Support structure design in additive manufacturing based on topology optimization View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-01

AUTHORS

Yu-Hsin Kuo, Chih-Chun Cheng, Yang-Shan Lin, Cheng-Hung San

ABSTRACT

A support structure design technique for additive manufacturing (AM) is proposed that minimizes the deformation while using the least amount of support material, minimizes the time required to add the supports, and designs supports that are easily removed. This study presents a repulsion index (RI), which satisfies the easy removal requirement and minimizes the number of artifacts left on the specimen surface, and a weighting function, which quantifies the cost incurred by the time taken to build the supports. A multi-objective topological optimization based on the simple isotropic material with penalization method, continuous approximation of material distribution, and method of moving asymptotes is formulated that includes the proposed RI and cost formulation. Numerical simulations demonstrate that rational support layouts can be determined with the proposed cost-based formulation in the topological optimization, allowing designers to find design solutions with a compromise between specimen surface profile error and support structure costs. More... »

PAGES

183-195

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00158-017-1743-z

DOI

http://dx.doi.org/10.1007/s00158-017-1743-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1090325100


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/2008/0103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Numerical and Computational Mathematics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Chung Cheng University", 
          "id": "https://www.grid.ac/institutes/grid.412047.4", 
          "name": [
            "Department of Mechanical Engineering, National Chung Cheng University, No.168, Sec. 1, University Rd., 621, Min-Hsiung Township, Chia-yi County, Taiwan, Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kuo", 
        "givenName": "Yu-Hsin", 
        "id": "sg:person.013533635346.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013533635346.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Chung Cheng University", 
          "id": "https://www.grid.ac/institutes/grid.412047.4", 
          "name": [
            "Department of Mechanical Engineering, National Chung Cheng University, No.168, Sec. 1, University Rd., 621, Min-Hsiung Township, Chia-yi County, Taiwan, Republic of China", 
            "Advanced Institute of Manufacturing with High-tech Innovations, National Chung Cheng University, No.168, Sec. 1, University Rd., 621, Min-Hsiung Township, Chia-yi County, Taiwan, Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cheng", 
        "givenName": "Chih-Chun", 
        "id": "sg:person.01154277243.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154277243.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Industrial Technology Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.418030.e", 
          "name": [
            "Industrial Technology Research Institute, 195, Sec. 4, Chung Hsing Rd., Chutung, Hsinchu, Taiwan, Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lin", 
        "givenName": "Yang-Shan", 
        "id": "sg:person.015556526465.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015556526465.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Industrial Technology Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.418030.e", 
          "name": [
            "Industrial Technology Research Institute, 195, Sec. 4, Chung Hsing Rd., Chutung, Hsinchu, Taiwan, Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "San", 
        "givenName": "Cheng-Hung", 
        "id": "sg:person.012261606314.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012261606314.86"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00158-016-1522-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003050815", 
          "https://doi.org/10.1007/s00158-016-1522-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00158-016-1522-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003050815", 
          "https://doi.org/10.1007/s00158-016-1522-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nme.1620240207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005125262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nme.1620240207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005125262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00170-012-4403-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005548235", 
          "https://doi.org/10.1007/s00170-012-4403-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nme.945", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006881014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cad.2015.03.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011963922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00158-016-1551-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019599170", 
          "https://doi.org/10.1007/s00158-016-1551-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00158-016-1551-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019599170", 
          "https://doi.org/10.1007/s00158-016-1551-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1020610268", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4939-2113-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020610268", 
          "https://doi.org/10.1007/978-1-4939-2113-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4939-2113-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020610268", 
          "https://doi.org/10.1007/978-1-4939-2113-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/cgf.12437", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025637260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00158-002-0194-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026806593", 
          "https://doi.org/10.1007/s00158-002-0194-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00158-002-0194-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026806593", 
          "https://doi.org/10.1007/s00158-002-0194-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/net.3230220105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031008466"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cad.2016.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031682007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cad.2016.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031682007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cad.2016.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031682007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cad.2016.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031682007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/03052150500323856", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043085506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.matdes.2014.06.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050922312"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmatprotec.2013.01.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052530101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.4028725", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062154036"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/0116001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062838353"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/9789812779670_0006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1088731838"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7712/100016.2065.5873", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1097307887"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-01", 
    "datePublishedReg": "2018-01-01", 
    "description": "A support structure design technique for additive manufacturing (AM) is proposed that minimizes the deformation while using the least amount of support material, minimizes the time required to add the supports, and designs supports that are easily removed. This study presents a repulsion index (RI), which satisfies the easy removal requirement and minimizes the number of artifacts left on the specimen surface, and a weighting function, which quantifies the cost incurred by the time taken to build the supports. A multi-objective topological optimization based on the simple isotropic material with penalization method, continuous approximation of material distribution, and method of moving asymptotes is formulated that includes the proposed RI and cost formulation. Numerical simulations demonstrate that rational support layouts can be determined with the proposed cost-based formulation in the topological optimization, allowing designers to find design solutions with a compromise between specimen surface profile error and support structure costs.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00158-017-1743-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1050630", 
        "issn": [
          "1615-147X", 
          "1615-1488"
        ], 
        "name": "Structural and Multidisciplinary Optimization", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "57"
      }
    ], 
    "name": "Support structure design in additive manufacturing based on topology optimization", 
    "pagination": "183-195", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8729578de2d77cff0a1a227cdaf7580ec50f84495bff6bf4e4aeb59b2bc92142"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00158-017-1743-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1090325100"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00158-017-1743-z", 
      "https://app.dimensions.ai/details/publication/pub.1090325100"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:19", 
    "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/v90/0000000348_0000000348/records_54325_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00158-017-1743-z"
  }
]
 

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/s00158-017-1743-z'

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/s00158-017-1743-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00158-017-1743-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00158-017-1743-z'


 

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

147 TRIPLES      21 PREDICATES      46 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00158-017-1743-z schema:about anzsrc-for:01
2 anzsrc-for:0103
3 schema:author N5d9225003b7b4c7cb753d3c5d38504ce
4 schema:citation sg:pub.10.1007/978-1-4939-2113-3
5 sg:pub.10.1007/s00158-002-0194-2
6 sg:pub.10.1007/s00158-016-1522-2
7 sg:pub.10.1007/s00158-016-1551-x
8 sg:pub.10.1007/s00170-012-4403-x
9 https://app.dimensions.ai/details/publication/pub.1020610268
10 https://doi.org/10.1002/net.3230220105
11 https://doi.org/10.1002/nme.1620240207
12 https://doi.org/10.1002/nme.945
13 https://doi.org/10.1016/j.cad.2015.03.001
14 https://doi.org/10.1016/j.cad.2016.08.006
15 https://doi.org/10.1016/j.jmatprotec.2013.01.020
16 https://doi.org/10.1016/j.matdes.2014.06.015
17 https://doi.org/10.1080/03052150500323856
18 https://doi.org/10.1111/cgf.12437
19 https://doi.org/10.1115/1.4028725
20 https://doi.org/10.1137/0116001
21 https://doi.org/10.1142/9789812779670_0006
22 https://doi.org/10.7712/100016.2065.5873
23 schema:datePublished 2018-01
24 schema:datePublishedReg 2018-01-01
25 schema:description A support structure design technique for additive manufacturing (AM) is proposed that minimizes the deformation while using the least amount of support material, minimizes the time required to add the supports, and designs supports that are easily removed. This study presents a repulsion index (RI), which satisfies the easy removal requirement and minimizes the number of artifacts left on the specimen surface, and a weighting function, which quantifies the cost incurred by the time taken to build the supports. A multi-objective topological optimization based on the simple isotropic material with penalization method, continuous approximation of material distribution, and method of moving asymptotes is formulated that includes the proposed RI and cost formulation. Numerical simulations demonstrate that rational support layouts can be determined with the proposed cost-based formulation in the topological optimization, allowing designers to find design solutions with a compromise between specimen surface profile error and support structure costs.
26 schema:genre research_article
27 schema:inLanguage en
28 schema:isAccessibleForFree false
29 schema:isPartOf N16656770e7be4c3e9c14282592a657fa
30 N6d5be515b35642a194e60a5596f55fa5
31 sg:journal.1050630
32 schema:name Support structure design in additive manufacturing based on topology optimization
33 schema:pagination 183-195
34 schema:productId N11e2d5ff7ae24337966960532f4388b6
35 Na6f89c2537dc4515b2b7a625988f1b23
36 Nddfb8f3537de41439e0f91fcbba681b4
37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090325100
38 https://doi.org/10.1007/s00158-017-1743-z
39 schema:sdDatePublished 2019-04-11T10:19
40 schema:sdLicense https://scigraph.springernature.com/explorer/license/
41 schema:sdPublisher N143467887ce448359ff426ebb635d1bb
42 schema:url https://link.springer.com/10.1007%2Fs00158-017-1743-z
43 sgo:license sg:explorer/license/
44 sgo:sdDataset articles
45 rdf:type schema:ScholarlyArticle
46 N0cd209107bdd4cfca4ff1b2874650df6 rdf:first sg:person.015556526465.97
47 rdf:rest N662d9d7606324a02ae9db5a13f601143
48 N11e2d5ff7ae24337966960532f4388b6 schema:name readcube_id
49 schema:value 8729578de2d77cff0a1a227cdaf7580ec50f84495bff6bf4e4aeb59b2bc92142
50 rdf:type schema:PropertyValue
51 N143467887ce448359ff426ebb635d1bb schema:name Springer Nature - SN SciGraph project
52 rdf:type schema:Organization
53 N16656770e7be4c3e9c14282592a657fa schema:issueNumber 1
54 rdf:type schema:PublicationIssue
55 N5d9225003b7b4c7cb753d3c5d38504ce rdf:first sg:person.013533635346.40
56 rdf:rest Nf35f718dab654dc1901ae8e8e1b94268
57 N662d9d7606324a02ae9db5a13f601143 rdf:first sg:person.012261606314.86
58 rdf:rest rdf:nil
59 N6d5be515b35642a194e60a5596f55fa5 schema:volumeNumber 57
60 rdf:type schema:PublicationVolume
61 Na6f89c2537dc4515b2b7a625988f1b23 schema:name doi
62 schema:value 10.1007/s00158-017-1743-z
63 rdf:type schema:PropertyValue
64 Nddfb8f3537de41439e0f91fcbba681b4 schema:name dimensions_id
65 schema:value pub.1090325100
66 rdf:type schema:PropertyValue
67 Nf35f718dab654dc1901ae8e8e1b94268 rdf:first sg:person.01154277243.57
68 rdf:rest N0cd209107bdd4cfca4ff1b2874650df6
69 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
70 schema:name Mathematical Sciences
71 rdf:type schema:DefinedTerm
72 anzsrc-for:0103 schema:inDefinedTermSet anzsrc-for:
73 schema:name Numerical and Computational Mathematics
74 rdf:type schema:DefinedTerm
75 sg:journal.1050630 schema:issn 1615-147X
76 1615-1488
77 schema:name Structural and Multidisciplinary Optimization
78 rdf:type schema:Periodical
79 sg:person.01154277243.57 schema:affiliation https://www.grid.ac/institutes/grid.412047.4
80 schema:familyName Cheng
81 schema:givenName Chih-Chun
82 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154277243.57
83 rdf:type schema:Person
84 sg:person.012261606314.86 schema:affiliation https://www.grid.ac/institutes/grid.418030.e
85 schema:familyName San
86 schema:givenName Cheng-Hung
87 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012261606314.86
88 rdf:type schema:Person
89 sg:person.013533635346.40 schema:affiliation https://www.grid.ac/institutes/grid.412047.4
90 schema:familyName Kuo
91 schema:givenName Yu-Hsin
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013533635346.40
93 rdf:type schema:Person
94 sg:person.015556526465.97 schema:affiliation https://www.grid.ac/institutes/grid.418030.e
95 schema:familyName Lin
96 schema:givenName Yang-Shan
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015556526465.97
98 rdf:type schema:Person
99 sg:pub.10.1007/978-1-4939-2113-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020610268
100 https://doi.org/10.1007/978-1-4939-2113-3
101 rdf:type schema:CreativeWork
102 sg:pub.10.1007/s00158-002-0194-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026806593
103 https://doi.org/10.1007/s00158-002-0194-2
104 rdf:type schema:CreativeWork
105 sg:pub.10.1007/s00158-016-1522-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003050815
106 https://doi.org/10.1007/s00158-016-1522-2
107 rdf:type schema:CreativeWork
108 sg:pub.10.1007/s00158-016-1551-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1019599170
109 https://doi.org/10.1007/s00158-016-1551-x
110 rdf:type schema:CreativeWork
111 sg:pub.10.1007/s00170-012-4403-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1005548235
112 https://doi.org/10.1007/s00170-012-4403-x
113 rdf:type schema:CreativeWork
114 https://app.dimensions.ai/details/publication/pub.1020610268 schema:CreativeWork
115 https://doi.org/10.1002/net.3230220105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031008466
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1002/nme.1620240207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005125262
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1002/nme.945 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006881014
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/j.cad.2015.03.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011963922
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/j.cad.2016.08.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031682007
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/j.jmatprotec.2013.01.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052530101
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/j.matdes.2014.06.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050922312
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1080/03052150500323856 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043085506
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1111/cgf.12437 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025637260
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1115/1.4028725 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062154036
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1137/0116001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062838353
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1142/9789812779670_0006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1088731838
138 rdf:type schema:CreativeWork
139 https://doi.org/10.7712/100016.2065.5873 schema:sameAs https://app.dimensions.ai/details/publication/pub.1097307887
140 rdf:type schema:CreativeWork
141 https://www.grid.ac/institutes/grid.412047.4 schema:alternateName National Chung Cheng University
142 schema:name Advanced Institute of Manufacturing with High-tech Innovations, National Chung Cheng University, No.168, Sec. 1, University Rd., 621, Min-Hsiung Township, Chia-yi County, Taiwan, Republic of China
143 Department of Mechanical Engineering, National Chung Cheng University, No.168, Sec. 1, University Rd., 621, Min-Hsiung Township, Chia-yi County, Taiwan, Republic of China
144 rdf:type schema:Organization
145 https://www.grid.ac/institutes/grid.418030.e schema:alternateName Industrial Technology Research Institute
146 schema:name Industrial Technology Research Institute, 195, Sec. 4, Chung Hsing Rd., Chutung, Hsinchu, Taiwan, Republic of China
147 rdf:type schema:Organization
 




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


...