Fatigue behavior of an Fe48Cr15Mo14Er2C15B6 amorphous steel View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2007-02

AUTHORS

D.C. Qiao, G.Y. Wang, P.K. Liaw, V. Ponnambalam, S.J. Poon, G.J. Shiflet

ABSTRACT

Four-point-bend fatigue experiments were conducted on the Fe 48 Cr 15 Mo 14 Er 2 C 15 B 6 bulk metallic glass (BMG), amorphous steel, under load control, employing an electrohydraulic machine, at a frequency of 10 Hz (using a sinusoidal waveform) with an R ratio of 0.1, where R = σ min. /σ max. (σ min. and σ max. are the applied minimum and maximum stresses, respectively). The test environment was laboratory air. Fe 48 Cr 15 Mo 14 Er 2 C 15 B 6 exhibited a high fatigue-endurance limit (682 MPa), which is found to be greater than those of the Zr-based BMG, Al-alloy, and high-nitrogen steel. However, the stress versus number of fatigue cycles curve of Fe 48 Cr 15 Mo 14 Er 2 C 15 B 6 has a significantly brittle fracture mode. Some fatigue cracks initiated from the inclusions or porosities, and the fatigue-crack propagation region was large. However, other cracks initiated from the outer tensile surface of the specimen, and the fatigue-crack propagation region was very small. The mechanisms of fatigue-crack initiation are suggested. More... »

PAGES

544-550

Identifiers

URI

http://scigraph.springernature.com/pub.10.1557/jmr.2007.0047

DOI

http://dx.doi.org/10.1557/jmr.2007.0047

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1031744226


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0912", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Materials Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Materials Science and Engineering, University of Tennessee, Knoxville, Tennessee 37996-0100", 
          "id": "http://www.grid.ac/institutes/grid.411461.7", 
          "name": [
            "Department of Materials Science and Engineering, University of Tennessee, Knoxville, Tennessee 37996-0100"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Qiao", 
        "givenName": "D.C.", 
        "id": "sg:person.012517571057.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012517571057.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Materials Science and Engineering, University of Tennessee, Knoxville, Tennessee 37996-0100", 
          "id": "http://www.grid.ac/institutes/grid.411461.7", 
          "name": [
            "Department of Materials Science and Engineering, University of Tennessee, Knoxville, Tennessee 37996-0100"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "G.Y.", 
        "id": "sg:person.016121311161.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016121311161.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Materials Science and Engineering, University of Tennessee, Knoxville, Tennessee 37996-0100", 
          "id": "http://www.grid.ac/institutes/grid.411461.7", 
          "name": [
            "Department of Materials Science and Engineering, University of Tennessee, Knoxville, Tennessee 37996-0100"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liaw", 
        "givenName": "P.K.", 
        "id": "sg:person.01315544034.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315544034.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Physics, University of Virginia, Charlottesville, Virginia 22904-4714", 
          "id": "http://www.grid.ac/institutes/grid.27755.32", 
          "name": [
            "Department of Physics, University of Virginia, Charlottesville, Virginia 22904-4714"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ponnambalam", 
        "givenName": "V.", 
        "id": "sg:person.013435666533.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013435666533.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Physics, University of Virginia, Charlottesville, Virginia 22904-4714", 
          "id": "http://www.grid.ac/institutes/grid.27755.32", 
          "name": [
            "Department of Physics, University of Virginia, Charlottesville, Virginia 22904-4714"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Poon", 
        "givenName": "S.J.", 
        "id": "sg:person.010252015157.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010252015157.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Materials Science and Engineering, University of Virginia, Charlottesville, Virginia 22904-4745", 
          "id": "http://www.grid.ac/institutes/grid.27755.32", 
          "name": [
            "Department of Materials Science and Engineering, University of Virginia, Charlottesville, Virginia 22904-4745"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shiflet", 
        "givenName": "G.J.", 
        "id": "sg:person.015100642757.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015100642757.27"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1557/jmr.2004.0176", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040590901", 
          "https://doi.org/10.1557/jmr.2004.0176"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1557/jmr.2003.0058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026111509", 
          "https://doi.org/10.1557/jmr.2003.0058"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1557/jmr.2004.0374", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045703621", 
          "https://doi.org/10.1557/jmr.2004.0374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00588291", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011814975", 
          "https://doi.org/10.1007/bf00588291"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11661-998-0004-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009346214", 
          "https://doi.org/10.1007/s11661-998-0004-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1557/jmr.2005.0104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017871956", 
          "https://doi.org/10.1557/jmr.2005.0104"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1557/jmr.2003.0205", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042557753", 
          "https://doi.org/10.1557/jmr.2003.0205"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2007-02", 
    "datePublishedReg": "2007-02-01", 
    "description": " Four-point-bend fatigue experiments were conducted on the Fe 48 Cr 15 Mo 14 Er 2 C 15 B 6 bulk metallic glass (BMG), amorphous steel, under load control, employing an electrohydraulic machine, at a frequency of 10 Hz (using a sinusoidal waveform) with an R ratio of 0.1, where R = \u03c3 min. /\u03c3 max. (\u03c3 min. and \u03c3 max. are the applied minimum and maximum stresses, respectively). The test environment was laboratory air. Fe 48 Cr 15 Mo 14 Er 2 C 15 B 6 exhibited a high fatigue-endurance limit (682 MPa), which is found to be greater than those of the Zr-based BMG, Al-alloy, and high-nitrogen steel. However, the stress versus number of fatigue cycles curve of Fe 48 Cr 15 Mo 14 Er 2 C 15 B 6 has a significantly brittle fracture mode. Some fatigue cracks initiated from the inclusions or porosities, and the fatigue-crack propagation region was large. However, other cracks initiated from the outer tensile surface of the specimen, and the fatigue-crack propagation region was very small. The mechanisms of fatigue-crack initiation are suggested. ", 
    "genre": "article", 
    "id": "sg:pub.10.1557/jmr.2007.0047", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1357547", 
        "issn": [
          "0884-2914", 
          "2044-5326"
        ], 
        "name": "Journal of Materials Research", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "22"
      }
    ], 
    "keywords": [
      "amorphous steel", 
      "higher fatigue endurance limit", 
      "brittle fracture mode", 
      "Four-point-bend fatigue experiments", 
      "Fatigue Crack Initiation", 
      "propagation region", 
      "fatigue endurance limit", 
      "high nitrogen steel", 
      "bulk metallic glass", 
      "fatigue behavior", 
      "fracture mode", 
      "fatigue cracks", 
      "tensile surface", 
      "fatigue experiments", 
      "Al alloy", 
      "load control", 
      "electrohydraulic machine", 
      "laboratory air", 
      "metallic glasses", 
      "steel", 
      "cycle curve", 
      "\u03c3 min", 
      "cracks", 
      "R ratio", 
      "test environment", 
      "porosity", 
      "air", 
      "glass", 
      "Zr", 
      "surface", 
      "Hz", 
      "specimen", 
      "machine", 
      "mode", 
      "stress", 
      "behavior", 
      "ratio", 
      "experiments", 
      "frequency", 
      "curves", 
      "limit", 
      "region", 
      "environment", 
      "control", 
      "min", 
      "mechanism", 
      "max", 
      "inclusion", 
      "number", 
      "initiation"
    ], 
    "name": "Fatigue behavior of an Fe48Cr15Mo14Er2C15B6 amorphous steel", 
    "pagination": "544-550", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1031744226"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1557/jmr.2007.0047"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1557/jmr.2007.0047", 
      "https://app.dimensions.ai/details/publication/pub.1031744226"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-10-01T06:34", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_440.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1557/jmr.2007.0047"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1557/jmr.2007.0047'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1557/jmr.2007.0047'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1557/jmr.2007.0047'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1557/jmr.2007.0047'


 

This table displays all metadata directly associated to this object as RDF triples.

175 TRIPLES      21 PREDICATES      82 URIs      67 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1557/jmr.2007.0047 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N5cd3bf7c5a7f426e9f9b65f0e75371cd
4 schema:citation sg:pub.10.1007/bf00588291
5 sg:pub.10.1007/s11661-998-0004-6
6 sg:pub.10.1557/jmr.2003.0058
7 sg:pub.10.1557/jmr.2003.0205
8 sg:pub.10.1557/jmr.2004.0176
9 sg:pub.10.1557/jmr.2004.0374
10 sg:pub.10.1557/jmr.2005.0104
11 schema:datePublished 2007-02
12 schema:datePublishedReg 2007-02-01
13 schema:description Four-point-bend fatigue experiments were conducted on the Fe 48 Cr 15 Mo 14 Er 2 C 15 B 6 bulk metallic glass (BMG), amorphous steel, under load control, employing an electrohydraulic machine, at a frequency of 10 Hz (using a sinusoidal waveform) with an R ratio of 0.1, where R = σ min. /σ max. (σ min. and σ max. are the applied minimum and maximum stresses, respectively). The test environment was laboratory air. Fe 48 Cr 15 Mo 14 Er 2 C 15 B 6 exhibited a high fatigue-endurance limit (682 MPa), which is found to be greater than those of the Zr-based BMG, Al-alloy, and high-nitrogen steel. However, the stress versus number of fatigue cycles curve of Fe 48 Cr 15 Mo 14 Er 2 C 15 B 6 has a significantly brittle fracture mode. Some fatigue cracks initiated from the inclusions or porosities, and the fatigue-crack propagation region was large. However, other cracks initiated from the outer tensile surface of the specimen, and the fatigue-crack propagation region was very small. The mechanisms of fatigue-crack initiation are suggested.
14 schema:genre article
15 schema:isAccessibleForFree false
16 schema:isPartOf N6abf15d671ed40cfa930020918400db2
17 Nfa2d601772a941249bd320de564ee75c
18 sg:journal.1357547
19 schema:keywords Al alloy
20 Fatigue Crack Initiation
21 Four-point-bend fatigue experiments
22 Hz
23 R ratio
24 Zr
25 air
26 amorphous steel
27 behavior
28 brittle fracture mode
29 bulk metallic glass
30 control
31 cracks
32 curves
33 cycle curve
34 electrohydraulic machine
35 environment
36 experiments
37 fatigue behavior
38 fatigue cracks
39 fatigue endurance limit
40 fatigue experiments
41 fracture mode
42 frequency
43 glass
44 high nitrogen steel
45 higher fatigue endurance limit
46 inclusion
47 initiation
48 laboratory air
49 limit
50 load control
51 machine
52 max
53 mechanism
54 metallic glasses
55 min
56 mode
57 number
58 porosity
59 propagation region
60 ratio
61 region
62 specimen
63 steel
64 stress
65 surface
66 tensile surface
67 test environment
68 σ min
69 schema:name Fatigue behavior of an Fe48Cr15Mo14Er2C15B6 amorphous steel
70 schema:pagination 544-550
71 schema:productId N54bd345a88ba431db04a7c44bc024981
72 Nbab4049287144238a0cf24d8de94b1f0
73 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031744226
74 https://doi.org/10.1557/jmr.2007.0047
75 schema:sdDatePublished 2022-10-01T06:34
76 schema:sdLicense https://scigraph.springernature.com/explorer/license/
77 schema:sdPublisher N64617b9a325b4e3db7bfe73a3f76bf46
78 schema:url https://doi.org/10.1557/jmr.2007.0047
79 sgo:license sg:explorer/license/
80 sgo:sdDataset articles
81 rdf:type schema:ScholarlyArticle
82 N050766bf9c144ae094121d8de3175228 rdf:first sg:person.013435666533.10
83 rdf:rest N7b920ac1b69b4076b4cdc15c6bd289ee
84 N15e1ff1ba8df44e6af5124d65a756681 rdf:first sg:person.016121311161.39
85 rdf:rest N48bf6fab095c41d8868e1f8f7bca5881
86 N16c32ffd7b7248d0b062c8ee1d0d3237 rdf:first sg:person.015100642757.27
87 rdf:rest rdf:nil
88 N48bf6fab095c41d8868e1f8f7bca5881 rdf:first sg:person.01315544034.40
89 rdf:rest N050766bf9c144ae094121d8de3175228
90 N54bd345a88ba431db04a7c44bc024981 schema:name doi
91 schema:value 10.1557/jmr.2007.0047
92 rdf:type schema:PropertyValue
93 N5cd3bf7c5a7f426e9f9b65f0e75371cd rdf:first sg:person.012517571057.36
94 rdf:rest N15e1ff1ba8df44e6af5124d65a756681
95 N64617b9a325b4e3db7bfe73a3f76bf46 schema:name Springer Nature - SN SciGraph project
96 rdf:type schema:Organization
97 N6abf15d671ed40cfa930020918400db2 schema:issueNumber 2
98 rdf:type schema:PublicationIssue
99 N7b920ac1b69b4076b4cdc15c6bd289ee rdf:first sg:person.010252015157.28
100 rdf:rest N16c32ffd7b7248d0b062c8ee1d0d3237
101 Nbab4049287144238a0cf24d8de94b1f0 schema:name dimensions_id
102 schema:value pub.1031744226
103 rdf:type schema:PropertyValue
104 Nfa2d601772a941249bd320de564ee75c schema:volumeNumber 22
105 rdf:type schema:PublicationVolume
106 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
107 schema:name Engineering
108 rdf:type schema:DefinedTerm
109 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
110 schema:name Materials Engineering
111 rdf:type schema:DefinedTerm
112 sg:journal.1357547 schema:issn 0884-2914
113 2044-5326
114 schema:name Journal of Materials Research
115 schema:publisher Springer Nature
116 rdf:type schema:Periodical
117 sg:person.010252015157.28 schema:affiliation grid-institutes:grid.27755.32
118 schema:familyName Poon
119 schema:givenName S.J.
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010252015157.28
121 rdf:type schema:Person
122 sg:person.012517571057.36 schema:affiliation grid-institutes:grid.411461.7
123 schema:familyName Qiao
124 schema:givenName D.C.
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012517571057.36
126 rdf:type schema:Person
127 sg:person.01315544034.40 schema:affiliation grid-institutes:grid.411461.7
128 schema:familyName Liaw
129 schema:givenName P.K.
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315544034.40
131 rdf:type schema:Person
132 sg:person.013435666533.10 schema:affiliation grid-institutes:grid.27755.32
133 schema:familyName Ponnambalam
134 schema:givenName V.
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013435666533.10
136 rdf:type schema:Person
137 sg:person.015100642757.27 schema:affiliation grid-institutes:grid.27755.32
138 schema:familyName Shiflet
139 schema:givenName G.J.
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015100642757.27
141 rdf:type schema:Person
142 sg:person.016121311161.39 schema:affiliation grid-institutes:grid.411461.7
143 schema:familyName Wang
144 schema:givenName G.Y.
145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016121311161.39
146 rdf:type schema:Person
147 sg:pub.10.1007/bf00588291 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011814975
148 https://doi.org/10.1007/bf00588291
149 rdf:type schema:CreativeWork
150 sg:pub.10.1007/s11661-998-0004-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009346214
151 https://doi.org/10.1007/s11661-998-0004-6
152 rdf:type schema:CreativeWork
153 sg:pub.10.1557/jmr.2003.0058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026111509
154 https://doi.org/10.1557/jmr.2003.0058
155 rdf:type schema:CreativeWork
156 sg:pub.10.1557/jmr.2003.0205 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042557753
157 https://doi.org/10.1557/jmr.2003.0205
158 rdf:type schema:CreativeWork
159 sg:pub.10.1557/jmr.2004.0176 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040590901
160 https://doi.org/10.1557/jmr.2004.0176
161 rdf:type schema:CreativeWork
162 sg:pub.10.1557/jmr.2004.0374 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045703621
163 https://doi.org/10.1557/jmr.2004.0374
164 rdf:type schema:CreativeWork
165 sg:pub.10.1557/jmr.2005.0104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017871956
166 https://doi.org/10.1557/jmr.2005.0104
167 rdf:type schema:CreativeWork
168 grid-institutes:grid.27755.32 schema:alternateName Department of Materials Science and Engineering, University of Virginia, Charlottesville, Virginia 22904-4745
169 Department of Physics, University of Virginia, Charlottesville, Virginia 22904-4714
170 schema:name Department of Materials Science and Engineering, University of Virginia, Charlottesville, Virginia 22904-4745
171 Department of Physics, University of Virginia, Charlottesville, Virginia 22904-4714
172 rdf:type schema:Organization
173 grid-institutes:grid.411461.7 schema:alternateName Department of Materials Science and Engineering, University of Tennessee, Knoxville, Tennessee 37996-0100
174 schema:name Department of Materials Science and Engineering, University of Tennessee, Knoxville, Tennessee 37996-0100
175 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...