon, S
    Palmer, SB
    REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 21A & B, 2002, 615 : 316 - 323
  • [49] Solder Joint Recognition Using Mask R-CNN Method
    Wu, Hao
    Gao, Wenbin
    Xu, Xiangrong
    IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY, 2020, 10 (03): : 525 - 530
  • [50] Inspection of rocket engine components using laser-based ultrasound
    McKie, ADW
    Addison, RC
    NONDESTRUCTIVE CHARACTERIZATION OF MATERIALS VIII, 1998, : 111 - 116