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Chapter 16
Automatic Optical Inspection of Soldering
Mihály Janóczki, Ákos Becker, László Jakab,
Richárd Gróf and Tibor Takács
Additional information is available at the end of the chapter
http://dx.doi.org/10.5772/51699
1. Introduction
Automatic Optical Inspection (AOI) or Automated Visual Inspection (AVI) is a control process.
It evaluates the quality of manufactured products with the help of visual information. Amongst
its several uses, one is the inspection of PWB (Printed Wiring Boards) after their assembling
sequences i.e. paste printing, component placement and soldering. Nowadays, surface mount
technology is the main method of assembly. It can be automated with ease. The increasing
widespread use of SMT (Surface Mount Technology) in PWB assembly results in down-scaling
of component size, increasing of lead count and component density. Parallel to this the latest
manufacturing assembly lines have a very high rate of productivity. Not only is productivity
required but a high quality also is expected. The quality requirements for electronic devices
have already been standardized, e.g. IPC, ANSI-JSTD standards. Modern machines used in
manufacturing lines such as paste printers, component placement machines etc. are capable
of producing significantly better results than those required in normal standards specifica‐
tions. Nowadays, the capability of modern manufacturing machines now reaches 6 σ as usually
applied specification norm and 5 σ for more stringent ones. Even so, manufacturing processes
are still kept under constant supervision. There still occasions when even a modern assembly
line fails to create fully operational devices.
Besides the “classic” electric tests, such as in-circuit-test (ICT) and/or functional tests, there are
in-line inspection possibilities: automatic optical inspection and automatic X-ray inspection
systems. Because of their capabilities and properties, mostly the AOI systems are used as in-
line quality inspection appliances. The main advantage of these systems is their ability to detect
failures earlier and not only when the product has been assembled. AOI systems can be used
to inspect the quality at each stage of the manufacturing process of the electronic device.
Accordingly, there are real financial advantages by using such systems because the sooner a
© 2013 Janóczki et al.; licensee InTech. This is an open access article distributed under the terms of the
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Résumé du contenu

Page 1 - 1. Introduction

Chapter 16Automatic Optical Inspection of SolderingMihály Janóczki, Ákos Becker, László Jakab,Richárd Gróf and Tibor TakácsAdditional information is a

Page 2 - 2. Rise of the AOI systems

In consequence, this is the most important part of the AOI inspection process. Most scientificpapers are preoccupied with this subject [95]-[123]. The

Page 3 - 4. Identifying PWB

Figure 6. Reflection pattern on meniscus model with RGB ring illuminationUsing reflection patterns is the basis of all papers that have been published

Page 4 - 5. Inspection of bare PWBs

Manufacturer TRI InnovationModelTR7530 S3016 S3054QCField of view (orthogonal camera) [pixel]1024 x 768 2752 x 2048 @ 55 x 43 mm 672 x 512Pixel size (

Page 5

SPI API PSI API PSIpre r ef low pre wave post wavecomponent in past e component in adhesivemissing past ewhet her it is not covered by component

Page 6

ManufacturerModelCamera movementBoard movementComponent inspectionPrinting/paste inspectionDistinction principlesDistinction parametersCamera typeCame

Page 7 - Table 2

ManufacturerModelMinimum inspection component sizePosition accuracyBoard clearance top [mm]Board clearance bottom [mm]Board size max. [mm x mm]Board s

Page 8

ManufacturerModelPre-reflow inspectionPost-reflow inspectionCamera typeOrthogonal camera field of view [mm]Orthogonal camera resolution [µm]Number of

Page 9 - 6.3 Post soldering inspection

ManufacturerModelInspection capacity typicalBoard size max. [mm x mm]Board size min. [mm x mm]Board warp [mm]Board clearance top [mm]Board clearance b

Page 10

then the appropriate parts would seem to be defective. These are the pseudo-failures whichcan reduce productivity so their number should as clos

Page 11

lead-based solder alloys – which are much more even and mirror-like – they reflect lightdifferently, so different procedures may be used to veri

Page 12

failure can be detected, the smaller the likelihood of refuse device manufacturing. Because ofcomponent down-scaling and increasing in density, optica

Page 13

achieved, when it cools and solidifies. As a result of this, the microstructure that is created hasa greater surface roughness than in the previous ca

Page 14 - Table 7

Figure 10. SEM image of the surface of a lead-based solder meniscusFigure 9. Electron microscope image of the surface of a tin-lead solder meniscusAut

Page 15

An important question is precisely what the roughness of the pattern formed on the surfaceof lead-free solder alloys depends on, and how “reli

Page 16 - Table 9

Figure 12. SEM image of a cross-section of a lead-based solder meniscusFigure 13. SEM image of a cross-section of a lead-based solder meniscusAutomati

Page 17

alloys is even more visible. In the following SEM images the rough surface typical of lead-freesolder alloys can be observed.Figure 14. SEM image of a

Page 18

Type of measurement result Lead-based solder paste Lead-free solder pasteMeasured surface roughness (RMS) 0.03092 0.0986Distribution of measured RMS v

Page 19

Evolver software uses finite element analysis to calculate the surface profile at certain pointson the surface. In areas with a greater radius of curv

Page 20

results in a darker image and in the case of observation along the z axis (from above), as istypical of microscopes, only the surfaces that are parall

Page 21

Figure 19. Photograph and graphic representation of SMT joint made with lead-free solder Figure 20. Photograph and graphic representation of empty so

Page 22

Figure 21. Photograph and graphic representation of empty solder pad covered in lead-based solder (DF imaging) Figure 22. Photographs (above: BF, bel

Page 23

inspections, parametric test procedures can be used to evaluate the digital image and on thebasis of this they classify the inspected PWB, component o

Page 24

Figure 23. Photograph and graphic representation of SMT joint made with lead-free (left) and lead-based (right) sol‐der8. Detailed analysis of AOI sy

Page 25

In case of larger inspection areas, the systems are mounted with special drives which can movethe camera system or the inspected part. The movements o

Page 26

Ring illumination around 4 cameras Grey-level distribution of 1 section Ring illumination around 1 camera Grey-level distribution of 1 camera 23

Page 27

processes can only be used to a limited degree because of the high-complex manufacturingprocess and the equally complex and highly varied appearance o

Page 28

In addition, AOI engineers need to cope with several other difficulties a major one of which isthat the production process changes continuously e.g. t

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can be significantly improved with the help of macro optimization. In the first task, the pseudorate was reduced while slip-throughs remains zero (Tab

Page 30

Secondly parallel pseudo and slip-through reduction were carried out (Table IX, Fig. 11, Fig.12).Real failures (Quasi-tombstone) [pieces]Pseudo fai

Page 31

Figure 28. Pseudo and slip-through reductionAutomatic Optical Inspection of Solderinghttp://dx.doi.org/10.5772/51699423

Page 32 - 9. Software questions

If we suppose that the optimal size of image base is determined (and which cannot be exceeded)and relevant images are collected resulting in a reasona

Page 33

Certainly the automatic optimization methods also need to collect the relevant imagesautonomously to create the reference image base.

Page 34

5. Inspection of bare PWBsThere are several possibilities, appliances and algorithms when inspecting bare PWBsoptically. These are able t

Page 35 - Figure 27. Pseudo reduction

The same is true for inspecting component presence, but for solder-joint detection thesetechnologies are in their infancy at present. The

Page 36

meniscus. The meniscus forms from the liquid alloy during the soldering process. Aftercooling, the meniscus becomes solid and reflects ill

Page 37

[3] Sheng-Lin Lu, Xian-Min Zhang, Yong-Cong Kuang, Optimized Design of an AOI Il‐luminator, Proceedings of the 2007 International Conference on

Page 38 - Figure 29. Quasi-tombstone

[19] Keith Fairchild, Evaluating ROI of AXI vs. AOI, Circuits Assembly, October 2006, pp.20-25[20] “Realising Expectations of AOI http://www.dataw

Page 39 - 10. 3D Inspection

[33] Stuart A. Taylor, CCD and CMOS Imaging Array Technologies: Technology Review,Technical Report EPC-1998-106, Xerox Research Centre Europe h

Page 40 - 12. Conclusion

[46] Ji-joong Hong, Kyung-ja Park, Kyung-gu Kim, Parallel Processing Machine VisionSystem for Bare PCB Inspection, IEEE, 1998, pp. 1346-1350[

Page 41 - References

[61] S. C. Richard, The Complete Solder Paste Printing Processes, Surface Mount Technol‐ogy, Vol. 13, 1999, pp. 6-8[62] Peter Krippner, Detlef Beer, A

Page 42

Neural Network, IEEE International Conference on Systems, Man and Cybernetics,Vol. 3, 2004, pp. 3051-3056[76] Feng Zhang, AEWMA Control Chart for

Page 43

IEEE International Symposium on Intelligent Control Part of IEEE Multi-conferenceon Systems and Control Singapore, 1-3 October 2007, pp. 375-378[93] B

Page 44

[106] Fan-Hui Kong, A New Method for Locating Solder Joint Based On Rough Set, Pro‐ceedings of the Sixth International Conference on Machine Learning

Page 45

6. Inspections following SMT sequencesIn the SMT assembling process there are three main phases where AOI plays an importantrole; after-paste printing

Page 46

[118] Andy Yates, Steven Brown, Jim Hauss, Paul Hudec, Inspection Strategies for 0201Components, CyberOptics Corporation 2002, First Publ

Page 47

[131] D.W. Capson, S.K. Eng, A Tiered-Color Illumination Approach for Machine Inspec‐tion of Solder Joints, IEEE Transactions on Pattern Analysis and

Page 48

[147] Agilent Medalist SJ50 Series 3, Automated Optical Inspection (AOI) and Measure‐ment, Data Sheet, Printed in the USA September, 2006, Upd

Page 49

[165] Egidijus Paliulis, Raimondas Zemblys, Gintautas Daunys, Image Analysis Problemsin AOI Systems, Information Technology and Control, Vol.

Page 50

[180] Dr. Kwangli Koh (Koh-Young), Eliminating False Calls With 3D AOI Technology,EPP Europe, Issue 4, 2009, pp. 40-43[181] Wei-Hung Su, K

Page 51

[193] Akira Kusano, Takashi Watanabe, Takuma Funahashi, Takayuki Fujiwara, HiroyasuKoshimizu, 3D Inspection of Electronic Devices by Means of Stereo M

Page 53

6.1. Solder paste inspectionAccording to PWB assemblers, it is very important that the quality of the print solder paste isinspected because it heavil

Page 54

ManufacturerModelBoard size max. [mm x mm]Board size min. [mm x mm]Maximum board weight [kg]Maximum inspection area [mm]Maximum pad size in field of v

Page 55

ManufacturerModelConveyor speed [mm/sec]Conveyor height [mm]Board warpVolume repeatability on a certification targetVolume repeatability on a circuit

Page 56

6.2 Automatic placement inspectionInspection of the PWB after component placement is the next possibility. With this methodpossible placement failures

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