Application
News
No. N130
First Edition: May 2018
For Research Use Only. Not for use in diagnostic procedures.
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Fig. 5 Fluoroscopic Image of a BGA (C)
Fig. 6 Cross-Sectional Images of a BGA (C)
Fig. 7 Measurement of BGA (C) Voids
Fig. 6 shows images of the same section as Fig. 5 acquired by CT
imaging at low and high magnifications. Layer 1 and Layer 2 are
images of the data of two different layers obtained from the
same imaging data. Layer 1 can be used to ensure that there is
no disconnection in the electronic circuit pattern and that the
solder bumps are properly bonded. Layer 2 can be used to
check the void distribution at an arbitrary height. Various data
can be obtained from a single observation point by changing
the size of the field of view for image acquisition or by
extracting the data of different layers.
Fig. 7 presents the results of the void ratio calculation obtained
from the cross-sectional images in Fig. 6 using the BGA
measurement function. With this inspection system,
measurements can be performed easily without the need for
complex parameter settings. Furthermore, defective sections
can be identified at a glance by setting arbitrary pass/fail criteria.
(Sections that pass (OK) are shown in green and sections that
fail (NG) are shown in red.) In addition to pass/fail evaluations
based on void ratios as presented in Fig. 7, evaluations can also
be based on bump diameters or bump roundness.
Fig. 8 Fluoroscopic Image, Cross-Sectional Images,
and 3D Image of a BGA (D)
Fig. 9 Defect Analysis of a BGA (C)
Fig. 8 shows a fluoroscopic image and cross-sectional images of
a BGA (D in Fig. 2) and a three-dimensional (3D) image of the
same BGA generated from the CT imaging data. It is extremely
difficult to grasp the structure of this BGA by fluoroscopic
observation because it consists of multiple layers and resistors
are arranged above and below the layers. In such cases, cross-
sectional images and 3D images generated from the CT
imaging data are useful.
Fig. 9 is an image of a defect analysis obtained using a 3D image
processing software based on the CT imaging data of a BGA (C).
The results are visualized by displaying only the voids in color
and making the solder bumps semi-transparent.
The analysis result data such as the volume, diameter, and
position of the voids can be converted into graphs or tables as
a CSV file.
Conclusion
Xslicer SMX-6000 can be used for a wide range of observations
and analyses in accordance with the inspection purpose and
the samples to be observed. Since the observations and
analyses introduced in this article can be performed easily and
immediately by anyone, the Xslicer SMX-6000 is an extremely
useful tool for the inspections of electric/electronic devices
whose structures are becoming increasingly complex.
C
Enlarged
Enlarged
Layer 1
Layer 2
Cross-sectional image
BGA Measurement
Result
Total BGA : 225
OK (Green) : 138
NG (Red) : 87
NG Judgement
Criteria
Total Void Ratio :
50.0 %
Max Void Ratio :
40.0 %
Void measurement
D
3D image
Cross-sectional image Cross-sectional image
Defect analysis