Evaluation Of Glass-Forming Ability View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2008

AUTHORS

Z. P. Lu , Y. Liu , C. T. Liu

ABSTRACT

The emergence of synthetic bulk metallic glasses (BMGs) as a prominent class of functional and structural materials with a unique combination of properties has been an important part of the materials science scene over the past two decades. To date, a number of BMGs have been successfully developed and commercialized for engineering applications utilizing their exceptional properties. However, one of the biggest stumbling blocks for the use of these noncrystalline alloys is still the low glass-forming ability (GFA) of many systems, which is a long-standing problem that is far from being adequately solved. Understanding the nature of glass formation and GFA is the key to developing new BMGs with improved properties and economic manufacturability for industrial applications.Appreciable progress has been made in understanding the physical insights of bulk glass formation, such as the crystallization mechanisms, alloying effects, liquid fragility, etc., and the macro- and microdeformation mechanisms of BMGs. In this chapter, the focus is placed on how to effectively quantify and represent relative GFA of different glass-forming systems. Previous work on the known GFA indicators and a comprehensive review of recent developments in this area are summarized. One of the main emphases is the establishment of the γ parameter and the demonstration of its better reliability and applicability over all previous GFA indicators. In particular, underlying mechanisms and physical insights of the effective γ criterion will be analyzed in detail. Future directions in understanding and measuring GFA of metallic alloys will also be surmised. Specifically, this chapter contains the following sections:Brief introduction of previous well-known GFA parametersThe γ indicator and its reliabilitySummary of other recently developed GFA criteria/indicatorsLimitations of all the newly developed GFA parametersProspective directions More... »

PAGES

87-115

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-0-387-48921-6_4

DOI

http://dx.doi.org/10.1007/978-0-387-48921-6_4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012410108


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": "Materials Science and Technology Division, Oak Ridge National Laboratory, 2008, 37831-6115, Oak Ridge, TN, USA", 
          "id": "http://www.grid.ac/institutes/grid.135519.a", 
          "name": [
            "Materials Science and Technology Division, Oak Ridge National Laboratory, 2008, 37831-6115, Oak Ridge, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lu", 
        "givenName": "Z. P.", 
        "id": "sg:person.01055667243.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055667243.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Materials Science and Engineering, The University of Tennessee, 37996-2200, Knoxville, TN, USA", 
          "id": "http://www.grid.ac/institutes/grid.411461.7", 
          "name": [
            "Department of Materials Science and Engineering, The University of Tennessee, 37996-2200, Knoxville, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Y.", 
        "id": "sg:person.010033362543.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010033362543.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Materials Science and Engineering, The University of Tennessee, 37996-2200, Knoxville, TN, USA", 
          "id": "http://www.grid.ac/institutes/grid.411461.7", 
          "name": [
            "Department of Materials Science and Engineering, The University of Tennessee, 37996-2200, Knoxville, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "C. T.", 
        "id": "sg:person.011275665477.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011275665477.02"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2008", 
    "datePublishedReg": "2008-01-01", 
    "description": "The emergence of synthetic bulk metallic glasses (BMGs) as a prominent class of functional and structural materials with a unique combination of properties has been an important part of the materials science scene over the past two decades. To date, a number of BMGs have been successfully developed and commercialized for engineering applications utilizing their exceptional properties. However, one of the biggest stumbling blocks for the use of these noncrystalline alloys is still the low glass-forming ability (GFA) of many systems, which is a long-standing problem that is far from being adequately solved. Understanding the nature of glass formation and GFA is the key to developing new BMGs with improved properties and economic manufacturability for industrial applications.Appreciable progress has been made in understanding the physical insights of bulk glass formation, such as the crystallization mechanisms, alloying effects, liquid fragility, etc., and the macro- and microdeformation mechanisms of BMGs. In this chapter, the focus is placed on how to effectively quantify and represent relative GFA of different glass-forming systems. Previous work on the known GFA indicators and a comprehensive review of recent developments in this area are summarized. One of the main emphases is the establishment of the \u03b3 parameter and the demonstration of its better reliability and applicability over all previous GFA indicators. In particular, underlying mechanisms and physical insights of the effective \u03b3 criterion will be analyzed in detail. Future directions in understanding and measuring GFA of metallic alloys will also be surmised. Specifically, this chapter contains the following sections:Brief introduction of previous well-known GFA parametersThe \u03b3 indicator and its reliabilitySummary of other recently developed GFA criteria/indicatorsLimitations of all the newly developed GFA parametersProspective directions", 
    "editor": [
      {
        "familyName": "Miller", 
        "givenName": "Michael", 
        "type": "Person"
      }, 
      {
        "familyName": "Liaw", 
        "givenName": "Peter", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-0-387-48921-6_4", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-0-387-48920-9", 
        "978-0-387-48921-6"
      ], 
      "name": "Bulk Metallic Glasses", 
      "type": "Book"
    }, 
    "keywords": [
      "glass-forming ability", 
      "bulk metallic glass", 
      "relative glass-forming ability", 
      "GFA indicators", 
      "low glass-forming ability", 
      "new bulk metallic glasses", 
      "Glass-Forming Ability", 
      "bulk glass formation", 
      "glass formation", 
      "structural materials", 
      "physical insight", 
      "microdeformation mechanisms", 
      "metallic alloys", 
      "noncrystalline alloys", 
      "engineering applications", 
      "metallic glasses", 
      "improved properties", 
      "industrial applications", 
      "exceptional properties", 
      "alloy", 
      "glass-forming systems", 
      "liquid fragility", 
      "properties", 
      "crystallization mechanism", 
      "manufacturability", 
      "different glass-forming systems", 
      "unique combination", 
      "main emphasis", 
      "applications", 
      "glass", 
      "materials", 
      "good reliability", 
      "recent developments", 
      "brief introduction", 
      "system", 
      "comprehensive review", 
      "previous work", 
      "important part", 
      "reliability", 
      "parameters", 
      "formation", 
      "following sections", 
      "direction", 
      "applicability", 
      "macro", 
      "work", 
      "detail", 
      "mechanism", 
      "problem", 
      "combination", 
      "demonstration", 
      "effect", 
      "area", 
      "sections", 
      "ability", 
      "block", 
      "chapter", 
      "use", 
      "part", 
      "progress", 
      "emphasis", 
      "evaluation", 
      "development", 
      "indicators", 
      "future directions", 
      "introduction", 
      "appreciable progress", 
      "nature", 
      "insights", 
      "fragility", 
      "key", 
      "criteria", 
      "prominent class", 
      "number", 
      "scene", 
      "focus", 
      "decades", 
      "understanding", 
      "class", 
      "underlying mechanism", 
      "establishment", 
      "date", 
      "review", 
      "emergence", 
      "synthetic bulk metallic glasses", 
      "materials science scene", 
      "science scene", 
      "number of BMGs", 
      "economic manufacturability", 
      "previous GFA indicators", 
      "GFA parametersThe \u03b3 indicator", 
      "parametersThe \u03b3 indicator", 
      "\u03b3 indicator", 
      "reliabilitySummary", 
      "GFA criteria/indicatorsLimitations", 
      "criteria/indicatorsLimitations", 
      "indicatorsLimitations", 
      "GFA parametersProspective directions Evaluation", 
      "parametersProspective directions Evaluation", 
      "directions Evaluation"
    ], 
    "name": "Evaluation Of Glass-Forming Ability", 
    "pagination": "87-115", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1012410108"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-0-387-48921-6_4"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-0-387-48921-6_4", 
      "https://app.dimensions.ai/details/publication/pub.1012410108"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2021-12-01T20:00", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/chapter/chapter_208.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-0-387-48921-6_4"
  }
]
 

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.10.1007/978-0-387-48921-6_4'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-0-387-48921-6_4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-0-387-48921-6_4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-0-387-48921-6_4'


 

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

182 TRIPLES      23 PREDICATES      125 URIs      118 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-0-387-48921-6_4 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N5763c97cac1b4c1b96e5c68686746cdc
4 schema:datePublished 2008
5 schema:datePublishedReg 2008-01-01
6 schema:description The emergence of synthetic bulk metallic glasses (BMGs) as a prominent class of functional and structural materials with a unique combination of properties has been an important part of the materials science scene over the past two decades. To date, a number of BMGs have been successfully developed and commercialized for engineering applications utilizing their exceptional properties. However, one of the biggest stumbling blocks for the use of these noncrystalline alloys is still the low glass-forming ability (GFA) of many systems, which is a long-standing problem that is far from being adequately solved. Understanding the nature of glass formation and GFA is the key to developing new BMGs with improved properties and economic manufacturability for industrial applications.Appreciable progress has been made in understanding the physical insights of bulk glass formation, such as the crystallization mechanisms, alloying effects, liquid fragility, etc., and the macro- and microdeformation mechanisms of BMGs. In this chapter, the focus is placed on how to effectively quantify and represent relative GFA of different glass-forming systems. Previous work on the known GFA indicators and a comprehensive review of recent developments in this area are summarized. One of the main emphases is the establishment of the γ parameter and the demonstration of its better reliability and applicability over all previous GFA indicators. In particular, underlying mechanisms and physical insights of the effective γ criterion will be analyzed in detail. Future directions in understanding and measuring GFA of metallic alloys will also be surmised. Specifically, this chapter contains the following sections:Brief introduction of previous well-known GFA parametersThe γ indicator and its reliabilitySummary of other recently developed GFA criteria/indicatorsLimitations of all the newly developed GFA parametersProspective directions
7 schema:editor Nc348bc6efb0d43a996095e27f8061907
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf Ne13acbe45ab64225bcb5fb434c0f3f96
12 schema:keywords GFA criteria/indicatorsLimitations
13 GFA indicators
14 GFA parametersProspective directions Evaluation
15 GFA parametersThe γ indicator
16 Glass-Forming Ability
17 ability
18 alloy
19 applicability
20 applications
21 appreciable progress
22 area
23 block
24 brief introduction
25 bulk glass formation
26 bulk metallic glass
27 chapter
28 class
29 combination
30 comprehensive review
31 criteria
32 criteria/indicatorsLimitations
33 crystallization mechanism
34 date
35 decades
36 demonstration
37 detail
38 development
39 different glass-forming systems
40 direction
41 directions Evaluation
42 economic manufacturability
43 effect
44 emergence
45 emphasis
46 engineering applications
47 establishment
48 evaluation
49 exceptional properties
50 focus
51 following sections
52 formation
53 fragility
54 future directions
55 glass
56 glass formation
57 glass-forming ability
58 glass-forming systems
59 good reliability
60 important part
61 improved properties
62 indicators
63 indicatorsLimitations
64 industrial applications
65 insights
66 introduction
67 key
68 liquid fragility
69 low glass-forming ability
70 macro
71 main emphasis
72 manufacturability
73 materials
74 materials science scene
75 mechanism
76 metallic alloys
77 metallic glasses
78 microdeformation mechanisms
79 nature
80 new bulk metallic glasses
81 noncrystalline alloys
82 number
83 number of BMGs
84 parameters
85 parametersProspective directions Evaluation
86 parametersThe γ indicator
87 part
88 physical insight
89 previous GFA indicators
90 previous work
91 problem
92 progress
93 prominent class
94 properties
95 recent developments
96 relative glass-forming ability
97 reliability
98 reliabilitySummary
99 review
100 scene
101 science scene
102 sections
103 structural materials
104 synthetic bulk metallic glasses
105 system
106 underlying mechanism
107 understanding
108 unique combination
109 use
110 work
111 γ indicator
112 schema:name Evaluation Of Glass-Forming Ability
113 schema:pagination 87-115
114 schema:productId N32f92f941e7b4f9ba137c9d899ce0355
115 Nd5bc4cbf464d4cf3b31e8255ecf3f4c6
116 schema:publisher Nca34f8066e884f33a0e681bbd4517d19
117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012410108
118 https://doi.org/10.1007/978-0-387-48921-6_4
119 schema:sdDatePublished 2021-12-01T20:00
120 schema:sdLicense https://scigraph.springernature.com/explorer/license/
121 schema:sdPublisher N1b44e99935b345fc89f3b7326447eb48
122 schema:url https://doi.org/10.1007/978-0-387-48921-6_4
123 sgo:license sg:explorer/license/
124 sgo:sdDataset chapters
125 rdf:type schema:Chapter
126 N1b44e99935b345fc89f3b7326447eb48 schema:name Springer Nature - SN SciGraph project
127 rdf:type schema:Organization
128 N32f92f941e7b4f9ba137c9d899ce0355 schema:name doi
129 schema:value 10.1007/978-0-387-48921-6_4
130 rdf:type schema:PropertyValue
131 N5763c97cac1b4c1b96e5c68686746cdc rdf:first sg:person.01055667243.91
132 rdf:rest Ne48842f1968d4982a770ec1dd75160dd
133 N62dd532698f14a8699360db520037bae schema:familyName Liaw
134 schema:givenName Peter
135 rdf:type schema:Person
136 Nc26399a4491b47fc9b731f197009f3b5 rdf:first sg:person.011275665477.02
137 rdf:rest rdf:nil
138 Nc348bc6efb0d43a996095e27f8061907 rdf:first Nd65ca1430bb14ccf85fbdfe57f274130
139 rdf:rest Ndbb92533b5014b3a8db4ad7e50f40665
140 Nca34f8066e884f33a0e681bbd4517d19 schema:name Springer Nature
141 rdf:type schema:Organisation
142 Nd5bc4cbf464d4cf3b31e8255ecf3f4c6 schema:name dimensions_id
143 schema:value pub.1012410108
144 rdf:type schema:PropertyValue
145 Nd65ca1430bb14ccf85fbdfe57f274130 schema:familyName Miller
146 schema:givenName Michael
147 rdf:type schema:Person
148 Ndbb92533b5014b3a8db4ad7e50f40665 rdf:first N62dd532698f14a8699360db520037bae
149 rdf:rest rdf:nil
150 Ne13acbe45ab64225bcb5fb434c0f3f96 schema:isbn 978-0-387-48920-9
151 978-0-387-48921-6
152 schema:name Bulk Metallic Glasses
153 rdf:type schema:Book
154 Ne48842f1968d4982a770ec1dd75160dd rdf:first sg:person.010033362543.81
155 rdf:rest Nc26399a4491b47fc9b731f197009f3b5
156 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
157 schema:name Engineering
158 rdf:type schema:DefinedTerm
159 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
160 schema:name Materials Engineering
161 rdf:type schema:DefinedTerm
162 sg:person.010033362543.81 schema:affiliation grid-institutes:grid.411461.7
163 schema:familyName Liu
164 schema:givenName Y.
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010033362543.81
166 rdf:type schema:Person
167 sg:person.01055667243.91 schema:affiliation grid-institutes:grid.135519.a
168 schema:familyName Lu
169 schema:givenName Z. P.
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055667243.91
171 rdf:type schema:Person
172 sg:person.011275665477.02 schema:affiliation grid-institutes:grid.411461.7
173 schema:familyName Liu
174 schema:givenName C. T.
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011275665477.02
176 rdf:type schema:Person
177 grid-institutes:grid.135519.a schema:alternateName Materials Science and Technology Division, Oak Ridge National Laboratory, 2008, 37831-6115, Oak Ridge, TN, USA
178 schema:name Materials Science and Technology Division, Oak Ridge National Laboratory, 2008, 37831-6115, Oak Ridge, TN, USA
179 rdf:type schema:Organization
180 grid-institutes:grid.411461.7 schema:alternateName Department of Materials Science and Engineering, The University of Tennessee, 37996-2200, Knoxville, TN, USA
181 schema:name Department of Materials Science and Engineering, The University of Tennessee, 37996-2200, Knoxville, TN, USA
182 rdf:type schema:Organization
 




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


...