The Scale-Up of High Shear Processing for the Purification of Recycled Molten Scrap Aluminium Alloy: Key Features of Fluid Flow View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2017-02-12

AUTHORS

Mingming Tong , Jayesh B. Patel , Ian Stone , Zhongyun Fan , David J. Browne

ABSTRACT

In order to remove impurities in scrap aluminum alloys, hence increasing their value, a laboratory-scale high shear processing (HSP) unit for mixing the molten alloy was developed, which makes it possible to remove iron-based contaminants using physical conditioning, at relatively low cost. In order to make this technology applicable in the industrial environment, we are now investigating the scale-up of HSP by using computer simulation. The computational research quantitatively predicts a variety of key features of fluid flow, which determine the feasibility of the scale-up. These include the mass flow rate through the mixing head, the effective agitation of the melt in the bulk crucible, and the shear rate that can be achieved. Based on the configuration of HSP that we review in this paper, we predict that it is feasible to achieve a factor of four scale-up in the volume of liquid alloy treated. More... »

PAGES

1123-1129

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-51541-0_135

DOI

http://dx.doi.org/10.1007/978-3-319-51541-0_135

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1083765321


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": "Mechanical Engineering, College of Engineering and Informatics, NUI Galway, Galway, Ireland", 
          "id": "http://www.grid.ac/institutes/grid.6142.1", 
          "name": [
            "School of Mechanical and Materials Engineering, University College Dublin, Dublin, Ireland", 
            "Mechanical Engineering, College of Engineering and Informatics, NUI Galway, Galway, Ireland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tong", 
        "givenName": "Mingming", 
        "id": "sg:person.011734120056.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011734120056.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "BCAST, Brunel University, London, UK", 
          "id": "http://www.grid.ac/institutes/grid.7728.a", 
          "name": [
            "BCAST, Brunel University, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Patel", 
        "givenName": "Jayesh B.", 
        "id": "sg:person.014440621645.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014440621645.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "BCAST, Brunel University, London, UK", 
          "id": "http://www.grid.ac/institutes/grid.7728.a", 
          "name": [
            "BCAST, Brunel University, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stone", 
        "givenName": "Ian", 
        "id": "sg:person.013450502473.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013450502473.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "BCAST, Brunel University, London, UK", 
          "id": "http://www.grid.ac/institutes/grid.7728.a", 
          "name": [
            "BCAST, Brunel University, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fan", 
        "givenName": "Zhongyun", 
        "id": "sg:person.014202761657.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014202761657.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Mechanical and Materials Engineering, University College Dublin, Dublin, Ireland", 
          "id": "http://www.grid.ac/institutes/grid.7886.1", 
          "name": [
            "School of Mechanical and Materials Engineering, University College Dublin, Dublin, Ireland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Browne", 
        "givenName": "David J.", 
        "id": "sg:person.011016327161.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011016327161.09"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2017-02-12", 
    "datePublishedReg": "2017-02-12", 
    "description": "In order to remove impurities in scrap aluminum alloys, hence increasing their value, a laboratory-scale high shear processing (HSP) unit for mixing the molten alloy was developed, which makes it possible to remove iron-based contaminants using physical conditioning, at relatively low cost. In order to make this technology applicable in the industrial environment, we are now investigating the scale-up of HSP by using computer simulation. The computational research quantitatively predicts a variety of key features of fluid flow, which determine the feasibility of the scale-up. These include the mass flow rate through the mixing head, the effective agitation of the melt in the bulk crucible, and the shear rate that can be achieved. Based on the configuration of HSP that we review in this paper, we predict that it is feasible to achieve a factor of four scale-up in the volume of liquid alloy treated.", 
    "editor": [
      {
        "familyName": "Ratvik", 
        "givenName": "Arne P.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-51541-0_135", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-319-51540-3", 
        "978-3-319-51541-0"
      ], 
      "name": "Light Metals 2017", 
      "type": "Book"
    }, 
    "keywords": [
      "aluminum alloy", 
      "fluid flow", 
      "mass flow rate", 
      "high shear processing", 
      "shear processing", 
      "molten alloy", 
      "alloy", 
      "liquid alloys", 
      "effective agitation", 
      "flow rate", 
      "shear rate", 
      "industrial environment", 
      "low cost", 
      "processing units", 
      "flow", 
      "computer simulation", 
      "crucible", 
      "key features", 
      "computational research", 
      "simulations", 
      "melt", 
      "impurities", 
      "order", 
      "contaminants", 
      "technology", 
      "processing", 
      "configuration", 
      "feasibility", 
      "cost", 
      "agitation", 
      "rate", 
      "conditioning", 
      "features", 
      "volume", 
      "environment", 
      "units", 
      "values", 
      "purification", 
      "research", 
      "head", 
      "variety", 
      "factors", 
      "physical conditioning", 
      "HSP", 
      "paper", 
      "scrap aluminum alloys", 
      "laboratory-scale high shear processing (HSP) unit", 
      "high shear processing (HSP) unit", 
      "shear processing (HSP) unit", 
      "iron-based contaminants", 
      "bulk crucible", 
      "configuration of HSP", 
      "Recycled Molten Scrap Aluminium Alloy", 
      "Molten Scrap Aluminium Alloy"
    ], 
    "name": "The Scale-Up of High Shear Processing for the Purification of Recycled Molten Scrap Aluminium Alloy: Key Features of Fluid Flow", 
    "pagination": "1123-1129", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1083765321"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-51541-0_135"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-51541-0_135", 
      "https://app.dimensions.ai/details/publication/pub.1083765321"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-01-01T19:21", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/chapter/chapter_368.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-319-51541-0_135"
  }
]
 

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.10.1007/978-3-319-51541-0_135'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-51541-0_135'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-51541-0_135'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-51541-0_135'


 

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

149 TRIPLES      23 PREDICATES      79 URIs      72 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-319-51541-0_135 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author Nb54d38d36cfc4f288b54a683903ce99d
4 schema:datePublished 2017-02-12
5 schema:datePublishedReg 2017-02-12
6 schema:description In order to remove impurities in scrap aluminum alloys, hence increasing their value, a laboratory-scale high shear processing (HSP) unit for mixing the molten alloy was developed, which makes it possible to remove iron-based contaminants using physical conditioning, at relatively low cost. In order to make this technology applicable in the industrial environment, we are now investigating the scale-up of HSP by using computer simulation. The computational research quantitatively predicts a variety of key features of fluid flow, which determine the feasibility of the scale-up. These include the mass flow rate through the mixing head, the effective agitation of the melt in the bulk crucible, and the shear rate that can be achieved. Based on the configuration of HSP that we review in this paper, we predict that it is feasible to achieve a factor of four scale-up in the volume of liquid alloy treated.
7 schema:editor N6093a053ff4c43a09dcf5f54fc7bc3bb
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree true
11 schema:isPartOf N36cdb60b161a4b04bb39cdbc49bb0a42
12 schema:keywords HSP
13 Molten Scrap Aluminium Alloy
14 Recycled Molten Scrap Aluminium Alloy
15 agitation
16 alloy
17 aluminum alloy
18 bulk crucible
19 computational research
20 computer simulation
21 conditioning
22 configuration
23 configuration of HSP
24 contaminants
25 cost
26 crucible
27 effective agitation
28 environment
29 factors
30 feasibility
31 features
32 flow
33 flow rate
34 fluid flow
35 head
36 high shear processing
37 high shear processing (HSP) unit
38 impurities
39 industrial environment
40 iron-based contaminants
41 key features
42 laboratory-scale high shear processing (HSP) unit
43 liquid alloys
44 low cost
45 mass flow rate
46 melt
47 molten alloy
48 order
49 paper
50 physical conditioning
51 processing
52 processing units
53 purification
54 rate
55 research
56 scrap aluminum alloys
57 shear processing
58 shear processing (HSP) unit
59 shear rate
60 simulations
61 technology
62 units
63 values
64 variety
65 volume
66 schema:name The Scale-Up of High Shear Processing for the Purification of Recycled Molten Scrap Aluminium Alloy: Key Features of Fluid Flow
67 schema:pagination 1123-1129
68 schema:productId N150b2ec2a1c7469f8ad6842692cf1b12
69 N35d33062f9e6451a97a4f0bae38f573e
70 schema:publisher Nd872ec862c43412e934ebe79582d2803
71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083765321
72 https://doi.org/10.1007/978-3-319-51541-0_135
73 schema:sdDatePublished 2022-01-01T19:21
74 schema:sdLicense https://scigraph.springernature.com/explorer/license/
75 schema:sdPublisher N893251bef9854a369238771f23072c81
76 schema:url https://doi.org/10.1007/978-3-319-51541-0_135
77 sgo:license sg:explorer/license/
78 sgo:sdDataset chapters
79 rdf:type schema:Chapter
80 N150b2ec2a1c7469f8ad6842692cf1b12 schema:name doi
81 schema:value 10.1007/978-3-319-51541-0_135
82 rdf:type schema:PropertyValue
83 N1cb5c8f7a4544cb5a042abfcf7f44f12 schema:familyName Ratvik
84 schema:givenName Arne P.
85 rdf:type schema:Person
86 N1fba0565773c47acad24588b1744fa1b rdf:first sg:person.011016327161.09
87 rdf:rest rdf:nil
88 N2639cdc078fc4bb78421f874964af19d rdf:first sg:person.014202761657.20
89 rdf:rest N1fba0565773c47acad24588b1744fa1b
90 N35d33062f9e6451a97a4f0bae38f573e schema:name dimensions_id
91 schema:value pub.1083765321
92 rdf:type schema:PropertyValue
93 N36cdb60b161a4b04bb39cdbc49bb0a42 schema:isbn 978-3-319-51540-3
94 978-3-319-51541-0
95 schema:name Light Metals 2017
96 rdf:type schema:Book
97 N394288ac59a14895be59c885f32878e3 rdf:first sg:person.014440621645.61
98 rdf:rest N8d245d203dcc480e8fec014ad276ee70
99 N6093a053ff4c43a09dcf5f54fc7bc3bb rdf:first N1cb5c8f7a4544cb5a042abfcf7f44f12
100 rdf:rest rdf:nil
101 N893251bef9854a369238771f23072c81 schema:name Springer Nature - SN SciGraph project
102 rdf:type schema:Organization
103 N8d245d203dcc480e8fec014ad276ee70 rdf:first sg:person.013450502473.06
104 rdf:rest N2639cdc078fc4bb78421f874964af19d
105 Nb54d38d36cfc4f288b54a683903ce99d rdf:first sg:person.011734120056.39
106 rdf:rest N394288ac59a14895be59c885f32878e3
107 Nd872ec862c43412e934ebe79582d2803 schema:name Springer Nature
108 rdf:type schema:Organisation
109 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
110 schema:name Engineering
111 rdf:type schema:DefinedTerm
112 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
113 schema:name Materials Engineering
114 rdf:type schema:DefinedTerm
115 sg:person.011016327161.09 schema:affiliation grid-institutes:grid.7886.1
116 schema:familyName Browne
117 schema:givenName David J.
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011016327161.09
119 rdf:type schema:Person
120 sg:person.011734120056.39 schema:affiliation grid-institutes:grid.6142.1
121 schema:familyName Tong
122 schema:givenName Mingming
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011734120056.39
124 rdf:type schema:Person
125 sg:person.013450502473.06 schema:affiliation grid-institutes:grid.7728.a
126 schema:familyName Stone
127 schema:givenName Ian
128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013450502473.06
129 rdf:type schema:Person
130 sg:person.014202761657.20 schema:affiliation grid-institutes:grid.7728.a
131 schema:familyName Fan
132 schema:givenName Zhongyun
133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014202761657.20
134 rdf:type schema:Person
135 sg:person.014440621645.61 schema:affiliation grid-institutes:grid.7728.a
136 schema:familyName Patel
137 schema:givenName Jayesh B.
138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014440621645.61
139 rdf:type schema:Person
140 grid-institutes:grid.6142.1 schema:alternateName Mechanical Engineering, College of Engineering and Informatics, NUI Galway, Galway, Ireland
141 schema:name Mechanical Engineering, College of Engineering and Informatics, NUI Galway, Galway, Ireland
142 School of Mechanical and Materials Engineering, University College Dublin, Dublin, Ireland
143 rdf:type schema:Organization
144 grid-institutes:grid.7728.a schema:alternateName BCAST, Brunel University, London, UK
145 schema:name BCAST, Brunel University, London, UK
146 rdf:type schema:Organization
147 grid-institutes:grid.7886.1 schema:alternateName School of Mechanical and Materials Engineering, University College Dublin, Dublin, Ireland
148 schema:name School of Mechanical and Materials Engineering, University College Dublin, Dublin, Ireland
149 rdf:type schema:Organization
 




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


...