基于X射线显微CT的合金钢中夹杂物的定量三维表征

doi:10.3976/j.issn.1002-4026.2023.03.007

Abstract

Abstract:

Inclusions have an impact on the fatigue strength and fatigue life of steel, but inclusions in large samples cannot be accurately imaged using X-ray micro computer tomo-graphy(X-ray micro-CT). This study provides a novel approach to obtain the three-dimensional morphology of inclusions in large steel samples. To realize the three-dimensional features of inclusions in large alloy samples, this study used a nonaqueous electrolysis method to obtain inclusions; then scanning electron microscopy was performed to observe and analyze the electrolyzed inclusions.Furthermore, the electrolyzed inclusions were aggregated into cylindrical samples and finally scanned with X-ray micro-CT to obtain their three-dimensional information, and the obtained dimensional data of the inclusions were statistically analyzed.

Key words: inclusions, micro computer tomo-graphy, scanning electron microscopy, nonaqueous electrolysis

CLC Number:

TG142.1

SUN Fei, MENG Genglong, TIAN Linan, LI Qiumeng, LI Nan, LIU Long. Three-dimensional characterization of inclusions in alloy steel using X-ray micro-CT computer tomo-graphy[J].Shandong Science, 2023, 36(3): 53-59.

Figures/Tables 9

Table 1

Fig.1

Fig.2

Fig.3

Fig.4

Table 2

Parameters describing the three-dimensional size and structure of inclusions"

类型	参数	定义
大小	$d 1$	最小3D费雷特直径
	$d 2$	最大3D费雷特直径
	$d a v e$	平均直径
	$V$	粒子体积
	S	粒子表面积
结构	$D f, a v e$	平均分形维数 $D f, a v e = l o g d a v e 6 V / π$
	$D f, m a x$	最大分形维数 $D f, m a x = l o g d 1 6 V / π$
	$φ$	形状因子 $φ = S 3 36 π V 2$
	$D e q$	等效直径 $D e q = 6 V / π 3$

Table 2

Fig.5

Fig.6

Fig.7

References 27

[1]	GUPTA A, GOYAL S, PADMANABHAN K A, et al. Inclusions in steel: Micro-macro modelling approach to analyse the effects of inclusions on the properties of steel[J]. The International Journal of Advanced Manufacturing Technology, 2015, 77(1): 565-572. DOI: 10.1007/s00170-014-6464-5. doi: 10.1007/s00170-014-6464-5
[2]	SCHMIEDT A B, DICKERT H H, BLECK W, et al. Evaluation of maximum non-metallic inclusion sizes in engineering steels by fitting a generalized extreme value distribution based on vectors of largest observations[J]. Acta Materialia, 2015, 95: 1-9. DOI: 10.1016/j.actamat.2015.05.013. doi: 10.1016/j.actamat.2015.05.013
[3]	PINEAU A, FOREST S. Effects of inclusions on the very high cycle fatigue behaviour of steels[J]. Fatigue & Fracture of Engineering Materials & Structures, 2017, 40(11): 1694-1707. DOI: 10.1111/ffe.12649. doi: 10.1111/ffe.12649
[4]	TOFIQUE M W, BERGSTRÖM J, BURMAN C. Very high cycle fatigue of cold rolled stainless steels, crack initiation and formation of the fine granular area[J]. International Journal of Fatigue, 2017, 100: 238-250. DOI: 10.1016/j.ijfatigue.2017.03.037. doi: 10.1016/j.ijfatigue.2017.03.037
[5]	EL KHOUKHI D, MOREL F, SAINTIER N, et al. Probabilistic modeling of the size effect and scatter in High Cycle Fatigue using a Monte-Carlo approach: Role of the defect population in cast aluminum alloys[J]. International Journal of Fatigue, 2021, 147: 106177. DOI: 10.1016/j.ijfatigue.2021.106177. doi: 10.1016/j.ijfatigue.2021.106177
[6]	FRANCESCHINI A, RUBY-MEYER F, MIDROIT F, et al. An assessment of cleanliness techniques for low alloyed steel grades[J]. Metallurgical Research & Technology, 2019, 116(5): 509. DOI: 10.1051/metal/2018128. doi: 10.1051/metal/2018128
[7]	WANG Y, KARASEV A, JÖNSSON P G. Comparison of nonmetallic inclusion characteristics in metal samples using 2D and 3D methods[J]. Steel Research International, 2020, 91(7): 1900669. DOI: 10.1002/srin.201900669. doi: 10.1002/srin.201900669
[8]	TIAN C, LIU J H, LU H C, et al. Estimation of maximum inclusion by statistics of extreme values method in bearing steel[J]. Journal of Iron and Steel Research, International, 2017, 24(11): 1131-1136. DOI: 10.1016/S1006-706X(17)30164-4. doi: 10.1016/S1006-706X(17)30164-4
[9]	VAARA J, VÄNTÄNEN M, KÄMÄRÄINEN P, et al. Bayesian analysis of critical fatigue failure sources[J]. International Journal of Fatigue, 2020, 130: 105282. DOI: 10.1016/j.ijfatigue.2019.105282. doi: 10.1016/j.ijfatigue.2019.105282
[10]	KUMAR D, NUHFER N T, FERREIRA M E, et al. Application of plasma FIB to analyze a single oxide inclusion in steel[J]. Metallurgical and Materials Transactions B, 2019, 50(3): 1124-1127. DOI: 10.1007/s11663-019-01555-7. doi: 10.1007/s11663-019-01555-7
[11]	LI T, SHIMASAKI S I, TANIGUCHI S, et al. Reliability of inclusion statistics in steel by stereological methods[J]. ISIJ International, 2016, 56(9): 1625-1633. DOI: 10.2355/isijinternational.isijint-2016-269. doi: 10.2355/isijinternational.isijint-2016-269
[12]	YOSHINAKA F, NAKAMURA T, TAKEUCHI A, et al. Initiation and growth behaviour of small internal fatigue cracks in Ti-6Al-4V via synchrotron radiation microcomputed tomography[J]. Fatigue & Fracture of Engineering Materials & Structures, 2019, 42(9): 2093-2105. DOI: 10.1111/ffe.13085. doi: 10.1111/ffe.13085
[13]	STIÉNON A, FAZEKAS A, BUFFIÈRE J Y, et al. A new methodology based on X-ray micro-tomo-graphy to estimate stress concentrations around inclusions in high strength steels[J]. Materials Science and Engineering: A, 2009, 513/514: 376-383. DOI: 10.1016/j.msea.2009.02.008. doi: 10.1016/j.msea.2009.02.008
[14]	LI T, SHIMASAKI S I, TANIGUCHI S, et al. Morphology of nonmetallic-inclusion clusters observed in molten metal by X-ray micro-computed tomography (CT)[J]. ISIJ International, 2013, 53(11): 1943-1952. DOI: 10.2355/isijinternational.53.1943. doi: 10.2355/isijinternational.53.1943
[15]	CUI L X, LEI X H, ZHANG L F, et al. Three-dimensional characterization of defects in continuous casting blooms of heavy rail steel using X-ray computed tomography[J]. Metallurgical and Materials Transactions B, 2021, 52(4): 2327-2340. DOI: 10.1007/s11663-021-02172-z. doi: 10.1007/s11663-021-02172-z
[16]	YAN J C, LI T, SHANG Z Q, et al. Three-dimensional characterization of MnS inclusions in steel during rolling process[J]. Materials Characterization, 2019, 158: 109944. DOI: 10.1016/j.matchar.2019.109944. doi: 10.1016/j.matchar.2019.109944
[17]	GU C, LU Y, LUO A A. Three-dimensional visualization and quantification of microporosity in aluminum castings by X-ray micro-computed tomography[J]. Journal of Materials Science & Technology, 2021, 65: 99-107. DOI: 10.1016/j.jmst.2020.03.088. doi: 10.1016/j.jmst.2020.03.088
[18]	CHENG M, LU Z G, WU J, et al. Effect of thermal induced porosity on high-cycle fatigue and very high-cycle fatigue behaviors of hot-isostatic-pressed Ti-6Al-4V powder components[J]. Journal of Materials Science & Technology, 2022, 98: 177-185. DOI: 10.1016/j.jmst.2021.04.066. doi: 10.1016/j.jmst.2021.04.066
[19]	WANG C, LIU X G, GUI J T, et al. Influence of inclusions on matrix deformation and fracture behavior based on Gurson-Tvergaard-Needleman damage model[J]. Materials Science and Engineering: A, 2019, 756: 405-416. DOI: 10.1016/j.msea.2019.04.056. doi: 10.1016/j.msea.2019.04.056
[20]	WANG Y, KARASEV A, JÖNSSON P G. Comparison of nonmetallic inclusion characteristics in metal samples using 2D and 3D methods[J]. Steel Research International, 2020, 91(7): 1900669. DOI: 10.1002/srin.201900669. doi: 10.1002/srin.201900669
[21]	MURAKAMI Y, NOMOTO T, UEDA T, et al. On the mechanism of fatigue failure in the superlong life regime (N>107 cycles). Part 1: Influence of hydrogen trapped by inclusions[J]. Fatigue & Fracture of Engineering Materials and Structures, 2000, 23(11): 893-902. DOI: 10.1046/j.1460-2695.2000.00328.x. doi: 10.1046/j.1460-2695.2000.00328.x
[22]	VAARA J, VÄNTÄNEN M, KÄMÄRÄINEN P, et al. Bayesian analysis of critical fatigue failure sources[J]. International Journal of Fatigue, 2020, 130: 105282. DOI: 10.1016/j.ijfatigue.2019.105282. doi: 10.1016/j.ijfatigue.2019.105282
[23]	杨文, 张立峰, 任英, 等. 利用高分辨同步辐射Micro-CT定量三维表征含Ti铁素体不锈钢铸坯中氧化物夹杂[J]. 金属学报, 2016, 52(2): 217-223. DOI: 10.11900/0412.1961.2015.00226 doi: 10.11900/0412.1961.2015.00226
[24]	乔万兵, 肖梦旋, 刘鹏, 等. 低碳钢中夹杂物的非水溶液电解分析[J]. 冶金工程, 2019, 6(2): 98-105.DOI:10.12677/meng.2019.62014. doi: 10.12677/meng.2019.62014
[25]	LI T, SHIMASAKI S I, TANIGUCHI S, et al. Three-dimensional observation of nonmetallic inclusion clusters in solid metal by X-ray micro-CT[J]. ISIJ International, 2016, 56(11): 1989-1995. DOI: 10.2355/isijinternational.isijint-2016-218. doi: 10.2355/isijinternational.isijint-2016-218
[26]	SAYYED M I, AKMAN F, GEÇIBESLER I H, et al. Measurement of mass attenuation coefficients, effective atomic numbers, and electron densities for different parts of medicinal aromatic plants in low-energy region[J]. Nuclear Science and Techniques, 2018, 29(10): 144. DOI: 10.1007/s41365-018-0475-0. doi: 10.1007/s41365-018-0475-0
[27]	SHANG Z Q, LI T, YANG S F, et al. Three-dimensional characterization of typical inclusions in steel by X-ray Micro-CT[J]. Journal of Materials Research and Technology, 2020, 9(3): 3686-3698. DOI: 10.1016/j.jmrt.2020.01.106. doi: 10.1016/j.jmrt.2020.01.106

Three-dimensional characterization of inclusions in alloy steel using X-ray micro-CT computer tomo-graphy

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