BSI PD IEC TR 61191-7:2020
$215.11
Printed board assemblies – Technical cleanliness of components and printed board assemblies
Published By | Publication Date | Number of Pages |
BSI | 2020 | 118 |
This part of IEC 61191 serves as a Technical Report and provides information, how technical cleanliness can be assessed within the electronics assembly industry. Technical cleanliness concerns sources, analysis, reduction and control as well as associated risks of particulate matter, so-called foreign-object debris, on components and electronic assemblies in the electronics industry.
PDF Catalog
PDF Pages | PDF Title |
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2 | undefined |
4 | CONTENTS |
10 | FOREWORD |
12 | INTRODUCTION |
13 | 1 Scope 2 Normative references 3 Terms and definitions 4 Technical cleanliness 4.1 What is technical cleanliness? |
14 | 4.2 History โ standardisation of technical cleanliness 4.3 Technical cleanliness in the electronics industry 4.4 Potential particle-related malfunctions |
15 | 5 Technical cleanliness as a challenge for the supply chain 5.1 General |
16 | 5.2 Contamination 5.2.1 Definition of particles 5.2.2 Definition of fibres |
17 | 5.3 Test procedure to determine technical cleanliness 5.3.1 Fundamentals |
18 | 5.3.2 Clarification form Figures Figure 1 โ Test method as per VDA 19 Part 1 |
20 | 5.3.3 System technology Figure 2 โ Examples of extraction systems |
21 | 5.3.4 Process parameters for pressure rinsing extraction 5.3.5 Pressure rinsing process |
22 | 5.3.6 Preparing membrane filters for measurement analysis Figure 3 โ Component holder during manual pressure rinsing |
23 | Figure 4 โ Examples of different options for drying membrane filters Figure 5 โ Slide frame with membrane filter |
24 | 5.4 Measurement analysis 5.5 Evaluating the results of cleanliness analyses 5.5.1 Overview |
25 | 5.5.2 Particle count relative to component surface |
26 | 5.5.3 Procedure for violation of action control limits Figure 6 โ Example procedure if specifications are exceeded Tables Table 1 โ Influence of the blank value on the measurement results for different material surfaces (examples for a blank value fraction of 2,2 % and above) |
27 | 5.6 Extended risk assessment 5.6.1 General 5.6.2 Example |
28 | Figure 7 โ Particle size distribution and corresponding process capability |
29 | 5.7 Component cleanliness โ Data management and visualization 5.7.1 Component cleanliness analysis โ flow diagram Figure 8 โ Flow diagram for component cleanliness analysis Figure 9 โ Scope of analytical report |
30 | 5.7.2 Explanation of SCI (Surface Cleanliness Index) Figure 10 โ Derivation of Illig value |
31 | Figure 11 โ Derivation of SCI |
32 | Figure 12 โ Evaluation of 7-pin HV strip connector Figure 13 โ Graph showing cleaning effect based on SCIs |
33 | 5.7.3 Creating a database Figure 14 โ Comparison of the three largest particles |
34 | Figure 15 โ Structural levels of a database Figure 16 โ Option A โ Evaluation of the largest particles by length and width |
35 | Figure 17 โ Option B โ Extension to include the degree of contamination โ SCI Figure 18 โ Option C โ Extension to include a separate data sheet “direct comparison of test series” |
36 | 5.7.4 Summary Figure 19 โ Option D โ Extension of the database “to include’comparison with customer standards'” |
37 | 6 State of the art โ Technical cleanliness in the electronics industry 6.1 Process flow (per cluster) 6.1.1 General 6.1.2 Electronics manufacturing cluster Table 2 โ Electronics manufacturing cluster process flow |
38 | 6.1.3 Passive components cluster (e.g. for inductors and aluminium electrolytic capacitors) Table 3 โ Process flow for inductors |
39 | 6.1.4 Electromechanical components cluster Table 4 โ Aluminium electrolytic capacitors |
40 | Table 5 โ Stamped contact production/plastic production (housing) process flow Table 6 โ Housing assembly process flow |
41 | 6.1.5 PCB cluster 6.2 Technical cleanliness in the electronics industry โ current situation 6.2.1 General Table 7 โ PCB cluster process flow |
42 | 6.2.2 Electronics manufacturing Table 8 โ Empirical data from electronics manufacturing cluster |
43 | 6.2.3 Electronic components Table 9 โ Empirical data from inductors Table 10 โ Empirical data from aluminium electrolytic capacitors |
44 | Table 11 โ Empirical data from tantalum capacitors Table 12 โ Empirical data from chip components |
45 | Table 13 โ Empirical data from shunts Table 14 โ Empirical data from quartz |
46 | 6.2.4 Electromechanical components Table 15 โ Empirical data from semiconductors Table 16 โ Empirical data from metallic components โstamping from pre-treated strip stock |
47 | Table 17 โ Empirical data from metallic components โ stamping of contact from untreated strip stock and subsequent electroplating process Table 18 โ Empirical data from metallic components โ turning of pins andsubsequent electroplating process |
48 | Table 19 โ Empirical data from pure plastic parts Table 20 โ Empirical data from joined strip connectors |
49 | Table 21 โ Empirical data from high-voltage connectors (typically shielded) Table 22 โ Empirical data from the assembly process of non-metallic components |
50 | 6.2.5 Metal housings Table 23 โ Empirical data from die-cast aluminium housing |
51 | 6.2.6 Packaging 6.2.7 Printed circuit boards (PCBs) Figure 20 โ Flexible circuit board Table 24 โ Empirical data from deep-drawn trays (new) |
52 | Figure 21 โ Rigid circuit board Table 25 โ Empirical data from flexible PCBs without cleaning step |
53 | Table 26 โ Empirical data from bare, flexible PCBs with cleaning step Table 27 โ Empirical data from bare, rigid PCBs |
54 | 6.3 Determining potential particle sources in production areas 6.3.1 General 6.3.2 Particle generation 6.3.3 Electronics manufacturing cluster |
55 | 6.3.4 Passive components cluster |
56 | Figure 22 โ Burr formation on copper wire (D = 2,25 mm) after use of wire-cutter Figure 23 โ Particles generated by wire cutting D = 1,8 mm (tinned copper) |
57 | Figure 24 โ Particles generated by wire cutting D = 1,8 mm (tinned copper) Figure 25 โ Particle (tin) adhering to a tinned copper wire D = 2,25 mm |
58 | Figure 26 โ Hair-like particle (tin whiskers) chipped off a tinned wire (655 ยตm long) Figure 27 โ Milled enamel wires |
59 | Figure 28 โ Molten solder balls fused to plastic housings |
60 | Figure 29 โ Ferrite particle, identified as metallic (419 ยตm) Figure 30 โ Ferrite particle, identified as non-metallic (558 ยตm) |
61 | 6.3.5 Electromechanical components cluster Figure 31 โ Non-metallic particle, probably burr or plastic residue (217 ยตm) Figure 32 โ Non-metallic particle, probably pink polystyrene packaging material |
62 | Figure 33 โ Shielding plate |
63 | Figure 34 โ Stamped contacts Figure 35 โ Connector pin |
64 | Figure 36 โ Connector housing Figure 37 โ 58-pin connector housing |
65 | 6.3.6 PCB cluster Figure 38 โ 12-pin connector with bridged contacts |
66 | Figure 39 โ Plastic particles + fibres Figure 40 โ Plastic particles Figure 41 โ Metallic particle |
67 | Figure 42 โ Milling crosses V-scoring line |
68 | Figure 43 โ V-scoring line on milling edge Figure 44 โ Chip formation in milled hole |
69 | Figure 45 โ Edge plating Figure 46 โ Connections for electroplated gold areas |
70 | Figure 47 โ Deep milling Figure 48 โ Chip formation caused by stamping |
71 | Figure 49 โ Flexible circuit board with undercut Figure 50 โ Punching burr in hole |
72 | Figure 51 โ Punching burr Figure 52 โ Damaged metallic stiffener |
73 | Figure 53 โ Stamping residue along stamped edge Figure 54 โ Stamping residue loosened by pickling bath |
74 | 6.4 Cleanliness-controlled design and process selection 6.4.1 Aspects of cleanliness-controlled design/production with regard to metallic particles Figure 55 โ Plastic element with burr Figure 56 โ Particles on externally supplied plastic elements |
76 | 6.4.2 Environmental cleanliness and internal production processes |
77 | Figure 57 โ Process chain analysis as per VDA 19 Part 2 |
78 | 6.5 Environmental cleanliness analysis and visualisation 6.5.1 General 6.5.2 Procedure for environmental analysis Figure 58 โ Cleanroom production |
79 | Figure 59 โ Example particle trap Figure 60 โ Position of particle trap |
80 | Figure 61 โ Database โ Visualisation Figure 62 โ Illustration of the Illig value with max. three particles |
81 | Figure 63 โ Airborne dispersion diagram Figure 64 โ Analysis results in the cleanroom |
82 | 6.5.3 Conclusions: Figure 65 โ Analysis results in the area not governed by VDA 19 Figure 66 โ Weighting of factors influencing technical cleanliness |
83 | 6.6 Cleaning tips 6.6.1 General 6.6.2 Washing 6.6.3 Brushing |
84 | 6.6.4 Suction-cleaning Figure 67 โ Manual cleaning with brush and illuminated magnifier Figure 68 โ ESD brush |
85 | 6.6.5 Blowing 6.6.6 Reducing carry-over and controlling cleanliness in workplace design Figure 69 โ Workstations designed for cleanliness control |
86 | 6.6.7 Adhesive methods 6.7 Packaging and logistics requirements 7 Why do metallic particles in assemblies so rarely cause short circuits? 7.1 General Figure 70 โ Adhesive roller system for PCB contact cleaning |
87 | 7.2 Probability of contact 7.2.1 Introduction and theory Figure 71 โ Diagram showing failure risks based on metallic particles on assemblies |
88 | Figure 72 โ Sketch of electrical arrangement (particle forming “bridge” between two conductors) |
89 | Figure 73 โ Diagram showing contact point of a particle on a conductor โnickel-gold conductor and copper particle |
90 | 7.2.2 Testing the probability of contact Table 28 โ List of materials used in the test |
91 | Figure 74 โ SIR test circuit boards (interleaving comb pattern layout) Figure 75 โ Voltage source that measures current with an analogue picoamperemeter |
92 | 7.2.3 Results Figure 76 โ Automated current measurement with software |
93 | Figure 77 โ Comparison of CU particles in three conditions on SAC305 PCBs Figure 78 โ Overview of all metals in the voltage classes, rounded |
94 | 7.3 Rinsing extraction versus actual mobility 7.4 Particle sinks |
95 | 7.5 Effect of short circuits on ICs 7.6 Tool for estimating the risk of short circuit 7.6.1 Overview |
96 | 7.6.2 Model hypotheses Figure 79 โ Functional structure of risk assessment tool |
97 | 7.6.3 Calculation methods 7.6.4 Orientation factor |
98 | 7.6.5 Critical area Figure 80 โ Geometric constraints at a contact pair |
99 | 7.6.6 Number of particles per size class Figure 81 โ Clearance areas up to 400 ยตm (in white) Figure 82 โ Clearance areas up to 600 ยตm (in white) Figure 83 โ Clearance areas up to 1000 ยตm (in white) |
100 | 7.6.7 Weighting factors |
101 | 7.7 Example use of the risk assessment tool 7.7.1 Example use of the risk assessment tool for calculating failure rate Figure 84 โ Example calculation 1 โ Calculating an absolute probability of failure |
102 | 7.7.2 Example use of the risk assessment tool for design changes Figure 85 โ Example calculation 2 โ Calculating probabilities of failurefor layout changes e.g. for a new generation component |
103 | 7.7.3 Example use of the risk assessment tool for specification violations Figure 86 โ Example calculation 3 โ Optimising the main variables Figure 87 โ Example calculation 3 โ Calculating the changed probabilityof failure in the event of specification violation |
104 | 8 Summary 9 Outlook |
105 | 10 Related topics 10.1 Filmic contamination 10.1.1 General 10.1.2 Biological films 10.1.3 Chemical films 10.2 Whiskers |
106 | Figure 88 โ Whiskers growth of > 8 mm over a period of 10 years |
107 | Figure 89 โ Whiskers growth of > 2 mm over a period of 6 months |
108 | Annex A (informative)Determining the surface area of componentsand assembled circuit boards Figure A.1 โ Dimensions of cuboid components |
109 | Figure A.2 โ Dimensions of cylindrical components |
110 | Table A.1 โ Sample values of standard components to determinethe component surface area |
111 | Annex B (informative)Examples of cleanliness clarification forms Figure B.1 โ Ambient cleanliness clarification form |
112 | Figure B.2 โ Ambient cleanliness clarification form |
113 | Figure B.3 โ Component cleanliness clarification form |
114 | Figure B.4 โ Component cleanliness clarification form |
115 | Figure B.5 โ Component cleanliness clarification form |
116 | Bibliography |