ASTM E2283-08(2014)
Standard Practice for Extreme Value Analysis of Nonmetallic Inclusions in Steel and Other Microstructural Features
- Standard No.
- ASTM E2283-08(2014)
- Release Date
- 2008
- Published By
- American Society for Testing and Materials (ASTM)
- Status
- Replace By
- ASTM E2283-08(2019)
- Latest
- ASTM E2283-08(2019)
- Scope
5.1 This practice is used to assess the indigenous inclusions or second-phase constituents in metals using extreme value statistics.
5.2 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 E45, Practice E1122, or Practice E1245. 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.
5.3 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.
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.
ASTM E2283-08(2014) Referenced Document
- ASTM E1122 Standard Practice for Obtaining JK Inclusion Ratings Using Automatic Image Analysis
- ASTM E1245 Standard Practice for Determining the Inclusion or Second-Phase Constituent Content of Metals by Automatic Image Analysis
- ASTM E178 Standard Practice for Dealing With Outlying Observations
- ASTM E3 Standard Practice for Preparation of Metallographic Specimens
- ASTM E45 Standard Test Methods for Determining the Inclusion Content of Steel
- ASTM E456 Standard Terminology for Relating to Quality and Statistics
- ASTM E691 Standard Practice for Conducting an Interlaboratory Study to Determine the Precision of a Test Method
- ASTM E7 Standard Terminology Relating to Metallography
- ASTM E768 Standard Guide for Preparing and Evaluating Specimens for Automatic Inclusion Assessment of Steel
ASTM E2283-08(2014) history
- 2019 ASTM E2283-08(2019) Standard Practice for Extreme Value Analysis of Nonmetallic Inclusions in Steel and Other Microstructural Features
- 2008 ASTM E2283-08(2014) Standard Practice for Extreme Value Analysis of Nonmetallic Inclusions in Steel and Other Microstructural Features
- 2008 ASTM E2283-08 Standard Practice for Extreme Value Analysis of Nonmetallic Inclusions in Steel and Other Microstructural Features
- 2007 ASTM E2283-07 Standard Practice for Extreme Value Analysis of Nonmetallic Inclusions in Steel and Other Microstructural Features
- 2003 ASTM E2283-03 Standard Practice for Extreme Value Analysis of Nonmetallic Inclusions in Steel and Other Microstructural Features
