Extraction and Visualization of Swirl and Tumble Motion from Engine Simulation Data View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2007

AUTHORS

Christoph Garth , Robert S. Laramee , Xavier Tricoche , Jürgen Schneider , Hans Hagen

ABSTRACT

An optimal combustion process within an engine block is central to the performance of many motorized vehicles. Associated with this process are two important patterns of flow: swirl and tumble motion, which optimize the mixing of fluid within each of an engine's cylinders. The simulation data associated with in-cylinder tumble motion within a gas engine, given on an unstructured, timevarying and adaptive resolution CFD grid, demands robust visualization methods that apply to unsteady flow. Good visualizations are necessary to analyze the simulation data of these in-cylinder flows. We present a range of methods including integral, feature-based, and image-based schemes with the goal of extracting and visualizing these two important patterns of motion. We place a strong emphasis on automatic and semi-automatic methods, including topological analysis, that require little or no user input.We make effective use of animation to visualize the time-dependent simulation data. We also describe the challenges and implementation measures necessary in order to apply the presented methods to time-varying, volumetric grids. More... »

PAGES

121-135

References to SciGraph publications

Book

TITLE

Topology-based Methods in Visualization

ISBN

978-3-540-70822-3
978-3-540-70823-0

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-540-70823-0_9

DOI

http://dx.doi.org/10.1007/978-3-540-70823-0_9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001549087


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/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Anstalt f\u00fcr Verbrennungskraftmaschinen List", 
          "id": "https://www.grid.ac/institutes/grid.75499.36", 
          "name": [
            "AVL, Graz, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Garth", 
        "givenName": "Christoph", 
        "id": "sg:person.01245455273.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01245455273.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Anstalt f\u00fcr Verbrennungskraftmaschinen List", 
          "id": "https://www.grid.ac/institutes/grid.75499.36", 
          "name": [
            "AVL, Graz, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Laramee", 
        "givenName": "Robert S.", 
        "id": "sg:person.013747544527.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013747544527.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Anstalt f\u00fcr Verbrennungskraftmaschinen List", 
          "id": "https://www.grid.ac/institutes/grid.75499.36", 
          "name": [
            "AVL, Graz, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tricoche", 
        "givenName": "Xavier", 
        "id": "sg:person.014405044562.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014405044562.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Anstalt f\u00fcr Verbrennungskraftmaschinen List", 
          "id": "https://www.grid.ac/institutes/grid.75499.36", 
          "name": [
            "AVL, Graz, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schneider", 
        "givenName": "J\u00fcrgen", 
        "id": "sg:person.012104664103.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012104664103.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Anstalt f\u00fcr Verbrennungskraftmaschinen List", 
          "id": "https://www.grid.ac/institutes/grid.75499.36", 
          "name": [
            "AVL, Graz, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hagen", 
        "givenName": "Hans", 
        "id": "sg:person.01155066112.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155066112.17"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/b978-012387582-2/50019-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002229931"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-662-03567-2_11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014698404", 
          "https://doi.org/10.1007/978-3-662-03567-2_11"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022112095000462", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053768453"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/2945.773805", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061146311"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tvcg.2002.1021579", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061812371"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/visual.1992.235211", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086355443"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/visual.1991.175773", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086363361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/visual.2000.885690", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094321930"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/visual.2004.59", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094344233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/visual.2004.3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095054218"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2007", 
    "datePublishedReg": "2007-01-01", 
    "description": "An optimal combustion process within an engine block is central to the performance of many motorized vehicles. Associated with this process are two important patterns of flow: swirl and tumble motion, which optimize the mixing of fluid within each of an engine's cylinders. The simulation data associated with in-cylinder tumble motion within a gas engine, given on an unstructured, timevarying and adaptive resolution CFD grid, demands robust visualization methods that apply to unsteady flow. Good visualizations are necessary to analyze the simulation data of these in-cylinder flows. We present a range of methods including integral, feature-based, and image-based schemes with the goal of extracting and visualizing these two important patterns of motion. We place a strong emphasis on automatic and semi-automatic methods, including topological analysis, that require little or no user input.We make effective use of animation to visualize the time-dependent simulation data. We also describe the challenges and implementation measures necessary in order to apply the presented methods to time-varying, volumetric grids.", 
    "editor": [
      {
        "familyName": "Hauser", 
        "givenName": "Helwig", 
        "type": "Person"
      }, 
      {
        "familyName": "Hagen", 
        "givenName": "Hans", 
        "type": "Person"
      }, 
      {
        "familyName": "Theisel", 
        "givenName": "Holger", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-540-70823-0_9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-540-70822-3", 
        "978-3-540-70823-0"
      ], 
      "name": "Topology-based Methods in Visualization", 
      "type": "Book"
    }, 
    "name": "Extraction and Visualization of Swirl and Tumble Motion from Engine Simulation Data", 
    "pagination": "121-135", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1001549087"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-540-70823-0_9"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "0760f880f72088c8363f4fa81ce60c0359690a92b29fa7207ba59a2322d9ddad"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-540-70823-0_9", 
      "https://app.dimensions.ai/details/publication/pub.1001549087"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T07:27", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000355_0000000355/records_53027_00000000.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-3-540-70823-0_9"
  }
]
 

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.10.1007/978-3-540-70823-0_9'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-70823-0_9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-70823-0_9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-70823-0_9'


 

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

134 TRIPLES      23 PREDICATES      37 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-540-70823-0_9 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Na336af351fec482285614d54fa6419fa
4 schema:citation sg:pub.10.1007/978-3-662-03567-2_11
5 https://doi.org/10.1016/b978-012387582-2/50019-8
6 https://doi.org/10.1017/s0022112095000462
7 https://doi.org/10.1109/2945.773805
8 https://doi.org/10.1109/tvcg.2002.1021579
9 https://doi.org/10.1109/visual.1991.175773
10 https://doi.org/10.1109/visual.1992.235211
11 https://doi.org/10.1109/visual.2000.885690
12 https://doi.org/10.1109/visual.2004.3
13 https://doi.org/10.1109/visual.2004.59
14 schema:datePublished 2007
15 schema:datePublishedReg 2007-01-01
16 schema:description An optimal combustion process within an engine block is central to the performance of many motorized vehicles. Associated with this process are two important patterns of flow: swirl and tumble motion, which optimize the mixing of fluid within each of an engine's cylinders. The simulation data associated with in-cylinder tumble motion within a gas engine, given on an unstructured, timevarying and adaptive resolution CFD grid, demands robust visualization methods that apply to unsteady flow. Good visualizations are necessary to analyze the simulation data of these in-cylinder flows. We present a range of methods including integral, feature-based, and image-based schemes with the goal of extracting and visualizing these two important patterns of motion. We place a strong emphasis on automatic and semi-automatic methods, including topological analysis, that require little or no user input.We make effective use of animation to visualize the time-dependent simulation data. We also describe the challenges and implementation measures necessary in order to apply the presented methods to time-varying, volumetric grids.
17 schema:editor N661804fbc379443d87fca006c0e01ea2
18 schema:genre chapter
19 schema:inLanguage en
20 schema:isAccessibleForFree true
21 schema:isPartOf N7ebe400b6ea3413cb681e6218a1d55c8
22 schema:name Extraction and Visualization of Swirl and Tumble Motion from Engine Simulation Data
23 schema:pagination 121-135
24 schema:productId N5ff2d6b03b0144e891d9571a6c4d21d3
25 Ndfae12058b71475f95574fad0bed9d35
26 Nfd4b515194c040b6957c28bd270931b3
27 schema:publisher N97af3cc0e88e409faf52a10f5f244475
28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001549087
29 https://doi.org/10.1007/978-3-540-70823-0_9
30 schema:sdDatePublished 2019-04-16T07:27
31 schema:sdLicense https://scigraph.springernature.com/explorer/license/
32 schema:sdPublisher N05b90049938b41919e65af273c78f802
33 schema:url https://link.springer.com/10.1007%2F978-3-540-70823-0_9
34 sgo:license sg:explorer/license/
35 sgo:sdDataset chapters
36 rdf:type schema:Chapter
37 N05b90049938b41919e65af273c78f802 schema:name Springer Nature - SN SciGraph project
38 rdf:type schema:Organization
39 N3c9d21dfa11f4b5eabdd3d9a57d1e59a rdf:first sg:person.013747544527.26
40 rdf:rest N5f3c27d60c2f442696c028e59bf1a1e4
41 N5f3c27d60c2f442696c028e59bf1a1e4 rdf:first sg:person.014405044562.80
42 rdf:rest N70f26c1e48b84150a1cfd451f85884b2
43 N5ff2d6b03b0144e891d9571a6c4d21d3 schema:name readcube_id
44 schema:value 0760f880f72088c8363f4fa81ce60c0359690a92b29fa7207ba59a2322d9ddad
45 rdf:type schema:PropertyValue
46 N661804fbc379443d87fca006c0e01ea2 rdf:first Nc588550cc3614c8ca8ddd11554c3d7a5
47 rdf:rest Nf14220c6f80e4e248848646ae39f36d8
48 N70f26c1e48b84150a1cfd451f85884b2 rdf:first sg:person.012104664103.55
49 rdf:rest Ne97fee5c4215410cb5c843ad70e53e91
50 N7ebe400b6ea3413cb681e6218a1d55c8 schema:isbn 978-3-540-70822-3
51 978-3-540-70823-0
52 schema:name Topology-based Methods in Visualization
53 rdf:type schema:Book
54 N97169dbeca6b478887dea81329f5d90a rdf:first Naf901613549b43a1bc6f740d2e33e35f
55 rdf:rest rdf:nil
56 N97af3cc0e88e409faf52a10f5f244475 schema:location Berlin, Heidelberg
57 schema:name Springer Berlin Heidelberg
58 rdf:type schema:Organisation
59 Na336af351fec482285614d54fa6419fa rdf:first sg:person.01245455273.74
60 rdf:rest N3c9d21dfa11f4b5eabdd3d9a57d1e59a
61 Naf901613549b43a1bc6f740d2e33e35f schema:familyName Theisel
62 schema:givenName Holger
63 rdf:type schema:Person
64 Nc588550cc3614c8ca8ddd11554c3d7a5 schema:familyName Hauser
65 schema:givenName Helwig
66 rdf:type schema:Person
67 Nc6efd118905e46b2ba66e4d64cea0305 schema:familyName Hagen
68 schema:givenName Hans
69 rdf:type schema:Person
70 Ndfae12058b71475f95574fad0bed9d35 schema:name doi
71 schema:value 10.1007/978-3-540-70823-0_9
72 rdf:type schema:PropertyValue
73 Ne97fee5c4215410cb5c843ad70e53e91 rdf:first sg:person.01155066112.17
74 rdf:rest rdf:nil
75 Nf14220c6f80e4e248848646ae39f36d8 rdf:first Nc6efd118905e46b2ba66e4d64cea0305
76 rdf:rest N97169dbeca6b478887dea81329f5d90a
77 Nfd4b515194c040b6957c28bd270931b3 schema:name dimensions_id
78 schema:value pub.1001549087
79 rdf:type schema:PropertyValue
80 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
81 schema:name Information and Computing Sciences
82 rdf:type schema:DefinedTerm
83 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
84 schema:name Artificial Intelligence and Image Processing
85 rdf:type schema:DefinedTerm
86 sg:person.01155066112.17 schema:affiliation https://www.grid.ac/institutes/grid.75499.36
87 schema:familyName Hagen
88 schema:givenName Hans
89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155066112.17
90 rdf:type schema:Person
91 sg:person.012104664103.55 schema:affiliation https://www.grid.ac/institutes/grid.75499.36
92 schema:familyName Schneider
93 schema:givenName Jürgen
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012104664103.55
95 rdf:type schema:Person
96 sg:person.01245455273.74 schema:affiliation https://www.grid.ac/institutes/grid.75499.36
97 schema:familyName Garth
98 schema:givenName Christoph
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01245455273.74
100 rdf:type schema:Person
101 sg:person.013747544527.26 schema:affiliation https://www.grid.ac/institutes/grid.75499.36
102 schema:familyName Laramee
103 schema:givenName Robert S.
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013747544527.26
105 rdf:type schema:Person
106 sg:person.014405044562.80 schema:affiliation https://www.grid.ac/institutes/grid.75499.36
107 schema:familyName Tricoche
108 schema:givenName Xavier
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014405044562.80
110 rdf:type schema:Person
111 sg:pub.10.1007/978-3-662-03567-2_11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014698404
112 https://doi.org/10.1007/978-3-662-03567-2_11
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1016/b978-012387582-2/50019-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002229931
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1017/s0022112095000462 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053768453
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1109/2945.773805 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061146311
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1109/tvcg.2002.1021579 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061812371
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1109/visual.1991.175773 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086363361
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1109/visual.1992.235211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086355443
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1109/visual.2000.885690 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094321930
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1109/visual.2004.3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095054218
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1109/visual.2004.59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094344233
131 rdf:type schema:CreativeWork
132 https://www.grid.ac/institutes/grid.75499.36 schema:alternateName Anstalt für Verbrennungskraftmaschinen List
133 schema:name AVL, Graz, Austria
134 rdf:type schema:Organization
 




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


...