Standard Practice for Extreme Value Analysis of Nonmetallic Inclusions in Steel and Other Microstructural Features

SIGNIFICANCE AND USE
This practice is used to assess the indigenous inclusions or second-phase constituents in metals using extreme value statistics.
It is well known that failures of mechanical components, such as gears and bearings, are often caused by the presence of large nonmetallic oxide inclusions. Failure of a component can often be traced to the presence of a large inclusion. Predictions related to component fatigue life are not possible with the evaluations provided by standards such as Test Methods E 45, Practice E 1122, or Practice E 1245. The use of extreme value statistics has been related to component life and inclusion size distributions by several different investigators (3-8). The purpose of this practice is to create a standardized method of performing this analysis.
This practice is not suitable for assessing the exogenous inclusions in steels and other metals because of the unpredictable nature of the distribution of exogenous inclusions. Other methods involving complete inspection such as ultrasonics must be used to locate their presence.
SCOPE
1.1 This practice describes a methodology to statistically characterize the distribution of the largest indigenous nonmetallic inclusions in steel specimens based upon quantitative metallographic measurements. The practice is not suitable for assessing exogenous inclusions.
1.2 Based upon the statistical analysis, the nonmetallic content of different lots of steels can be compared.
1.3 This practice deals only with the recommended test methods and nothing in it should be construed as defining or establishing limits of acceptability.
1.4 The measured values are stated in SI units. For measurements obtained from light microscopy, linear feature parameters shall be reported as micrometers, and feature areas shall be reported as micrometers.
1.5 The methodology can be extended to other materials and to other microstructural features.
1.6 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory limitations prior to use.

General Information

Status
Historical
Publication Date
14-Dec-2007
Technical Committee
Drafting Committee
Current Stage
Ref Project

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Standards Content (Sample)

Designation:E2283–07
Standard Practice for
Extreme Value Analysis of Nonmetallic Inclusions in Steel
1
and Other Microstructural Features
This standard is issued under the fixed designation E2283; the number immediately following the designation indicates the year of
original adoption or, in the case of revision, the year of last revision.Anumber in parentheses indicates the year of last reapproval.A
superscript epsilon (e) indicates an editorial change since the last revision or reapproval.
1. Scope E883 Guide for Reflected−Light Photomicrography
E1122 Practice for Obtaining JK Inclusion Ratings Using
1.1 This practice describes a methodology to statistically
3
Automatic Image Analysis
characterize the distribution of the largest indigenous nonme-
E1245 Practice for Determining the Inclusion or Second-
tallic inclusions in steel specimens based upon quantitative
Phase Constituent Content of Metals by Automatic Image
metallographic measurements. The practice is not suitable for
Analysis
assessing exogenous inclusions.
1.2 Based upon the statistical analysis, the nonmetallic
3. Terminology
content of different lots of steels can be compared.
3.1 Definitions—For definitions of metallographic terms
1.3 This practice deals only with the recommended test
used in this practice, refer to Terminology,E7; for statistical
methods and nothing in it should be construed as defining or
terms, refer to Terminology E456.
establishing limits of acceptability.
3.2 Definitions of Terms Specific to This Standard:
1.4 The measured values are stated in SI units. For mea-
3.2.1 A—the area of each field of view used by the Image
f
surements obtained from light microscopy, linear feature pa-
Analysis system in performing the measurements.
rameters shall be reported as micrometers, and feature areas
3.2.2 A —controlarea;totalareaobservedononespecimen
o
shall be reported as micrometers.
per polishing plane for the analysis. A is assumed to be 150
o
1.5 Themethodologycanbeextendedtoothermaterialsand
2
mm unless otherwise noted.
to other microstructural features.
3.2.3 N —number of specimens used for the evaluation. N
s s
1.6 This standard does not purport to address all of the
is generally six.
safety concerns, if any, associated with its use. It is the
3.2.4 N —number of planes of polish used for the evalua-
p
responsibility of the user of this standard to establish appro-
tion, generally four.
priate safety and health practices and determine the applica-
3.2.5 N—number of fields observed per specimen plane of
f
bility of regulatory limitations prior to use.
polish.
2. Referenced Documents
A
o
N 5 (1)
2
f
A
2.1 ASTM Standards:
f
E3 Guide for Preparation of Metallographic Specimens
3.2.6 N—total number of inclusion lengths used for the
E7 Terminology Relating to Metallography
analysis, generally 24.
E45 Test Methods for Determining the Inclusion Content
N 5 N · N (2)
s p
of Steel
3.2.7 extreme value distribution—The statistical distribu-
E178 Practice for Dealing With Outlying Observations
tion that is created based upon only measuring the largest
E456 Terminology Relating to Quality and Statistics
4
feature in a given control area or volume (1,2). The continu-
E691 Practice for Conducting an Interlaboratory Study to
ous random variable x has a two parameter (Gumbel) Extreme
Determine the Precision of a Test Method
Value Distribution if the probability density function is given
E768 Guide for Preparing and Evaluating Specimens for
by the following equation:
Automatic Inclusion Assessment of Steel
1 x2l x2l
f x! 5 exp 2 3exp 2exp 2 (3)
~
F S DG F S DG
d d d
1
This practice is under the jurisdiction of ASTM Committee E04 on Metallog-
and the cumulative distribution is given by the following
raphy and is the direct responsibility of Subcommittee E04.09 on Inclusions.
equation:
Current edition approved Dec. 15, 2007. Published February 2008. Originally
approved in 2003 last previous edition approved in 2003 as E2283–03.
2
For referenced ASTM standards, visit the ASTM website, www.astm.org, or
3
contact ASTM Customer Service at service@astm.org. For Annual Book of ASTM Withdrawn.
4
Standards volume information, refer to the standard’s Document Summary page on Theboldfacenumbersinparenthesesrefertothelistofreferencesattheendof
the ASTM website. this standard.
Copyright © ASTM International, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959, United States.
1

---------------------- Page: 1 ----------------------
E2283–07
F~x! 5exp~2exp~2~x2l!/ d!! (4) times larger than A .Thus, T is equal to 1000. By use of Eq 12
o
it would be found that this corresponds to a probability value
As applied to this practice, x, represents the maximum feret
of0.999,(99.9%).SimilarlybyusingEq6and7,thelengthof
diameter, Length, of the largest inclusion in each control area,
an inclusion corresponding to the 99.99% probability value
A , letting:
o
couldbecalculated.Mathematically,anotherexpressionforthe
x2l
return period is:
y 5 (5)
d
A
ref
it follows
...

This document is not anASTM standard and is intended only to provide the user of anASTM standard an indication of what changes have been made to the previous version. Because
it may not be technically possible to adequately depict all changes accurately, ASTM recommends that users consult prior editions as appropriate. In all cases only the current version
of the standard as published by ASTM is to be considered the official document.
Designation:E2283–03 Designation:E2283–07
Standard Practice for
Extreme Value Analysis of Nonmetallic Inclusions in Steel
1
and Other Microstructural Features
This standard is issued under the fixed designation E2283; the number immediately following the designation indicates the year of
original adoption or, in the case of revision, the year of last revision.Anumber in parentheses indicates the year of last reapproval.A
superscript epsilon (e) indicates an editorial change since the last revision or reapproval.
1. Scope
1.1 This practice describes a methodology to statistically characterize the distribution of the largest indigenous nonmetallic
inclusions in steel specimens based upon quantitative metallographic measurements. The practice is not suitable for assessing
exogenous inclusions.
1.2 Based upon the statistical analysis, the nonmetallic content of different lots of steels can be compared.
1.3 Thispracticedealsonlywiththerecommendedtestmethodsandnothinginitshouldbeconstruedasdefiningorestablishing
limits of acceptability.
1.4 The measured values are stated in SI units. For measurements obtained from light microscopy, linear feature parameters
shall be reported as micrometers, and feature areas shall be reported as micrometers.
1.5 The methodology can be extended to other materials and to other microstructural features.
1.6 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility
of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory
limitations prior to use.
2. Referenced Documents
2
2.1 ASTM Standards:
E3Methods of Preparation of Metallographic Specimens Guide for Preparation of Metallographic Specimens
E7 Terminology Relating to Metallography
E45 Test Methods for Determining the Inclusion Content of Steel
E178 Practice for Dealing withWith Outlying Observations
E456 Terminology Relating to Quality and Statistics
E691 Practice for Conducting an Interlaboratory Study to Determine the Precision of a Test Method
E768Practice Guide for Preparing and Evaluating Specimens for Automatic Inclusion Assessment of Steel
E883Guide for Reflected-Light Photomicrography 883 Guide for ReflectedLight Photomicrography
E1122 Practice for Obtaining JK Inclusion Ratings Using Automatic Image Analysis
E1245 Practice for Determining the Inclusion Content or Second-Phase Constituent Content of Metals by Automatic Image
Analysis
3. Terminology
3.1 Definitions—For definitions of metallographic terms used in this practice, refer to Terminology, E7; for statistical terms,
refer to Terminology E456.
3.2 Definitions of Terms Specific to This Standard:
3.2.1 A— the area of each field of view used by the Image Analysis system in performing the measurements.
f
2
3.2.2 A — control area; total area observed on one specimen per polishing plane for the analysis. A is assumed to be 150 mm
o o
unless otherwise noted.
3.2.3 N — number of specimens used for the evaluation. N is generally six.
s s
3.2.4 N — number of planes of polish used for the evaluation, generally four.
p
3.2.5 N— number of fields observed per specimen plane of polish.
f
1
This practice is under the jurisdiction of ASTM Committee E04 on Metallography and is the direct responsibility of Subcommittee E04.09 on Inclusions .
Current edition approved Nov. 1. 2003. Published December 2003.
Current edition approved Dec. 15, 2007. Published February 2008. Originally approved in 2003 last previous edition approved in 2003 as E2283–03.
2
ForreferencedASTMstandards,visittheASTMwebsite,www.astm.org,orcontactASTMCustomerServiceatservice@astm.org.For Annual Book of ASTM Standards
volume information, refer to the standard’s Document Summary page on the ASTM website.
Copyright © ASTM International, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959, United States.
1

---------------------- Page: 1 ----------------------
E2283–07
A
o
N 5 (1)
f
A
f
3.2.6 N—total number of inclusion lengths used for the analysis, generally 24.
N 5 N · N (2)
s p
3.2.7 extreme value distribution—The statistical distribution that is created based upon only measuring the largest feature in a
3
given control area or volume (1,2). The continuous random variable x has a two parameter (Gumbel) ExtremeValue Distribution
if the probability density function is given by the following equation:
1 x2l x2l
f x! 5 exp 2 3exp 2exp 2 (3)
~
F S DG F S DG
d d d
and the cumulative distribution is given by the following equation:
F x 5exp 2e
...

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