A Computationally Efficient Modeling Approach for Predicting Mechanical Behavior of Cellular Lattice Structures View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-01

AUTHORS

M. R. Karamooz Ravari, M. Kadkhodaei

ABSTRACT

As the fabrication and characterization of cellular lattice structures are time consuming and expensive, development of simple models is vital. In this paper, a new approach is presented to model the mechanical stress-strain curve of cellular lattices with low computational efforts. To do so, first, a single strut of the lattice is modeled with its imperfections and defects. The stress-strain of a specimen fabricated with the same processing parameters as those used for the lattice is used as the base material. Then, this strut is simulated in simple tension, and its stress-strain curve is obtained. After that, a unit cell of the lattice is simulated without any imperfections, and the material parameters of the single strut are attributed to the bulk material. Using this method, the stress-strain behavior of the lattice is obtained and shown to be in a good agreement with the experimental result. Accordingly, this paper presents a computationally efficient method for modeling the mechanical properties of cellular lattices with a reasonable accuracy using the material parameters of simple tension tests. The effects of the single strut’s length and its micropores on its mechanical properties are also assessed. More... »

PAGES

245-252

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11665-014-1281-4

DOI

http://dx.doi.org/10.1007/s11665-014-1281-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1005219919


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/2008/0912", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Materials Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Isfahan University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.411751.7", 
          "name": [
            "Department of Mechanical Engineering, Isfahan University of Technology, 84156-83111, Isfahan, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Karamooz Ravari", 
        "givenName": "M. R.", 
        "id": "sg:person.015337603621.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015337603621.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Isfahan University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.411751.7", 
          "name": [
            "Department of Mechanical Engineering, Isfahan University of Technology, 84156-83111, Isfahan, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kadkhodaei", 
        "givenName": "M.", 
        "id": "sg:person.015154522143.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015154522143.06"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ijmecsci.2012.12.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000828193"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.msea.2013.07.070", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003045070"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.msea.2011.07.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004928300"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1475-1305.2008.00498.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007286230"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijsolstr.2008.10.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008252029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmps.2005.10.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010721412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijmecsci.2013.01.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011045516"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1475-1305.2008.00399.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013382231"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1475-1305.2008.00399.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013382231"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijmecsci.2014.08.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014100046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mawe.200800327", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018051818"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijimpeng.2007.10.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018740932"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijimpeng.2013.04.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019816231"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10853-005-5020-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025109148", 
          "https://doi.org/10.1007/s10853-005-5020-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10853-005-5020-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025109148", 
          "https://doi.org/10.1007/s10853-005-5020-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-5096(01)00010-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026760627"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0020-7683(01)00103-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032101283"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmatprotec.2009.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040422758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.matdes.2013.01.071", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041669362"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mechmat.2003.08.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050359237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0020-7683(02)00241-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051004622"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijmecsci.2012.12.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051340822"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijsolstr.2010.06.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051650810"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.4001743", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062142094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1099636212444285", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063982688"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1099636212444285", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063982688"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2495/hpsm06047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099248883"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-01", 
    "datePublishedReg": "2015-01-01", 
    "description": "As the fabrication and characterization of cellular lattice structures are time consuming and expensive, development of simple models is vital. In this paper, a new approach is presented to model the mechanical stress-strain curve of cellular lattices with low computational efforts. To do so, first, a single strut of the lattice is modeled with its imperfections and defects. The stress-strain of a specimen fabricated with the same processing parameters as those used for the lattice is used as the base material. Then, this strut is simulated in simple tension, and its stress-strain curve is obtained. After that, a unit cell of the lattice is simulated without any imperfections, and the material parameters of the single strut are attributed to the bulk material. Using this method, the stress-strain behavior of the lattice is obtained and shown to be in a good agreement with the experimental result. Accordingly, this paper presents a computationally efficient method for modeling the mechanical properties of cellular lattices with a reasonable accuracy using the material parameters of simple tension tests. The effects of the single strut\u2019s length and its micropores on its mechanical properties are also assessed.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11665-014-1281-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1042007", 
        "issn": [
          "1059-9495", 
          "1544-1024"
        ], 
        "name": "Journal of Materials Engineering and Performance", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "24"
      }
    ], 
    "name": "A Computationally Efficient Modeling Approach for Predicting Mechanical Behavior of Cellular Lattice Structures", 
    "pagination": "245-252", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "18de7af14ef30af12458136c2128548ba76bd176c8570cc10d581da975e915d4"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11665-014-1281-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1005219919"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11665-014-1281-4", 
      "https://app.dimensions.ai/details/publication/pub.1005219919"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:33", 
    "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/v90/0000000001_0000000264/records_8672_00000520.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11665-014-1281-4"
  }
]
 

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/s11665-014-1281-4'

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/s11665-014-1281-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11665-014-1281-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11665-014-1281-4'


 

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

141 TRIPLES      21 PREDICATES      51 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11665-014-1281-4 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author Ndfbb4b7c362447c4ac3d12863fc4ab74
4 schema:citation sg:pub.10.1007/s10853-005-5020-y
5 https://doi.org/10.1002/mawe.200800327
6 https://doi.org/10.1016/j.ijimpeng.2007.10.005
7 https://doi.org/10.1016/j.ijimpeng.2013.04.007
8 https://doi.org/10.1016/j.ijmecsci.2012.12.004
9 https://doi.org/10.1016/j.ijmecsci.2012.12.017
10 https://doi.org/10.1016/j.ijmecsci.2013.01.006
11 https://doi.org/10.1016/j.ijmecsci.2014.08.009
12 https://doi.org/10.1016/j.ijsolstr.2008.10.016
13 https://doi.org/10.1016/j.ijsolstr.2010.06.014
14 https://doi.org/10.1016/j.jmatprotec.2009.06.012
15 https://doi.org/10.1016/j.jmps.2005.10.007
16 https://doi.org/10.1016/j.matdes.2013.01.071
17 https://doi.org/10.1016/j.mechmat.2003.08.007
18 https://doi.org/10.1016/j.msea.2011.07.026
19 https://doi.org/10.1016/j.msea.2013.07.070
20 https://doi.org/10.1016/s0020-7683(01)00103-2
21 https://doi.org/10.1016/s0020-7683(02)00241-x
22 https://doi.org/10.1016/s0022-5096(01)00010-2
23 https://doi.org/10.1111/j.1475-1305.2008.00399.x
24 https://doi.org/10.1111/j.1475-1305.2008.00498.x
25 https://doi.org/10.1115/1.4001743
26 https://doi.org/10.1177/1099636212444285
27 https://doi.org/10.2495/hpsm06047
28 schema:datePublished 2015-01
29 schema:datePublishedReg 2015-01-01
30 schema:description As the fabrication and characterization of cellular lattice structures are time consuming and expensive, development of simple models is vital. In this paper, a new approach is presented to model the mechanical stress-strain curve of cellular lattices with low computational efforts. To do so, first, a single strut of the lattice is modeled with its imperfections and defects. The stress-strain of a specimen fabricated with the same processing parameters as those used for the lattice is used as the base material. Then, this strut is simulated in simple tension, and its stress-strain curve is obtained. After that, a unit cell of the lattice is simulated without any imperfections, and the material parameters of the single strut are attributed to the bulk material. Using this method, the stress-strain behavior of the lattice is obtained and shown to be in a good agreement with the experimental result. Accordingly, this paper presents a computationally efficient method for modeling the mechanical properties of cellular lattices with a reasonable accuracy using the material parameters of simple tension tests. The effects of the single strut’s length and its micropores on its mechanical properties are also assessed.
31 schema:genre research_article
32 schema:inLanguage en
33 schema:isAccessibleForFree false
34 schema:isPartOf N7eaf8dc27a27487997406687e35e5d72
35 Na8d21013cb15437a980a57727d265f8e
36 sg:journal.1042007
37 schema:name A Computationally Efficient Modeling Approach for Predicting Mechanical Behavior of Cellular Lattice Structures
38 schema:pagination 245-252
39 schema:productId N9d522745fac446e5aa3845cfbbd07aef
40 Na4556c9a6ab5443a900a9f3a456336f9
41 Nc6d17d2bd16c410f812730285aa892af
42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005219919
43 https://doi.org/10.1007/s11665-014-1281-4
44 schema:sdDatePublished 2019-04-10T17:33
45 schema:sdLicense https://scigraph.springernature.com/explorer/license/
46 schema:sdPublisher Nc5e6d72186a54b818d64c4546820b2ca
47 schema:url http://link.springer.com/10.1007%2Fs11665-014-1281-4
48 sgo:license sg:explorer/license/
49 sgo:sdDataset articles
50 rdf:type schema:ScholarlyArticle
51 N25143a849e464d429fc38b2fc5b89a92 rdf:first sg:person.015154522143.06
52 rdf:rest rdf:nil
53 N7eaf8dc27a27487997406687e35e5d72 schema:volumeNumber 24
54 rdf:type schema:PublicationVolume
55 N9d522745fac446e5aa3845cfbbd07aef schema:name readcube_id
56 schema:value 18de7af14ef30af12458136c2128548ba76bd176c8570cc10d581da975e915d4
57 rdf:type schema:PropertyValue
58 Na4556c9a6ab5443a900a9f3a456336f9 schema:name dimensions_id
59 schema:value pub.1005219919
60 rdf:type schema:PropertyValue
61 Na8d21013cb15437a980a57727d265f8e schema:issueNumber 1
62 rdf:type schema:PublicationIssue
63 Nc5e6d72186a54b818d64c4546820b2ca schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 Nc6d17d2bd16c410f812730285aa892af schema:name doi
66 schema:value 10.1007/s11665-014-1281-4
67 rdf:type schema:PropertyValue
68 Ndfbb4b7c362447c4ac3d12863fc4ab74 rdf:first sg:person.015337603621.83
69 rdf:rest N25143a849e464d429fc38b2fc5b89a92
70 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
71 schema:name Engineering
72 rdf:type schema:DefinedTerm
73 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
74 schema:name Materials Engineering
75 rdf:type schema:DefinedTerm
76 sg:journal.1042007 schema:issn 1059-9495
77 1544-1024
78 schema:name Journal of Materials Engineering and Performance
79 rdf:type schema:Periodical
80 sg:person.015154522143.06 schema:affiliation https://www.grid.ac/institutes/grid.411751.7
81 schema:familyName Kadkhodaei
82 schema:givenName M.
83 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015154522143.06
84 rdf:type schema:Person
85 sg:person.015337603621.83 schema:affiliation https://www.grid.ac/institutes/grid.411751.7
86 schema:familyName Karamooz Ravari
87 schema:givenName M. R.
88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015337603621.83
89 rdf:type schema:Person
90 sg:pub.10.1007/s10853-005-5020-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1025109148
91 https://doi.org/10.1007/s10853-005-5020-y
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1002/mawe.200800327 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018051818
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1016/j.ijimpeng.2007.10.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018740932
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1016/j.ijimpeng.2013.04.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019816231
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1016/j.ijmecsci.2012.12.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051340822
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1016/j.ijmecsci.2012.12.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000828193
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1016/j.ijmecsci.2013.01.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011045516
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1016/j.ijmecsci.2014.08.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014100046
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1016/j.ijsolstr.2008.10.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008252029
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1016/j.ijsolstr.2010.06.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051650810
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1016/j.jmatprotec.2009.06.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040422758
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1016/j.jmps.2005.10.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010721412
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1016/j.matdes.2013.01.071 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041669362
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1016/j.mechmat.2003.08.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050359237
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1016/j.msea.2011.07.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004928300
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/j.msea.2013.07.070 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003045070
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/s0020-7683(01)00103-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032101283
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/s0020-7683(02)00241-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1051004622
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/s0022-5096(01)00010-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026760627
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1111/j.1475-1305.2008.00399.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1013382231
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1111/j.1475-1305.2008.00498.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007286230
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1115/1.4001743 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062142094
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1177/1099636212444285 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063982688
136 rdf:type schema:CreativeWork
137 https://doi.org/10.2495/hpsm06047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099248883
138 rdf:type schema:CreativeWork
139 https://www.grid.ac/institutes/grid.411751.7 schema:alternateName Isfahan University of Technology
140 schema:name Department of Mechanical Engineering, Isfahan University of Technology, 84156-83111, Isfahan, Iran
141 rdf:type schema:Organization
 




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


...