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Estimation of maximum inclusion by statistics of extreme values method in bearing steel
by
Dong, Han
, Liu, Jian-hui
, Lu, Heng-chang
, Tian, Chao
in
Applied and Technical Physics
/ Bearing steels
/ Engineering
/ Extreme values
/ GCr15
/ Gumbel distribution function
/ Inclusions
/ Inspection
/ Likelihood function estimation
/ Machines
/ Manufacturing
/ Materials Engineering
/ Materials Science
/ Metallic Materials
/ Nonmetallic inclusion
/ Physical Chemistry
/ Processes
/ Scanning electron microscopy
/ Statistical analysis
/ Statistics of extreme values
2017
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Estimation of maximum inclusion by statistics of extreme values method in bearing steel
by
Dong, Han
, Liu, Jian-hui
, Lu, Heng-chang
, Tian, Chao
in
Applied and Technical Physics
/ Bearing steels
/ Engineering
/ Extreme values
/ GCr15
/ Gumbel distribution function
/ Inclusions
/ Inspection
/ Likelihood function estimation
/ Machines
/ Manufacturing
/ Materials Engineering
/ Materials Science
/ Metallic Materials
/ Nonmetallic inclusion
/ Physical Chemistry
/ Processes
/ Scanning electron microscopy
/ Statistical analysis
/ Statistics of extreme values
2017
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Do you wish to request the book?
Estimation of maximum inclusion by statistics of extreme values method in bearing steel
by
Dong, Han
, Liu, Jian-hui
, Lu, Heng-chang
, Tian, Chao
in
Applied and Technical Physics
/ Bearing steels
/ Engineering
/ Extreme values
/ GCr15
/ Gumbel distribution function
/ Inclusions
/ Inspection
/ Likelihood function estimation
/ Machines
/ Manufacturing
/ Materials Engineering
/ Materials Science
/ Metallic Materials
/ Nonmetallic inclusion
/ Physical Chemistry
/ Processes
/ Scanning electron microscopy
/ Statistical analysis
/ Statistics of extreme values
2017
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Estimation of maximum inclusion by statistics of extreme values method in bearing steel
Journal Article
Estimation of maximum inclusion by statistics of extreme values method in bearing steel
2017
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Overview
A statistic method, statistics of extreme values (SEV), was described in detail, which can esti mate the size of maximum inclusion in steel. The characteristic size of the maximum inclusion in a high clean bearing steel (GCrl5) was evaluated by this method, and the morphology and corn position of large inclusions found were analyzed by scanning electron microscopy (SEM). When standard inspection area (S0) is 280 mm2, the characteristic size of the biggest inclusion found in 30 standard inspection area is 23.93 μm, and it has a 99.9% probability of the characteristic size of maximum inclusion predicted being no larger than 36.85μm in the experimental steel. SEM result shows that large inclusions found are mainly composed of CaS, calcium-aluminate and MgO. Compositing widely exists in large inclusions in high clean bearing steel. Compared with traditional evaluation method, SEV method mainly focuses on inclusion size, and the esti- mation result is not affected by inclusion types. SEV method is suitable for the inclusion eval uation of high clean bearing steel.
Publisher
Elsevier Ltd,Springer Singapore,Springer Nature B.V
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