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ASTM Selected Technical Papers
Structural Integrity of Additive Manufactured Parts
By
Nima Shamsaei
Nima Shamsaei
Symposium Chair and STP Editor
1
Auburn University
,
Auburn, AL,
US
Search for other works by this author on:
Steve Daniewicz
Steve Daniewicz
Symposium Chair and STP Editor
2
The University of Alabama
,
Tuscaloosa, AL,
US
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Nik Hrabe
Nik Hrabe
Symposium Chair and STP Editor
3
National Institute of Standards and Technology
,
Boulder, CO,
US
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Stefano Beretta
Stefano Beretta
Symposium Chair and STP Editor
4
Politecnico di Milano
,
Milan,
IT
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Jess Waller
Jess Waller
Symposium Chair and STP Editor
5
National Aeronautics and Space Administration
,
HX5, Las Cruces, NM,
US
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Mohsen Seifi
Mohsen Seifi
Symposium Chair and STP Editor
6
ASTM International
,
Washington, DC,
US
Search for other works by this author on:
ISBN:
978-0-8031-7686-7
No. of Pages:
594
Publisher:
ASTM International
Publication date:
2020

Depending on input material, process method, process parameters, and post-processing, the resulting defect state in as-built and finished additive manufactured (AM) parts can be highly variable and complex. To complicate matters further, the terminology used to describe specific defect types can be archaic or user specific and is in need of global harmonization. A common understanding of the root causes of defects and the effect of defects on relevant properties continues to evolve. In powder bed processing, for example, potential defects can be very small, down to the powder particle size. Defects also can occur because of single or multiple causes. Even when there are multiple causes, single defect types can be produced that fail by a single failure mode. Alternatively, a single defect type can have several different failure modes. The objective of this paper is to classify and identify types of technologically important defects that occur in AM parts produced by powder bed fusion (PBF) and directed energy deposition (DED). A breakdown of technologically important defects is presented in three sections: the cause, the defect, and detection by nondestructive evaluation (NDE). The effect-of-defect on relevant end-use properties is addressed whenever possible. For example, the effect of lack-of-fusion flaws on ultimate tensile properties and high cycle fatigue life is discussed, thus demonstrating the need to be able to detect such flaws. Thus, although the causes of the defects occurring in PBF and DED parts can be quite different, the actual defects can have some similarities. In general, reliable detection of defects by NDE does not depend on the process cause, but depends more on the size, geometry, and location (and, potentially, the morphology) of the defect as well as the complexity, density, and surface finish of the part.

1.
Seifi
M.
,
Gorelik
M.
,
Waller
J.
,
Hrabe
N.
,
Shamsaei
N.
,
Daniewicz
S.
, and
Lewandowski
J. J.
, “
Progress towards Metal Additive Manufacturing Standardization to Support Qualification and Certification
,”
Journal of the Minerals, Metals, and Materials Society
69
, no.
3
(
2017
): 439–455.
2.
Seifi
M.
,
Salem
A.
,
Beuth
J.
,
Harrysson
O.
, and
Lewandowski
J. J.
, “
Overview of Materials Qualification Needs for Metal Additive Manufacturing
,”
Journal of the Minerals, Metals, and Materials Society
68
, no.
3
(
2016
): 747–764.
3.
Gorelik
M.
, “
Additive Manufacturing in the Context of Structural Integrity
,”
International Journal of Fatigue
94
,
Pt. 2
(
2017
): 168–177.
4.
Gong
H.
,
Rafi
K.
,
Gu
H.
,
Ram
G. D.
J.
,
Starr
T.
, and
Stucker
B.
, “
Influence of Defects on Mechanical Properties of Ti-GA1-4 Components Produced by Selective Laser Melting and Electron Beam Melting
,”
Materials and Design
86
(
2015
): 545–554.
5.
Lewandowski
J. J.
and
Seifi
M.
, “
Metal Additive Manufacturing: A Review of Mechanical Properties
,”
Annual Review of Materials Research
46
, no.
1
(
2016
): 151–186.
6.
Awd
M.
,
Tenkamp
J.
,
Hirtler
M.
,
Siddique
S.
,
Bambach
M.
, and
Walther
F.
, “
Comparison of Microstructure and Mechanical Properties of Scalmalloy Produced by Selective Laser Melting and Laser Metal Deposition
,”
Materials
11
, no.
1
(
2017
): 17.
7.
Fousová
M.
,
Vojtěch
D.
,
Doubrava
K.
,
Daniel
M.
, and
Lin
C.-F.
, “
Influence of Inherent Surface and Internal Defects on Mechanical Properties of Additively Manufactured Ti6Al4V Alloy: Comparison between Selective Laser Melting and Electron Beam Melting
,”
Materials
11
, no.
4
(
2018
): 537.
8.
Frazier
W. E.
, “
Metal Additive Manufacturing: A Review
,”
Journal of Materials Engineering and Performance
23
, no.
6
(
2014
): 1917–1928.
9.
Wycisk
E.
,
Solbach
A.
,
Siddique
S.
,
Herzog
D.
,
Walther
F.
, and
Emmelmann
C.
, “
Effects of Defects in Laser Additive Manufactured Ti-6Al-4V on Fatigue Properties
,”
Physics Procedia
56
(
2014
): 371–378.
10.
Hrabe
N.
,
Gnäupel-Herold
T.
, and
Quinn
T.
, “
Fatigue Properties of a Titanium Alloy (Ti6Al4V) Fabricated via Electron Beam Melting (EBM): Effects of Internal Defects and Residual Stress
,”
International Journal of Fatigue
94
(
2017
): 202–210.
11.
Mohr
W.
,
Assessment of Literature on Fatigue Performance of Additively Manufactured Metals
(
Columbus, OH
:
EWI
,
2016
).
12.
Romano
S.
,
Beretta
S.
,
Brandão
A.
,
Gumpinger
J.
and
Ghidini
T.
, “
HCF Resistance of AlSi10Mg Produced by SLM in Relation to the Presence of Defects
,”
Procedia Structural Integrity
7
(
2017
): 101–108.
13.
Seifi
M.
,
Christiansen
D.
,
Beuth
J. L.
,
Harrysson
O.
, and
Lewandowski
J. J.
, “
Process Mapping, Fracture and Fatigue Behavior of Ti-6Al-4V Produced by EBM Additive Manufacturing
,” in
Proceedings of the 13th World Conference on Titanium
, ed.
Pilchak
A.
(
San Diego, CA
:
TMS
,
2015
), 1373–1377.
14.
Guidance Material for Aircraft Engine Life-Limited Parts Requirements: Including Change 1
, Advisory Circular 33.70-1 (
Washington, DC
:
U.S. Department of Transportation, Federal Aviation Administration
, February 24,
2017
).
15.
Gorelik
M.
,
Lenets
Y.
, and
Menon
M. N.
, “
GT2005-68770. Development of Probabilistic Lifing System for Advanced Turbine Rotor Alloys
,” in
Proceedings of the ASME Turbo Expo 2005: Presented at the 2005 ASME Turbo Expo, Volume 4: Industrial and Cogeneration. Oil and Gas Applications, Structures and Dynamics
(
New York: NY
:
ASME
,
2005
): 463–466.
16.
Corran
R.
,
Gorelik
M.
,
Lehmann
D.
, and
Mosset
S.
, “
GT2006-90843: The Development of Anomaly Distributions for Machined Holes in Aircraft Engine Rotors
,” in
Proceedings of the ASME Turbo Expo 2006: Presented at the 2006 ASME Turbo Expo.Volume 5: Marine Microturbines and Small Turbomachinery Oil and Gas Applications, Structures and Dynamics, Parts A and B
(
New York, NY
:
ASME
,
2006
), 941–950.
17.
Damage Tolerance for High Energy Turbine Engine Rotors—Including Change 1
, Advisory Circular 33.14-1 (
Washington, DC
:
U.S. Department of Transportation, Federal Aviation Administration
, March 7,
2017
).
18.
Damage Tolerance of Hole Features in High-Energy Turbine
, Advisory Circular 33.70-2 (
Washington, DC
:
U.S. Department of Transportation, Federal Aviation Administration
, August 28,
2009
).
19.
Standard Terminology for Nondestructive Examinations
, ASTM E1316-19a (
West Conshohocken, PA
:
ASTM International
, approved August 23,
2019
).
20.
Additive Manufacturing Standardization Collaborative
,
Standardization Roadmap for Additive Manufacturing
, Version 2.0 (
ANSI and NDCMM/America Makes
, June
2018
).
21.
Standard Guide for Nondestructive Examination of Metal Additively Manufactured Aerospace Parts after Build
, ASTM E3166-20 (
West Conshohocken, PA
:
ASTM International
, approved February 1,
2020
),
22.
Additive Manufacturing—General Principles—Non-destructive Testing of Additive Manufactured Products
, ISO/ASTM DTR 52905 (
Geneva, Switzerland
:
International Organization for Standardization
, under development).
23.
Additive Manufacturing—General Principles—Terminology
, ISO/ASTM 52900 (ASTM F2792) (
Geneva, Switzerland
:
International Organization for Standardization
, approved December
2015
).
24.
Tofail
S. A.
,
Koumoulos
E. P.
,
Bandyopadhyay
A.
,
Bose
S.
,
O'Donoghue
L.
, and
Charitidis
C.
, “
Additive Manufacturing: Scientific and Technological Challenges, Market Uptake and Opportunities
,”
Materials Today
21
, no.
1
(
2018
): 22–37.
25.
Bhavar
V.
,
Kattire
P.
,
Patil
V.
,
Khot
S.
,
Gujar
K.
, and
Singh
R.
, “
A Review on Powder Bed Fusion Technology of Metal Additive Manufacturing
,” in
Additive Manufacturing Handbook: Product Development for the Defense Industry
, ed.
Badiru
A. B.
,
Valencia
V. V.
, and
Liu
D.
(
New York
:
Taylor & Francis
,
2017
), 751–753.
26.
Gebhardt
A.
and
Hötter
J.-S.
, “
6–Direct Manufacturing: Rapid Manufacturing
,” in
Additive Manufacturing: 3D Printing for Prototyping and Manufacturing
(
Munich, Germany
:
Verlag
,
2016
): 395–450.
27.
Yasa
E.
,
Deckers
J.
and
Kruth
J.
, “
The Investigation of the Influence of Laser Re-melting on Density, Surface Quality and Microstructure of Selective Laser Melting Parts
,”
Rapid Prototyping Journal
17
, no.
5
(
2011
): 312–327.
28.
AMAZE
, “
Additive Manufacturing Aiming towards Zero Waste and Efficient Production of High-Tech Metal Products
,”
Manufacturing Technology Centre
,
2017
, https://perma.cc/X9GV-MZBP
29.
Li
R.
,
Liu
J.
,
Shi
Y.
,
Wang
L.
, and
Jiang
W.
, “
Balling Behavior of Stainless Steel and Nickel Powder during Selective Laser Melting Process
,”
International Journal of Advanced Manufacturing Technology
59
, no.
9–12
(
2011
): 1025–1035.
30.
Kruth
J. P.
and
Van Elsen
M.
,
Complexity of Selective Laser Melting: A New Optimisation Approach
(
Leuven, Belgium
:
KU Leuven
,
2007
).
31.
Masuo
H.
,
Tanaka
Y.
,
Morokoshi
S.
,
Yagura
H.
,
Uchida
T.
,
Yamamoto
Y.
, and
Murakami
Y.
, “
Effects of Defects, Surface Roughness and HIP on Fatigue Strength of Ti-6Al-4V Manufactured by Additive Manufacturing
,”
Procedia Structural Integrity
7
(
2017
): 19–26.
32.
Popov
V.
,
Katz-Demyanetz
A.
,
Garkun
A.
,
Muller
G.
,
Strokin
E.
, and
Rosenson
H.
, “
Effect of Hot Isostatic Pressure treatment on the Electron-Beam Melted Ti-6Al-4V Specimens
,” in
Procedia Manufacturing
21
(
2018
): 125–132.
33.
Qiu
C.
,
Ravi
G.
and
Attallah
M. M.
, “
Microstructural Control during Direct Laser Deposition of a β-Titanium Alloy
,”
Materials and Design
81
(
2015
): 21–30.
34.
Brierly
N.
,
Dutton
B.
,
Felice
M. V.
,
Milne
K.
,
Turner
N.
, and
Everton
S.
, “
NDE as an Enabler for Additive Manufacturing
” (paper presentation, 54th Annual Conference of the British Institute of Non-destructive Testing,
Telford, UK
, September 8–10,
2015
).
35.
Everton
S.
,
Dickens
P.
,
Tuck
C.
, and
Dutton
B.
, “
Using Laser Ultrasound to Detect Subsurfaces Defects in Metal Laser Powder Bed Fusion Components
,”
Journal of the Minerals, Metals, and Materials Society
70
, no.
3
(
2018
): 378–383,
36.
Kelly
S. M.
and
Kampe
S. L.
, “
Microstructural Evolution in Laser-Deposited Multilayer Ti-6Al-4V Builds: Part I. Microstructural Characterization
,”
Metallurgical and Materials Transactions A
35
, no.
6
(
2004
): 1861–1867.
37.
Collins
P. C.
,
Bond
L. J.
,
Taheri
H.
,
Bigelow
T. A.
,
Shoaib
M. R. B.
M.
, and
Koester
L. W.
, “
Powder-Based Additive Manufacturing: A Review of Types of Defects, Generation Mechanisms, Detection, Property Evaluation and Metrology
,”
International Journal of Additive and Subtractive Materials Manufacturing
1
, no.
2
(
2017
): 172–209.
38.
Singh
S.
,
Ramakrishna
S.
, and
Singh
R.
, “
Material Issues in Additive Manufacturing: A Review
,”
Journal of Manufacturing Processes
25
(
2017
): 185–200.
39.
Zhao
C.
,
Fezzaa
K.
,
Cunningham
R. W.
,
Wen
H.
,
De Carlo
F.
,
Chen
L.
,
Rollett
A. D.
, and
Sun
T.
, “
Real-Time Monitoring of Laser Powder Bed Fusion Process Using High-Speed X-ray Imaging and Diffraction
,”
Scientific Reports
7
, no.
1
(
2017
).
40.
Liu
S.
and
Shin
Y. C.
, “
Additive Manufacturing of Ti6Al4V Alloy: A Review
,”
Materials and Design
164
, no.
107552
(
2019
): 23.
41.
Li
P.-H.
,
Guo
W.-G.
,
Huang
W.-D.
,
Su
Y.
,
Lin
X.
, and
Yuan
K.-B.
, “
Thermomechanical Response of 3D Laser-Deposited Ti–6Al–4V Alloy over a Wide Range of Strain Rates and Temperatures
,”
Materials Science and Engineering: A
647
(
2015
): 34–42.
42.
Kasperovich
G.
,
Haubrich
J.
,
Gussone
J.
, and
Requena
G.
, “
Correlation between Porosity and Processing Parameters in TiAl6V4 Produced by Selective Laser Melting
,”
Materials and Design
105
(
2016
): 160–170.
43.
Attar
H.
,
Bönisch
M.
,
Calin
M.
,
Zhang
L.-C.
,
Scudino
S.
, and
Eckert
J.
, “
Selective Laser Melting of In Situ Titanium–Titanium Boride Composites: Processing, Microstructure and Mechanical Properties
,”
Acta Materialia
76
(
2014
): 13–22.
44.
Zhou
X.
,
Wang
D.
,
Liu
X.
,
Zhang
D.
,
Qu
S.
,
Ma
J.
,
London
G.
,
Shen
Z.
, and
Liu
W.
, “
3D-Imaging of Selective Laser Melting Defects in a Co–Cr–Mo Alloy by Synchrotron Radiation Micro-CT
,”
Acta Materialia
98
(
2015
): 1–16.
45.
Pang
S.
,
Chen
W.
, and
Wang
W.
, “
A Quantitative Model of Keyhole Instability Induced Porosity in Laser Welding of Titanium Alloy
,”
Metallurgical and Materials Transactions A
45
, no.
6
(
2014
): 2808–2818.
46.
Gong
H.
,
Rafi
K.
,
Gu
H.
,
Starr
T.
, and
Stucker
B.
, “
Analysis of Defect Generation in Ti-6Al-4V Parts Made Using Powder Bed Fusion Additive Manufacturing Processes
,”
Additive Manufacturing
1–4
(
2014
): 87–98.
47.
Murr
L. E.
,
Quinones
S. A.
,
Gaytan
S. M.
,
Lopez
M. I.
,
Rodela
A.
,
Martinez
E. Y.
,
Hernandez
D. H.
,
Martinez
E.
,
Medina
F.
, and
Wicker
R. B.
, “
Microstructure and Mechanical Behavior of Ti-6Al-4V Produced by Rapid-Layer Manufacturing, for Biomedical Applications
,”
Journal of the Mechanical Behavior of Biomedical Materials
2
, no.
1
(
2009
): 20–32.
48.
Antony
K.
and
Arivazhagan
N.
, “
Studies on Energy Penetration and Marangoni Effect during Laser Melting Process
,”
Journal of Engineering Science and Technology
10
, no.
4
(
2015
): 509–525.
49.
Kempen
K.
,
Vrancken
B.
,
Buls
S.
,
Thijs
L.
,
Van Humbeeck
J.
, and
Kruth
J.-P.
, “
Selective Laser Melting of Crack-Free High Density M2 High Speed Steel Parts by Baseplate Preheating
,”
Journal of Manufacturing Science and Engineering
136
, no.
6
(
2014
): 061026–061032.
50.
Moylan
S.
,
Slotwinski
J.
,
Cooke
A.
,
Jurrens
K.
, and
Donmez
M. A.
,
Lessons Learned in Establishing the NIST Metal Additive Manufacturing Laboratory
(
Gaithersburg, MD
:
U.S. Department of Commerce, National Institute of Standards and Technology
,
2013
).
51.
Vesga
W.
,
Dutton
B.
,
Wright
J. R.
,
Rodriguez-Sanmartin
D.
,
Potter
M.
,
Lunn
N.
,
Baratoui
M.
, and
Martin
T.
, “
Automated Complementary NDT Inspection System for Production of AM Parts—RASCAL
” (paper presentation, 58th Annual Conference of the British Institute of Non-destructive Testing,
Telford, UK
, September 3–5,
2019
).
52.
Waller
J.
,
Burke
E.
,
Wells
D.
,
Nichols
C.
,
Brandão
A.
,
Gumpinger
J.
,
Born
M.
,
Ghidini
T.
,
Nakagawa
T.
,
Koike
A.
,
Mitsui
M.
, and
Itoh
T.
, “
NDE-Based Quality Assurance of Metal Additively Manufactured Aerospace Parts at NASA, JAXA, and ESA
,” in
Structural Integrity of Additive Manufactured Parts
, ed.
Shamsaei
N.
,
Daniewicz
S.
,
Hrabe
N.
,
Beretta
S.
,
Waller
J.
, and
Seifi
M.
(
West Conshohocken, PA
:
ASTM International
,
2020
)
53.
Waller
J.
,
Parker
B.
,
Hodges
K.
,
Burke
E.
,
Walker
J.
, and
Generazio
E.
, Nondestructive Evaluation of Additive Manufacturing State-of-the-Discipline Report, NASA/TM-2014-218560 (technical report,
NASA Johnson Space Center
, Houston, TX, November
2014
).
54.
Standard for Additively Manufactured Spaceflight Hardware by Laser Powder Bed Fusion in Metals
, MSFC-STD-3716 (
Huntsville, AL
:
NASA Marshall Space Flight Center
, October 81,
2017
).
55.
Zhang
B.
,
Li
Y.
, and
Bai
Q.
, “
Defect Formation Mechanisms in Selective Laser Melting: A Review
,”
Chinese Journal of Mechanical Engineering
30
, (
2017
): 515–527,
56.
Brown
A.
,
Jones
Z.
, and
Tilson
W.
,
Classification, Effects, and Prevention of Build Defects in Powder-bed Fusion Printed Inconel 718
(
Huntsville, ALL NASA MSFC
,
Huntsville, AL
,
2016
).
57.
Madison
J.
,
Swiler
L.
,
Underwood
O.
,
Boyce
B.
,
Jared
B.
,
Rodelas
J.
, and
Salzbrenner
B.
,
Identification of Defect Signatures in an Additively Manufactured Precipitation-Hardened Stainless Steel
(
Albuquerque, NM
:
Sandia National Laboratories
,
2017
).
58.
Livings
R. A.
,
Biedermann
E. J.
,
Wang
C.
,
Chung
T.
,
James
S.
,
Waller
J. M.
,
Volk
S.
,
Krishnan
A.
, and
Collins
S.
, “
Nondestructive Evaluation of Additive Manufactured Parts Using Process Compensated Resonance Testing
,” in
Structural Integrity of Additive Manufactured Parts
(
West Conshohocken, PA
:
ASTM International
,
2020
), 165–205,
59.
Todorov
E.
,
Spencer
R.
,
Gleeson
S.
,
Jamshidinia
M.
, and
Kelly
S. M.
,
America Makes: National Additive Manufacturing Innovation Institute (NAMII) Project 1: Nondestructive Evaluation (NDE) of Complex Metallic Additive Manufactured (AM) Structures
, AFRL-RX-WP-TR-2014-0162 (
Cincinnati, OH
:
Air Force Research Laboratory, Materials and Manufacturing Directorate, Wright-Patterson Air Force Base
, June
2014
).
60.
Sharratt
B. M.
, “
Non-Destructive Techniques and Technologies for Qualification of Additive Manufactured Parts and Processes: A Literature Review
,” DRDC-RDDC-2015-C0352015 (
Sharratt Victoria, BC
:
Research and Consulting, Inc.
,
2015
).
61.
Lu
Q. Y.
and
Wong
C. H.
, “
Applications of Non-Destructive Testing Techniques for Post-Process Control of Additively Manufactured Parts
,”
Virtual and Physical Prototyping
12
, no.
4
(
2017
): 301–321.
62.
Chauveau
D.
, “
Review of NDT and Process Monitoring Techniques Usable to Produce High-Quality Parts by Welding or Additive Manufacturing
,”
Welding in the World
62
, no.
5
(
2018
): 1097–1118.
63.
Na
J. M.
,
Middedorf
J. K.
,
Lander
J.
, and
Waller
J.
, “
Nondestructive Evaluation of Programmed Defects in Ti-6Al-4V L-PBF ASTM E8-Compliant Dog-Bone Samples
,” in
Structural Integrity of Additive Manufactured Parts
(
West Conshohocken, PA
:
ASTM International
,
2020
), 206–233,
64.
Lu
Q. Y.
and
Wong
C. H.
, “
Additive Manufacturing Process Monitoring and Control by Non-destructive Testing Techniques: Challenges and In-process Monitoring
,”
Virtual and Physical Prototyping
13
, no.
2
(
2018
): 39–48.
65.
Albakri
M.
,
Sturm
L.
,
Williams
C. B.
, and
Tarazaga
P.
, “
Non-destructive Evaluation of Additively Manufactured Parts via Impedance-Based Monitoring
,”
Solid Freeform Fabrication Symposium
8
(
2015
): 1475–1490.
66.
Kiefel
D.
,
Scius-Bertrand
M.
, and
Stößel
R.
, “
Computed Tomography Inspection of Additive Manufactured Components in Aeronautic Industry
,” in
Proceedings of the 8th Conference on Industrial Computed Tomography
(
2018
).
67.
Aloisi
V.
and
Carmignato
S.
, “
Influence of Surface Roughness on X-ray Computed Tomography Dimensional Measurements of Additive Manufactured Parts
,”
Case Studies in Nondestructive Testing and Evaluation
6
(
2016
): 104–110.
68.
Visual Guide to the Most Common Defects in Powder Bed Fusion Technology
,”
2014
, https://perma.cc/Q2KV-2F8E
69.
Dutton
B.
, “
Non-Destructive Evaluation & Inspection for AM
” (presentation, Second ASTM Additive Manufacturing Center of Excellence Workshop,
Senlis, France
, September 16,
2019
).
70.
Yadollahi
A.
and
Shamsaei
N.
, “
Additive Manufacturing of Fatigue Resistant Materials: Challenges and Opportunities
,”
International Journal of Fatigue
98
(
2017
): 14–31.
71.
Duttton
B.
, “
In-Process Industrial Applications of Laser Ultrasound
” (paper presentation, Sixth International Symposium on Laser Ultrasonics,
Nottingham, UK
, July 12,
2018
).
72.
Standard Test Methods for Tension Testing Methods of Metallic Materials
, ASTM E8/E8M-16a (
West Conshohocken, PA
:
ASTM International
, approved August 1,
2016
).
73.
Rummel
W. D.
, “
Transfer of POD Performance Capabilities from Simple Shapes to Complex Shapes
,”
Review of Progress in Quantitative Nondestructive Evaluation
,
18
(
1999
): 2305–2310.
74.
Dobmann
G.
,
Cioclov
D.
, and
Kurz
J. H.
, “
The Role of Probabilistic Approaches in NDT Defect-Detection, -Classification, and -Sizing
,”
Welding in the World
51
, no.
5
(
2007
): 9–15.
75.
Berens
P.
and
Hovey
A. P.
,
Evaluation of NDE Reliability Characterisation
(
Dayton, OH
:
Wright-Patterson Air Force Base
,
1981
).
76.
Georgiou
G.
,
Probability of Detection (POD) Curves—Derivation, Applications and Limitations
(
London, UK
:
Health and Safety Executive
,
2006
).
77.
Keprate
A.
, “
Probability of Detection: History, Development and Future
,”
Pipeline Technology Journal
8
, no.
2
(
2016
): 41–45.
78.
Annis
C.
,
Gandossi
L.
, and
Martin
O.
,
Optimal Sample Size for Probability of Detection Curves
, IAEA-CN-194 (
Vienna, Austria
,
2012
).
79.
Berens
A.
,
NDE Reliability Data Analysis
, Vol.
17
(
Cleveland, OH
:
ASM International
,
1989
).
80.
Rummel
W. D.
, “
Nondestructive Inspection Reliability—History, Status and Future Path
,” in
Proceedings of the 18th World Conference on Nondestructive Testing
(
Durban, South Africa
,
2010
): 608–622.
81.
Tisseur
D.
, “
POD Calculation on a Radiographic Weld Inspection with CIVA 11 RT Module
,” in
Proceedings of the 10th International Conference on NDE in Relation to Structural Integrity for Nuclear and Pressurized Components
(
Cannes, France
:
JRC-EU
,
2013
): 123–129.
82.
Thompson
R. B.
,
Brasche
J. L.
,
Forsyth
D.
,
Lindgren
E.
,
Swindell
E., P.
, and
Winfree
W.
,
Recent Advances in Model-Assisted Probability of Detection
(
Washington, DC
:
NASA
,
2009
).
83.
Calmon
P.
,
Chapuis
B.
,
Jenson
F.
, and
Sjerve
E.
, “
The Use of Simulation in POD Curves Estimation: An Overview of the IIW Best Practices Proposal
,” in
Proceedings of the 19th World Conference on Nondestructive Testing (WCNDT)
, (
Red Hook, NY
:
Curran Associates, Inc.
,
2016
), 3392–3398.
84.
Berens
A. P.
and
Hovey
P.
, “
Statistical Methods for Estimating Crack Detection Probabilities
,” in
Probabilistic Fracture Mechanics and Fatigue Methods: Applications for Structural Design and Maintenance
, ed.
Bloom
J.
and
Ekvall
J.
(
West Conshohocken, PA
:
ASTM International
,
1983
): 79–94.
85.
Department of Defense Handbook
,
MIL-HDBK-1823A: Nondestructive Evaluation System Reliability Assessment
(
Philadelphia, PA
:
Department of Defense
,
2009
).
86.
European Network for Inspection and Qualification
,
European Methodology for Qualification of Non-destructive Testing: Third Issue
, EUR 22906 EN (
Luxembourg
:
European Commission
,
2007
).
87.
DNV-RP-G101,
2010
.
Risk Based Inspection of Offshore Topsides Static Mechanical Equipment
, DNV-RP-G101 (
Høvik , Norway
:
Det Norske Veritas
,
2010
).
88.
Standard Practice for Probability of Detection Analysis for Hit/Miss Data
, ASTM E2862-18 (
West Conshohocken, PA
:
ASTM International
, approved April 5,
2018
).
89.
Standard Practice for Probability of Detection Analysis for â Versus a Data
, ASTM E3023-15 (
West Conshohocken, PA
:
ASTM International
, approved June 15,
2015
).
90.
Child
F. R.
,
Phillips
D. H.
,
Liese
L. W.
and
Rummel
W. D.
, “
Quantitative Assessment of the Detectability of Ceramic Inclusions in Structural Titanium Castings by X-Radiography
,” in
Review of Progress in QNDE
18B (
Boston, MA
:
Springer
,
1999
), 2311–2317.
91.
Hirsch
M.
,
Patel
R.
,
Li
W.
,
Guan
G.
,
Leach
R. K.
,
Sharples
S. D.
, and
Clare
A. T.
, “
Assessing the Capability of In-Situ Nondestructive Analysis during Layer Based Additive Manufacture
,”
Additive Manufacturing
13
(
2017
): 135–142.
92.
Schneider
C. R.
A.
,
Sanderson
R. M.
,
Carpentier
C.
,
Zhao
L.
, and
Nageswaran
C.
, “
Estimation of Probability of Detection Curves Based on Theoretical Simulation of the Inspection Process
” (paper presentation, BINDT Annual Conference,
Cambridge, UK
,
2012
).
93.
Virkkunen
I.
and
Ylitalo
M.
, “
Practical Experiences in POD Determination for Airframe ET Inspection
” (paper presentation, 8th Symposium on NDT in Aerospace,
Bangalore, India
, November 3–5,
2016
).
94.
Generazio
E. R.
,
Binomial Test Method for Determining Probability of Detection Capability for Fracture Critical Applications
, NASA/TP-2011-217176 (
Hampton, VA
:
NASA Langley Research Center
,
2011
).
95.
Generazio
E. R.
,
Interrelationships between Receiver/Relative Operating Characteristics Display, Binomial, Logit, and Bayes' Rule Probability of Detection Methodologies
, NASA/TM–2014-218183 (
Hampton, VA
:
NASA Langley Research Center
,
2014
).
96.
Hartbower
P. E.
and
Stolarski
P. J.
, eds.,
Structural Materials Technology: An NDT Conference
, (
Lancaster, PA
:
Technomic Publishing Company, Inc.
,
1996
).
97.
Waller
J.
,
Wells
D.
,
James
S.
, and
Nichols
C.
,
Additive Manufactured Product Integrity
. NASA NTRS - 2017-0002071- JSC-CN-38994 (
Cape Canaveral, FL
:
NASA
,
2017
).
98.
Kanzler
D.
, “
How Reliable Are the Results of My NDT Process? A Scientific Answer to a Practical Everyday Question
” (paper presentation, ESIS TC24 Workshop: Integrity of Railway Structures,
Wittenberge, Germany
, September 25–26,
2017
).
99.
Kanzler
D.
and
Müller
C.
, “
Evaluating RT Systems with a New POD Approach
” (paper presentation, Nineteenth World Conference on Non-Destructive Testing,
Munich, Germany
, June 13–17,
2016
).
100.
Kanzler
D.
and
Müller
C.
, “
How Much Information Do We Need? A Reflection of the Correct Use of Real Defects in POD-Evaluations
,”
AIP Conference Proceedings
1706
, no.
1
(
2016
): 200008-1–200008-7.
101.
Waller
J.
,
Saulsberry
R.
,
Parker
B.
,
Hodges
K.
,
Burke
E.
, and
Taminger
K.
, “
Summary of NDE of Additive Manufacturing Efforts in NASA
,”
Review of Progress in Quantitative Nondestructive Evaluation
1650
, no.
51
(
2015
): 51–62.
102.
Nondestructive Evaluation Requirements for Fracture-Critical Metallic Components
, NASA-STD-5009 (
Washington, DC
:
NASA Technical Standard
,
2019
).
103.
Li
P.
,
Warner
D. H.
,
Fatemi
A.
, and
Phan
N.
, “
Critical Assessment of the Fatigue Performance of Additively Manufactured Ti–6Al–4V and Perspective for Future Research
,”
International Journal of Fatigue
85
(
2016
): 130–143.
104.
Nicoletto
G.
, “
Anisotropic High Cycle Fatigue Behavior of Ti–6Al–4V Obtained by Powder Bed Laser Fusion
,”
International Journal of Fatigue
94
,
Pt. 2
(
2017
): 255–262.
105.
Greitemeier
D.
,
Palm
F.
,
Syassen
F.
, and
Melz
T.
, “
Fatigue Performance of Additive Manufactured TiAl6V4 Using Electron and Laser Beam Melting
,”
International Journal of Fatigue
94
,
Pt. 2
(
2017
): 211–217.
106.
Beretta
S.
and
Romano
S.
, “
A Comparison of Fatigue Strength Sensitivity to Defects for Materials Manufactured by AM or Traditional Processes
,”
International Journal of Fatigue
94
,
Pt. 2
(
2017
): 178–191.
107.
Russell
R.
,
Wells
D.
,
Waller
J.
,
Poorganji
B.
,
Ott
E.
,
Nakagawa
T.
,
Sandoval
J.
,
Shamsaei
N.
, and
Seifi
M.
, “
Qualification and Certification of Metal Additive Manufactured Hardware for Aerospace Applications
,” in
Additive Manufacturing for the Aerospace Industry
, ed.
Froes
F.
and
Boyer
R.
(
Amsterdam, The Netherlands
:
Elsevier
,
2019
), 33–66.
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