University of Maryland
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Counterfeit Mitigation
Center for Advanced Life Cycle Engineering (CALCE)
University of Maryland, College Park, MD, USA
(www.calce.umd.edu)
Parts Standardization & Management Committee (PSMC)
25 - 27 April 2017, LMI – Tysons, VA
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Center for Advanced Life Cycle Engineering
CALCE Overview
The Center for Advanced Life Cycle Engineering (CALCE) at the University
of Maryland, College Park formally started as an NSF Center of Excellence
in electronics systems reliability (1984).
One of the world’s most advanced and comprehensive testing and
failure analysis laboratories.
Funded by over 150 of the world’s leading companies.
Supported by about 100 faculty, visiting scientists, research assistants and
interns.
Received NSF innovation award in 2009 and IEEE standards education
award in 2013.
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Center for Advanced Life Cycle Engineering
What is a Counterfeit Electronic Part?
A counterfeit electronic part is one whose identity has
been deliberately misrepresented.
Identity of an electronic part includes:
Manufacturer,
Part number,
Date and lot code,
Reliability level,
Inspection/Testing,
Documentation.
(2011): Screening for counterfeit electronic parts, Journal of Materials Science, Materials in Electronics 22:1511-1522
“Semiconductor Manufacturers’ Efforts to Improve Trust in the Electronic Part Supply Chain”,
IEEE Transactions on Components and Packaging Technology, Vol. 30, No. 3, pp. 547 – 549, September 2007.
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Center for Advanced Life Cycle Engineering
Possible Sources of Parts Used to Create
Counterfeits
Part
Manufacturers
Authorized
Distributors
OEMs/CMs
Package Assembly
and Testing
Companies
Recyclers
Scrap parts
CMs
Reclaimed parts from
discarded electronics
Unauthorized
parts
Sold “As Is”
Creation of Counterfeits
Recycled OverproducedRemarked
Out-of-
spec/Defective
Cloned
Forged
Documentation
Tampered
Test
Laboratories
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G-19 & G-21 Counterfeit Avoidance,
Detection, Mitigation & Disposition
Committee Update
1. OEMS/Users of
Electronics,
Electric,
Electromechanic
al (EEE): AS5553
2. OEMS/Users of
Materiel (other than
EEE): AS6174
3. Independent
Distributors/Brokers of
Electronics: AS6081
4. Authorized
Distribution of
Electronics: AS6496
5. Test Laboratories
of EEE: AS6171
G-19 & G-21 Counterfeit Prevention & Detection
Standards
ARP 6328 and AIR 6273
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Summary of SAE G-19 Aerospace Standards
Standard Title
SAE AS5553 Rev B Counterfeit Electrical, Electronic, and Electromechanical (EEE)
Parts; Avoidance, Detection, Mitigation, and Disposition
Published 9/2016
ARP6328 Guideline for Development of Counterfeit Electronic Parts;
Avoidance, Detection, Mitigation, and Disposition Systems
Published 9/2016
SAE AS6462 AS5553 Verification Criteria Under revision
SAE AS6171 Test Methods Standard; General Requirements,
Suspect/Counterfeit, Electrical, Electronic, and Electromechanical
Parts – Published 10/2016
SAE AS6081 Counterfeit Electronic Parts Avoidance Distributors Preparing
release of revision and in discussion on the test methods
SAE ARP6178 Fraudulent/Counterfeit Electronic Parts; Tool for Risk Assessment
of Distributors
SAE AIR6273 AIR6273 - Terms, Definitions, and Acronyms - Counterfeit Materiel
or Electrical, Electronic and Electromechanical Parts under ballot
SAE AS6496 Fraudulent/Counterfeit Electronic Parts: Avoidance, Detection,
Mitigation, and Disposition - Authorized/Franchised Distribution
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Test Methods Covered in the 6171 Slash Sheets
AS6171/2: External Visual Inspection (EVI) (incl. remarking, resurfacing,
weight, dimensions, SEM)
AS6171/3: X-Ray Fluorescence (XRF) (incl. lead finish, thickness)
AS6171/4: Delid/Decapsulation Physical Analysis (DDPA)
AS6171/5: Radiological Inspection (RI): X-ray imaging
AS6171/6: Acoustic Microscopy (AM): external and internal
AS6171/7: Electrical Test: Curve Trace, Full DC, Key Electrical
Parameters for AC, Switching, and Functional Tests; ambient or over
temperature (incl. environmental, burn-in, seal)
AS6171/8: Raman Spectroscopy: materials identification
AS6171/9: Fourier Transform Infrared Spectroscopy (FTIR): materials
identification
AS6171/10: Thermogravimetric Analysis (TGA): material analysis
AS6171/11: Design Recovery (DR): device layout and function
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AS6171 – Future Test Methods
Description Status
Acoustic Microscopy (AM) Test Method for Capacitors Dec 2016: initial
ballot
Secondary Ion Mass Spectroscopy (SIMS) Test Method April 2017: initial
ballot
Radiated Electromagnetic Emission (REME) Test Methods In development
Packaging Test Methods In development
Netlist Assurance Test Methods In development
Laser Scanning Microscopy (LSM) Test Methods In development
Thermomechanical Analysis (TMA) Test Methods In development
Assembly Test Methods Workgroup in
formation
Scanning Electron Microscopy (SEM) Test Methods Workgroup in
formation
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Each Test Method Includes:
Processes and a description of procedures
Apparatus needed for the test technique
Required qualification and certification of
processes and personnel
Guidelines and requirements for reporting
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AS6171 Risk Level Assessment
Evaluating risk and
recommended tier level
of testing based on:
Recommended
Risk Tier
R
C
=Risk of
Component
(Part)
R
S
=Risk of
Supplier
R
P
=Risk of
Product
(Application)
Other
Identified
Risks
(R
A
=Adjusted
Risk Score)
Risk of the receiving a
counterfeit part from the
supplier,
Risk of the part and risk of
application to assess
potential negative
consequences of a
counterfeit electronic part
being installed,
Other offsetting risk factors.
Risk Tier Level Target Confidence (TC)
Critical 0.90
High 0.8
Moderate 0.65
Low 0.5
Very Low 0.35
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Example: Product Risk Assignment
Product Risk Factor – R
P
Quantifies the risk of the product in which the part will be used
(adapted from MIL-STD-1629A, section 4.4.3)
Category Description Value
1 – Catastrophic A failure of the product may cause death or a major system loss
(e.g., aircraft, tank, missile, ship, etc.). Alternatively, product
exposure on the market could result in severe monetary impact
due to product recall or warranty claims.
70
2 – Critical A failure of the product may cause severe injury, major property
damage, or major system damage which will result in loss of the
product’s function. Alternatively, product exposure on the
market could result in high monetary impact due to product
recall or warranty claims.
50
3 – Marginal A failure of the product may cause minor injury, minor property
damage, or minor system damage which will result in delay or
loss of availability or degraded operation.
30
4 – Minor A failure of the product is not serious enough to cause injury,
property damage, or system damage, but may result in
unscheduled maintenance or repair.
10
11
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Risk Assessment Model
R
A
= R
P
+ R
C
+ R
S
+ A
P
+ A
C
+ A
S
+ A
G
A
i
= Adjustment Factors
A
P
: based on product level testing, and like/unlike redundancy
A
C
: based on testability/complexity of part
A
S
: based on risk associated with supplier
A
G
: based on additional factors including part availability, problem
reports, and data from Online Aerospace Supplier Information System
(OASIS)
Risk Tier Level Score Range Risk Category
0 0-70 Very Low
1 71-110 Low
2 111-150 Moderate
3 151-170 High
4 >170 Critical
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Test Sequence Determination
The test sequence should be determined based on the risk tier level
of the part.
AS6171/1 provides the means to calculate the Counterfeit Defect
Coverage (CDC) and Counterfeit Type Coverage (CTC) for any
test sequence.
This quantifies the effectiveness of the specified test sequence for
counterfeit parts detection, and allows it to be assessed against the
risk-based confidence target for detection of each defect.
Risk Tier Level Target Confidence (TC)
Critical 0.90
High 0.8
Moderate 0.65
Low 0.5
Very Low 0.35
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Evaluation of Counterfeit Defect Coverage
(CDC) for a Test Sequence
Step # Name Description
1 Select tier level and target
confidence (TC)
Select the risk tier level for assessment and the
associated target confidence.
2 Select Test Methods Select the desired test methods per the SOW or test
plan.
3 Establish Confidence Level
Matrix
Establishes the confidence level of detecting a each
specific defect by each specific test method
4 Determine resultant testing
confidence for each defect
Calculate total confidence level of detection for each
defect using the entire test plan
5 Identify any defect which is a
Not-Covered Defect (NCD) or
Under-Covered Defect (UCD)
If resultant testing confidence = 0, then the defect is an
NCD
If resultant testing confidence < TC (target confidence)
then the defect is a UCD
6 Calculate CDC Calculate Counterfeit Defect Coverage (CDC) as
average of resultant testing confidence values over all
defects
7 Report results Report CDC, NCDs, and UCDs.
A Web-based CDC Model has been created by CHASE (Center for Hardware Assurance,
Security, and Engineering) at Univ. of Connecticut, to facilitate these calculations.
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Estimation of Test Coverage
Part Type
Tests to Be
Performed
Invalid
Date Code
Sanding/
Grinding
Marks
Missing
Wires
Others
Defect Coverage
Counterfeit Type
Coverage
CDC
Engine
Acceptable
Risk Tier
from G-19A
Risk Model
Target
Confidence
Level
Counterfeit
Defect
Coverage
(CDC)
Defect
Detection
Level
CDC is being run on the
consensus data collected by G19A
Under Covered and Not Covered
Defect Type(s) & Counterfeit
Type Coverage Evaluation
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Counterfeit Detection Test Methods
# Test Method # Test Method
1 EVI, General (Full Lot) 17 AM, PEMS - External, Internal & Material
2 EVI, Detailed (Sample) 18 Electrical, Curve Trace, at ambient temp.
3 EVI, Remarking 19 Electrical, DC Test at ambient temp.
4 EVI, Resurfacing 20 Electrical, Key Parameters at ambient temp.
5 EVI, Part Dimensions 21 Electrical, DC Test and Key Parameters, over temp.
6 EVI, SEM 22 Electrical, Burn-In with Pre- and Post-Testing
7 XRF, Lead Finish Analysis 23 Electrical, Temp. Cycling with Pre- and Post-Testing
8 XRF, Lead Finish Thickness 24 Electrical, Seal (hermetic devices)
9 XRF, Material Composition 25 Raman
10 DDPA, Internal Inspection 26 FTIR
11 DDPA, Bond Pull 27 TGA
12 DDPA, Die Attach 28 Design Recovery, Lev. 1: Simple manual comparison
13 Radiological, 2D 29 Design Recovery, Lev. 2: Layout comp.
14 Radiological, 3D, Incremental 30 Design Recovery, Lev. 3: Selective functional comp.
15 Radiological, 3D, Independent 31 Design Recovery, Lev. 4: Full microcircuit comp.
16 AM, PEMS External only 32 User/Requester
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AS6171 – Examples of Test Sequences by Risk-Tier
Levels – Active Parts, Complex
Steps Physical/Environmental/Electrical Inspections/Tests
4
Critical
Risk
3
High
Risk
2
Moderate
Risk
1
Low
Risk
0
Very Low
Risk
Ex1 Ex1 Ex2 Ex1 EX2 EX1 EX2 EX1 EX2
1 EVI, General (Full Lot)
X X X X X X X X X
2 EVI, Detailed (Sample)
X X X X X X X
3 EVI, Remarking
X X X X X
4 EVI, Resurfacing
X X X X
5 EVI, Part Dimensions
X X X X
6 EVI, SEM
X X X
7 XRF, Lead Finish Analysis
X X X X X X X
8 XRF, Lead Finish Thickness
X X
9 XRF, Material Composition
X X X
10 DDPA, Internal Inspection
X X X X X
11 DDPA, Bond Pull
X X X X
12 DDPA, Die Attach
X X
13 Radiological, 2D
X X X X X X X X X
14 Radiological, 3D, Incremental
X X
15 Radiological, 3D, Independent
16 AM, PEMS External only
X X
17
AM, PEMS - External, Internal & Material (Incremental) X X
18
Electrical, Curve Trace, at ambient temp. X
19
Electrical, DC Test at ambient temp. X X X X X
20
Electrical, Key Parameters (AC, Switching, Functional) at ambient temp. X X X
21
Electrical, DC Test and Key Parameters (AC, Switching, Functional), over temp. X
22
Electrical, Burn-In with Pre- and Post-Electrical Tests X
23
Electrical, Temperature Cycling with Pre- and Post-Electrical Tests X
24
Electrical, Seal (hermetic devices) X
25
Raman X X X
26
FTIR X X X
27
TGA X
28
Design Recovery, Level 1: Simple manual comparison X
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Sample Test Sequences for Low Risk
Active Parts, Complex
Test # Test Method Low Risk
Ex 1 Ex 2
1 EVI, General (Full Lot) X X
2 EVI, Detailed (Sample) X X
3 EVI, Remarking X
4 EVI, Resurfacing X X
7 XRF, Lead Finish Analysis X
13 Radiological, 2D X X
Low Risk Target Confidence: 50%
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Counterfeit Defect Coverage for
Low Risk Examples
Sample
Test # Test Method CDC %
Ex 1 Ex 2
1 EVI, General (Full Lot) 17.6 X
2 EVI, Detailed (Sample) 41.34 X
3 EVI, Remarking 41.96
4 EVI, Resurfacing 42.51 42.27
7 XRF, Lead Finish Analysis 44.11
13 Radiological, 2D 54.32 52.61
Overall CDC 54.32 52.61
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Not-Covered Defects: Low Risk Examples
Examples 1 and 2
Bond Pull Strength
Misaligned or Missing Contact Windows
Passivation Damage
Dielectric Impurities
Interconnect Contamination
Semiconductor Impurities
Out of Specification-DC Parameters
Out of Specification-AC Parameters
Out of Specification-Functional Parameters
Out of Specification-Switching Parameters
Out of Specification-Curve Trace Parameters
Programming State
Incorrect Temperature Profile
Intermittency
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Under-Covered Defects: Low Risk Examples
Example 1 Example 2
Missing or Non-
functional Condition Indicator
(37.5)
Missing or Non-
functional Condition Indicator
(37.5)
Missing or Non-functional Part Protector
(15.0)
Missing or Non-functional Part Protector
(15.0)
Incorrect Part Dimensions (29.6) Incorrect Part Dimensions (29.6)
Incorrect Part Weight (37.5) Incorrect Part Weight (37.5)
Wrong Materials on Part Terminations (4.9)
Interconnect Re-Attachment (46.9)
Modified Surface Texture (39.1) Modified Surface Texture (39.1)
Defective Wire Bonds (15.0) Defective Wire Bonds (15.0)
Die Surface Contamination (2.5) Die Surface Contamination (2.5)
Wrong Die (37.5) Wrong Die (37.5)
Delamination (4.9) Delamination (4.9)
Improper Die Markings (2.5) Improper Die Markings (2.5)
Internal Damage (15.0) Internal Damage (15.0)
Die Surface Corrosion (2.5) Die Surface Corrosion (2.5)
Degradation of Die Metallization (2.5) Degradation of Die Metallization (2.5)
Contaminated Internal Cavity (15.0) Contaminated Internal Cavity (15.0)
Not Hermetic (2.5) Not Hermetic (2.5)
Improper Material (Internal) (37.5) Improper Material (Internal) (37.5)
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Counterfeit Type Coverage:
Low Risk Examples
Example 1 Example 2
Counterfeit Type CTC (%) Counterfeit Type CTC (%)
53.05
Recycled
51.18
52.33
Remarked
50.35
1.4
Overproduced
1.4
-of-spec./Defective 21.94
Out
-of-spec./Defective 21.86
4.57
Cloned
4.32
57.97
Forged Documentation
54.1
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Sampling Plan
The sampling plan is derived from the General Specification for
Microcircuits, MIL-PRF-38535, Appendix D, with an accept
number (c) equal to zero:
No indications that the part is suspect counterfeit are allowed.
Any lot subject to suspect/counterfeit detection shall be one that is
received in a single shipment (procurement lot) at incoming
inspection and contains parts that all have the same lot or date code.
The same parts can be used for more than one destructive test
(e.g., remarking and resurfacing, part dimensions, DDPA)
The standard sampling plan applies for lots of more than 200 parts.
Smaller lots have modified sampling plans.
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Sampling Plan, Standard Lot (>200 parts)
TEST / INSPECTION TEST SAMPLE SIZE
External Visual, General Criteria Inspect all devices in Lot
External Visual, Detailed Criteria 119 devices, c=0
Remarking & Resurfacing 3 devices, c=0
Part Dimensions 3 devices, c=0
Radiological, AM 45 devices, c=0
XRF, lead finish 3 devices, c=0
DDPA 3 devices, c=0
Electrical Tests 116 devices, c=0
Burn-In 45 devices, c=0
Thermal Shock
Temperature Cycling
Seal Test
22 devices, c=0
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Center for Advanced Life Cycle Engineering
Taxonomy: Defects for Applicable Parts and
Devices
Defects
Mechanical
Electrical
Parametric
Manufacturing
P1: Invalid
Lot Code
P2: Invalid OCM/
OEM Shipping
Labels
P3: Invalid OCM/
OEM Packaging
P4: No ESD
Bags for ESD
Sensitive
Devices
P5: Missing/
Forged
Paperwork
P6: Multiple
Date Codes
within a Lot
P7: Part
Orientation
within Packaging
P8: Missing/
incorrect MSD
Indicators
Leads/Balls/
Columns
M1: Dents
M2: Re-tinned
M3: Incorrect
Dimensions
M4: Wrong
Materials
M5: Color
Variations
M6: Tooling
Marks
M7:
Misaligned/
missing Balls/
Columns
M8: Distorted/
Non-uniform
Balls/Columns
Package
M10: Sanding /
Grinding Marks
M11:
Markings
M12: Burned
Markings
M17: Dirty Cavities
M18: Incorrect
Dimensions/ Weight
M19: High/Fine/
Gross Leak
(Hermetic)
M20: Package Mold
Variations
M13:Ghost
Markings
M14: Color
Variations/
Fade
M15: Improper
Textures
M16: Extraneous
Markings
Bond Wires
M23: Missing
Wires
M24: Poor
Connection
M25: Broken
Wires
M26: Poor/
Inconsistent
Lead Dress/
Lead Frame
M27: Re-
worked Wire
Bonds
Die
M29: Missing Die
M30: Wrong Die
M31:
Delamination
M32: Gross
Cracks
M33: Improper
Die Markings
M34: Die Damage/
Extraneous
Markings
E1: Transistor
V
th
Variation
E2: TDDB
E3: Resistive
Open / Short
E4: Out-of-spec
Leakage
Current
E5: Out-of-
spec. Transient
Current
E7: Delay Defects
E6: Incorrect
Temp. Profile
Process
E8: Missing
Contact
Windows
E10: Oxide
Break-down
E11: Parasitic
Transistors
E9: Misaligned
Window
Material
E12: Fine
Cracks
E13: Crystal
Imperfection
E14: Surface
Impurities
E15: Improper
Materials
(Seals, Epoxies,
Dielectrics, etc)
Package
E17: Contact
Degradation
E18: Seal Leaks
E20: Mechanical
Interfaces:
Intermetallic Growth
E19: Electromigration
E21: Mechanical
Interfaces: Fatigue
E16: Surface
Passivation and
Corrosion
M21: Package
Damage
Procedural
Environmental
Packaging/
Shipping
Package
P9: Invalid
Lot/Date/
Country Code
Leads/Balls/
Columns
Package
N2: Oxidation/
Corrosion
N1:
Contamination
N3: Abnormal
Package
Conditions
N4:
Contamination
M9:Lead Re-
attachment
M28: Bond
Pull Strength
M35: Poor/
Inconsistent Die
Attach
M22: Resurfacing/
blacktopping
Counterfeits
Recycled OverproducedRemarked
Out-of-
spec/Defective
Cloned
Forged
Documentation
Tampered
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Center for Advanced Life Cycle Engineering
Methodology and Scope of Data Analysis
Global information services organization that
monitors, investigates, and reports issues affecting
global electronics supply chain
Data collected is the time frame between February
2015 to August 2015 from ERAI
Study is limited to observations of data
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Center for Advanced Life Cycle Engineering
Counts of defects by Code
0
50
100
150
200
250
300
350
P1
P2
P3
P4
P5
P6
P7
P8
P9
P10
P11
P12
ME1
ME2
MT1
MT2
MT3
MT4
MT5
MT6
MT7
MT8
MT9
MS1
MS2
MS3
MS4
MS5
MS6
MS7
MS8
MS9
MS10
MS11
MS12
MS13
MS14
MP1
MP2
MP3
MP4
MP5
MP6
MP7
MP8
MP9
MP10
MP11
MP12
MP13
MP14
MP15
MP16
MP17
MP18
MP19
MP20
MP21
MP22
MP23
E1
E2
E3
E4
E5
E6
E7
E8
E9
Highest frequency of defects occurred with the
physical surface category
MS9 shows the highest amount of occurrence
Zero Frequency Codes
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Center for Advanced Life Cycle Engineering
441 defects (65.7%) of 671 for different manufacturers are list above
Xilinx INC (100) and Altera Corp (39) account for 20.7% of the Total reported
incidents
All companies in the graph have at least 10 reported incidents
0 20 40 60 80 100 120
XILINX INC
ALTERA CORP
ST MICROELECTRONICS
ANALOG DEVICES INC
TEXAS INSTRUMENTS INC
INTEL CORP
ATMEL CORP
INTERSIL CORP
MAXIM INTEGRATED PRODUCTS INC
CYPRESS SEMICONDUCTOR CORP
MOTOROLA INC
NATIONAL SEMICONDUCTOR CORP
NXP SEMICONDUCTORS
HITACHI LTD
MICRON TECHNOLOGY INC
ADVANCED MICRO DEVICES INC
FREESCALE SEMICONDUCTOR INC
SAMSUNG SEMICONDUCTOR INC
VISHAY
Counts of Incidents by Manufacturer
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Center for Advanced Life Cycle Engineering
Counts of Defects by Country of Origin
Country of Origin is the location where the part was assembled
Reported for 315 out of 671 parts
0
10
20
30
40
50
60
70
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Center for Advanced Life Cycle Engineering
Multiple Incidents reported for the same Part
Number
Manufacturer Part Number
Count of Part
Repetitions
INTERSIL CORP
HA7
-5127A-5 5
QUALCOMM
Q1900C
-1S3 4
CYPRESS SEMICONDUCTOR CORP
CY7C964
-ASC 4
NXP SEMICONDUCTORS
SAA7129AH
3
SANDISK CORP
SDED7
-256M-N9Y 3
ALTERA CORP
EPCS64SI16N
3
PLX TECHNOLOGY INC
PCI9030
-AA60BI 3
TEXAS INSTRUMENTS INC
TMS320F243PGEA
3
HARRIS SEMICONDUCTOR
HI1
-1828A-8 3
HITACHI LTD
HM628512LFP
-10SL 3
Intersil Corp had the part number HA7-5127A-5 reported as 5 separate
incidents with different Date and Lot Codes. In this case similar results
were observed for all suspect parts.
These Part Numbers were reported at least three times
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ERAI Trend Review (Capacitors)
Used by permission, ERAI
Recent Trends in Counterfeit Electronic Parts, Naval Surface Warfare
Center, Crane, CALCE/SMTA Symposium 2016.
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Center for Advanced Life Cycle Engineering
Change Control and Notification
Change control is the procedure used by part
manufacturers to propose, qualify, approve, and
implement changes made to parts.
Change notification is the procedure used by the
part manufacturers to notify their customers of
changes made to the parts.
“Tracking Semiconductor Part Changes Through the Supply Part Chain,” IEEE Transactions on Components and Packaging
Technologies, Vol. 25, No. 2, pp. 230-238, June 2002.
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Center for Advanced Life Cycle Engineering
Change Notification Standard
The product change notice (PCN) is a document sent to
customers describing part or process changes, the reasons for
the change, and the projected impact of the change.
Industry standards on change control and notification for
electronics have been developed by the Joint Electron Device
Engineering Council (JEDEC), the standards development arm of
the Electronic Industries Association (EIA).
These standards form the basis of many change notification
procedures.
The new standard J-STD-046 is a joint result including the ECIA
and the IPC.
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Center for Advanced Life Cycle Engineering
J-STD-046 Minimum Elements of Supplier’s
PCN Procedure
Method of identifying and documenting the
customer's unique PCN requirements.
Definition and classification of proposed changes.
(Note: This could be a reference to a separate
controlled document, e.g., Engineering Change
Notice.)
Notification timing.
Deliverables to customer – contents of change
notification.
Record retention requirements.
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Center for Advanced Life Cycle Engineering
J-STD-046 Generic Types of Major Changes
That Require Customer Notification
Design
Change in external dimension
Change of critical material/component
Changes in process technology affecting critical
process steps
Change of product marking technology
Manufacturing/Test
Location
Site transfer to a site not previously qualified
(fabrication, assembly, or test site of the finished
product)
Packing/Shipping
Change in carrier type (tube, reel, tray, etc.) or
dimensions
Change of product orientation within shipping media
Significant change of labelling
Dry pack requirements change
Reduction in environmental storage conditions
Datasheet
Change of datasheet parameters, electrical
specification
Elimination of final electrical measurement or burn-in
(if specifically stated in the datasheet as being
performed)
University of Maryland
© CALCE
36
Center for Advanced Life Cycle Engineering
PCN History (Altera): 1996-2014
University of Maryland
© CALCE
37
Center for Advanced Life Cycle Engineering
Cumulative PCNs: 1996-2014
Temperature range change 1
Lead finish 3
MSL change 6
Design change 11
Package material change 14
Change in marking or date code 17
Mold compound 21
Miscellaneous (including external packaging) 26
Die revision or addition 27
Addition or change of Fab facility 35
Addition or change of assembly/test facility 37
University of Maryland
© CALCE
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Center for Advanced Life Cycle Engineering
Material Transition Maps from PCNs
2002 2003 2004 2005 2006 2007 2008
OLD
Shin Etsu
Sumitomo
EME
6300
Sumitomo
EME
7320
Nitto MP
8000
Nitto HC
100
Sumitomo
EME
6300HJ
Sumitomo
G770
NE
W
Nitto HC-
100
Nitto MP
8000
Sumitomo
G700L
Sumitomo
G600
Sumitomo
G770
Sumitomo
G600
Hitachi
CEL-
9750ZH
F10AKL
Sample Map:
Shin Etsu > Nitto HC-100 > Sumitomo G770 > Hitachi CEL-9750ZH F10AKL
University of Maryland
© CALCE
39
Center for Advanced Life Cycle Engineering
2008 Sumitomo to Hitachi
Sumitomo G770 Hitachi CEL-
9750ZHF10AKL(LSA)
Equipment Comments
Specific Gravity
2.01 2.00
Lab tools No change
Water Absorption (24 hr) (%w)
0.15 0.32
Lab tools 50% increase
Glass Transition Temperature(
o
C)
130 130
DSC or TMA No change
Thermal Conductivity (Watts/m °C)
3.7 -
Laser Flash
Volume Resistivity (
Ωm)
1×10
12
1×10
16
Parallel
Electrodes,
Multimeters
and Test
Chambers
large increase
Thermal Expansion (T<Tg) )(1e-6/°C)
8 8
TMA No change
Thermal Expansion (T>Tg) )(1e-6/°C)
37 34
TMA 8% decrease
Extracted Na+ (ppm)
1 1
IC No change
Extracted Cl- (ppm)
5 25
IC 5 times
increase
University of Maryland
© CALCE
40
Center for Advanced Life Cycle Engineering
Sample Timeline: Altera FPGA
EPF6016AFC100-1
introducti
on
Nitto HC-
100
Shin Etsu
Shin Etsu
Nitto
Denko HC-
100-XJ
2002
2005
Nitto
Sumitomo
G770
2006
Sumitomo
G770
Hitachi
CEL
Sumitomo
G770
Nitto GE-
100LFCS
2008
2008
ASAT
Hong
Kong
ASE
Malaysi
a
ASE
Malaysi
a and
ASE
Taiwan
Amkor
Korea and
Amkor
Philippines
2000
University of Maryland
© CALCE
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Center for Advanced Life Cycle Engineering
Technology Solutions Tagging and
Tracking
Taggants can help verify origin and monitoring the
supply chain of components
CALCE investigated three taggant technologies of
the following companies took place: Applied DNA
Sciences, DataDot, InfraTrac
To determine whether the marking withstands extreme
working conditions
To determine whether the marking has any impact on
the electrical, physical and/or chemical properties of the
part
All three passed the evaluation performed by us
University of Maryland
© CALCE
42
Center for Advanced Life Cycle Engineering
Technology Solutions – Feature
Comparison
Surface image based
Die feature based
Physically “unclonable” features
Inserted dielets (DARPA)
University of Maryland
© CALCE
43
Center for Advanced Life Cycle Engineering
Technology Solutions Tagging and
Tracking
Power Consumption Waveform Analysis – Battelle
Barricade
Electromagnetic Emission Nokomis ADEC
Power Spectrum Analysis Sandia National Lab
University of Maryland
© CALCE
44
Center for Advanced Life Cycle Engineering
Symposium on Counterfeit Electronic Parts,
Materials and on Electronics Supply Chain 2017
https://smta.org/counterfeit/
Sessions include:
Concerns and Response
Standards: SAE and Others
Panel Discussion on Role of Test Laboratories in Reporting
Future Technologies for Tracking and Detection
Counterfeits Lifecycle
Detection of Counterfeit Parts
Tracking Parts through Supply Chain
Views Across Supply Chain
Keynote Talks
"Cloned" Devices - How Similar or Different Are Those from Originals
Overview of Historical Trends Relating to Suspect Counterfeit, Non-
Conforming and High Risk Electronic Components
University of Maryland
© CALCE
45
Center for Advanced Life Cycle Engineering
Workshops at Symposium on Counterfeit
Electronic Parts, Materials and on Electronics
Supply Chain 2017
WS 1 Implementation Process of SAE 6171 CALCE
WS 2
Use of Component Documentation and
Supply Chain for Counterfeit Avoidance
CALCE
University of Maryland
© CALCE
46
Center for Advanced Life Cycle Engineering
CALCE Acknowledges its Sponsors and Customers
ABB Switzerland Ltd.
ACell, Inc.
Advanced Bionics
Agilent Technologies, Inc.
America II Electronics, Inc.
Anadigics, Inc.
Ansaldo STS USA, Inc.
Arbitron Co.
ATV Semapp
Austria Microsystems AG
Avaya Global Operations
BAE Systems Electronics &
Integrated Solutions
Baker Hughes Inc.
Bartlit Beck Herman
Palenchar & Scott LLP
Beijing Weibu Technology
Limited Liability Company
Boeing Co.
Bombardier Aerospace
CAPE
Cascade Engineering Services
Celestica International
CEPREI Laboratory
Chrysler Corp.
CIC VIRTUHCON - the
Group 'Interphase Phenomena'
Club Car Ingersoll-Rand, Inc.
Cochlear, Ltd.
CurtissWright Controls
Embedded Computing
Daktronics Inc.
Defense Microelectronics
Activity
Dell, Inc.
Dow Chemical Co.
Dow Solar Solutions
DSO National Laboratories
EADS IW
Electrospec, Inc.
EMBRAER S.A.
EMC Corp.
Ericsson AB
Fairchild Controls Corp.
Fujitsu Network Communications
GE Aviation Systems
GE Corporate R&D
GE Healthcare Technologies
GE Intelligent Platforms
GE Oil & Gas
General Dynamics Advanced
Information Systems, Inc.
Goodwin Procter
Guardian Global Technologies Ltd.
Hamilton Sundstrand
Harris GCSD
HDP User Group
Henkel Technologies
Hewlett Packard Co.
Honeywell, Inc.
iDirect
Intel Corp.
Jones Day
L-3 Communications
L3 Telemetry East
Lansmont Corporation
LG Electronic, Inc.
Littelfuse Inc.
Lockheed Martin Corp.
Lutron Electronics Co., Inc.
Man & Machine Inc.
MEI - Supply Engineering
Microsoft Corp.
MIT Lincoln Laboratory
MKS Instruments, Inc.
Moog Inc.
MSA
Munger, Tolles & Olson LLP
NASA Glenn Research Center
NASA Goddard Sapce Flight Ctr
Naval Surface Warfare Center
NetApp Inc.
NIC Components Corp.
Nokia
Northrop Grumman
Oak Mitsui
Oracle America
Ortho Clinical Diagnostics
Park Electrochemical Corp.
Philips Applied Technologies
Philips Healthcare
Philips Lighting B.V.
Physio-Control Corp.
QualMark Corp.
Raytheon Co.
Regal Beloit
ReliaSoft Corporation
Research in Motion, Ltd.
Robert Bosch
Rockwell Automation
Rockwell Collins
Rolls Royce Submarines
Rolls-Royce Engine Control
Systems Ltd.
Samsung Electro-Mechanics
Samsung Electronics Co.
Samsung Electronics
Semiconductor
Sandia National Laboratories
Savenia Labs.
Schlumberger WesternGeco AS
Schlumberger Oil Drilling Services
Science Research Laboratory
Selex Electronics Systems Ltd
Silicon Powers
SORAA
Souriau
Stratasys, Inc.
Super Micro Computer, Inc.
Team Corp.
TEKELEC
Telcare, Inc.
TEMIC Servicios, S.A. de C.V.
Teradyne, Inc.
Tessera
Tintronics Industries
Toyota Research Institute of N.A.
TU CIC Virtuhcon
U.S. Army ARDEC
U.S. Army CECOM
U.S. Army Research Lab.
U.S. AMSAA
Unison Industries
United Technology Aerospace
Universal Lighting Technologies
Zentech
Consumer and mobile products
Telecommunications and computer systems
Energy systems (generation/storage/distr)
Industrial systems
Automotive systems
Aerospace systems
Medical systems
Military systems
Equipment manufacturers
Government Labs and Agencies