Numerical Prediction of the Microstructure and Stress Evolution During Surface Grinding of AISI 52100 (DIN 100Cr6) View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-12

AUTHORS

Ali Rajaei, Bengt Hallstedt, Christoph Broeckmann, Sebastian Barth, Daniel Trauth, Thomas Bergs

ABSTRACT

Grinding is one of the most important finishing processes in industrial production. During grinding, the workpiece is subjected to thermomechanical loads. Thermal damage can occur in terms of microstructure changes due to a critical temperature history. A holistic model of the relevant physical load fields and their interactions would help describe and predict the influence of grinding loads on the residual stresses in the surface zone of the workpiece. In this paper, a very promising approach is introduced to simulate grinding of the hardened and tempered bearing steel AISI 52100 using the Finite Element Method (FEM). A material model was developed to describe the thermomechanical and metallurgical changes of the bearing steel under the process loads. Material properties were modeled depending on the temperature and microstructure changes. Temperature gradients, microstructure evolution, thermal, and phase transformation strains were integrated in the model to predict the residual stress state after grinding. Experimental and simulative investigations were conducted for pendulum grinding, and the measured and simulated residuals stresses were compared. The depth of the subsurface zone, where thermally influenced microstructural changes occur, varied with changes of the process parameters. Experiments and simulations showed compressive stresses in the re-hardened zone and tensile stresses in the tempered area. More... »

PAGES

1-12

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s40192-018-0122-y

DOI

http://dx.doi.org/10.1007/s40192-018-0122-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1110707437


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": "RWTH Aachen University", 
          "id": "https://www.grid.ac/institutes/grid.1957.a", 
          "name": [
            "Institute of Applied Powder Metallurgy and Ceramics (IAPK) at RWTH Aachen University e.V, Augustinerbach 4, 52062, Aachen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rajaei", 
        "givenName": "Ali", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RWTH Aachen University", 
          "id": "https://www.grid.ac/institutes/grid.1957.a", 
          "name": [
            "Institute of Applied Powder Metallurgy and Ceramics (IAPK) at RWTH Aachen University e.V, Augustinerbach 4, 52062, Aachen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hallstedt", 
        "givenName": "Bengt", 
        "id": "sg:person.010047321256.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010047321256.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RWTH Aachen University", 
          "id": "https://www.grid.ac/institutes/grid.1957.a", 
          "name": [
            "Institute of Applied Powder Metallurgy and Ceramics (IAPK) at RWTH Aachen University e.V, Augustinerbach 4, 52062, Aachen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Broeckmann", 
        "givenName": "Christoph", 
        "id": "sg:person.011564422446.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011564422446.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RWTH Aachen University", 
          "id": "https://www.grid.ac/institutes/grid.1957.a", 
          "name": [
            "Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Campus-Boulevard 30, 52074, Aachen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Barth", 
        "givenName": "Sebastian", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RWTH Aachen University", 
          "id": "https://www.grid.ac/institutes/grid.1957.a", 
          "name": [
            "Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Campus-Boulevard 30, 52074, Aachen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Trauth", 
        "givenName": "Daniel", 
        "id": "sg:person.014001645667.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014001645667.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RWTH Aachen University", 
          "id": "https://www.grid.ac/institutes/grid.1957.a", 
          "name": [
            "Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Campus-Boulevard 30, 52074, Aachen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bergs", 
        "givenName": "Thomas", 
        "id": "sg:person.012734701371.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012734701371.76"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.cirp.2006.10.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004856280"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11837-015-1718-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008458165", 
          "https://doi.org/10.1007/s11837-015-1718-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0001-6160(59)90170-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011727674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0001-6160(59)90170-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011727674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.commatsci.2015.11.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013730519"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-5096(86)90010-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027354390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-5096(86)90010-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027354390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/srin.199101722", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027432565"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11661-010-0421-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030350557", 
          "https://doi.org/10.1007/s11661-010-0421-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11661-010-0421-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030350557", 
          "https://doi.org/10.1007/s11661-010-0421-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.matdes.2015.12.110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035310440"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s004660000162", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041101444", 
          "https://doi.org/10.1007/s004660000162"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijmachtools.2008.10.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043620581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0890-6955(98)00094-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043731448"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0890-6955(95)93590-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047591240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.procir.2015.03.080", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051425781"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1750631", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057812625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.3101930", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062101379"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1504/ijmtm.2007.014143", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067479886"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3139/105.100470", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071025763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.4035531", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083781704"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Grinding is one of the most important finishing processes in industrial production. During grinding, the workpiece is subjected to thermomechanical loads. Thermal damage can occur in terms of microstructure changes due to a critical temperature history. A holistic model of the relevant physical load fields and their interactions would help describe and predict the influence of grinding loads on the residual stresses in the surface zone of the workpiece. In this paper, a very promising approach is introduced to simulate grinding of the hardened and tempered bearing steel AISI 52100 using the Finite Element Method (FEM). A material model was developed to describe the thermomechanical and metallurgical changes of the bearing steel under the process loads. Material properties were modeled depending on the temperature and microstructure changes. Temperature gradients, microstructure evolution, thermal, and phase transformation strains were integrated in the model to predict the residual stress state after grinding. Experimental and simulative investigations were conducted for pendulum grinding, and the measured and simulated residuals stresses were compared. The depth of the subsurface zone, where thermally influenced microstructural changes occur, varied with changes of the process parameters. Experiments and simulations showed compressive stresses in the re-hardened zone and tensile stresses in the tempered area.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s40192-018-0122-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136615", 
        "issn": [
          "2193-9764", 
          "2193-9772"
        ], 
        "name": "Integrating Materials and Manufacturing Innovation", 
        "type": "Periodical"
      }
    ], 
    "name": "Numerical Prediction of the Microstructure and Stress Evolution During Surface Grinding of AISI 52100 (DIN 100Cr6)", 
    "pagination": "1-12", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "129ccc424e8b08132afa01a10051cc5db7610f37e6369fd689597fa45250c1fa"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s40192-018-0122-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1110707437"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s40192-018-0122-y", 
      "https://app.dimensions.ai/details/publication/pub.1110707437"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:24", 
    "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/v90/0000000297_0000000297/records_20148_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs40192-018-0122-y"
  }
]
 

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/s40192-018-0122-y'

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/s40192-018-0122-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s40192-018-0122-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s40192-018-0122-y'


 

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

146 TRIPLES      21 PREDICATES      43 URIs      17 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s40192-018-0122-y schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N148839c2a2cf4147ae7e0ee4c6deb6b6
4 schema:citation sg:pub.10.1007/s004660000162
5 sg:pub.10.1007/s11661-010-0421-1
6 sg:pub.10.1007/s11837-015-1718-8
7 https://doi.org/10.1002/srin.199101722
8 https://doi.org/10.1016/0001-6160(59)90170-1
9 https://doi.org/10.1016/0022-5096(86)90010-4
10 https://doi.org/10.1016/0890-6955(95)93590-3
11 https://doi.org/10.1016/j.cirp.2006.10.003
12 https://doi.org/10.1016/j.commatsci.2015.11.024
13 https://doi.org/10.1016/j.ijmachtools.2008.10.002
14 https://doi.org/10.1016/j.matdes.2015.12.110
15 https://doi.org/10.1016/j.procir.2015.03.080
16 https://doi.org/10.1016/s0890-6955(98)00094-7
17 https://doi.org/10.1063/1.1750631
18 https://doi.org/10.1115/1.3101930
19 https://doi.org/10.1115/1.4035531
20 https://doi.org/10.1504/ijmtm.2007.014143
21 https://doi.org/10.3139/105.100470
22 schema:datePublished 2018-12
23 schema:datePublishedReg 2018-12-01
24 schema:description Grinding is one of the most important finishing processes in industrial production. During grinding, the workpiece is subjected to thermomechanical loads. Thermal damage can occur in terms of microstructure changes due to a critical temperature history. A holistic model of the relevant physical load fields and their interactions would help describe and predict the influence of grinding loads on the residual stresses in the surface zone of the workpiece. In this paper, a very promising approach is introduced to simulate grinding of the hardened and tempered bearing steel AISI 52100 using the Finite Element Method (FEM). A material model was developed to describe the thermomechanical and metallurgical changes of the bearing steel under the process loads. Material properties were modeled depending on the temperature and microstructure changes. Temperature gradients, microstructure evolution, thermal, and phase transformation strains were integrated in the model to predict the residual stress state after grinding. Experimental and simulative investigations were conducted for pendulum grinding, and the measured and simulated residuals stresses were compared. The depth of the subsurface zone, where thermally influenced microstructural changes occur, varied with changes of the process parameters. Experiments and simulations showed compressive stresses in the re-hardened zone and tensile stresses in the tempered area.
25 schema:genre research_article
26 schema:inLanguage en
27 schema:isAccessibleForFree false
28 schema:isPartOf sg:journal.1136615
29 schema:name Numerical Prediction of the Microstructure and Stress Evolution During Surface Grinding of AISI 52100 (DIN 100Cr6)
30 schema:pagination 1-12
31 schema:productId N0c08b450d2214d149f624cddc6564499
32 N7cbc21f60a9f48509c979560afd277ef
33 Na9901c5c18574620acc9f283c7f24430
34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110707437
35 https://doi.org/10.1007/s40192-018-0122-y
36 schema:sdDatePublished 2019-04-11T08:24
37 schema:sdLicense https://scigraph.springernature.com/explorer/license/
38 schema:sdPublisher N3a761f49b0d5472eacc7e777503d7877
39 schema:url https://link.springer.com/10.1007%2Fs40192-018-0122-y
40 sgo:license sg:explorer/license/
41 sgo:sdDataset articles
42 rdf:type schema:ScholarlyArticle
43 N0c08b450d2214d149f624cddc6564499 schema:name dimensions_id
44 schema:value pub.1110707437
45 rdf:type schema:PropertyValue
46 N148839c2a2cf4147ae7e0ee4c6deb6b6 rdf:first N1d5720154e8e4f90a0111109af6b2cef
47 rdf:rest N2cf87b48333a4f78bc22fcd94ccc41eb
48 N1d5720154e8e4f90a0111109af6b2cef schema:affiliation https://www.grid.ac/institutes/grid.1957.a
49 schema:familyName Rajaei
50 schema:givenName Ali
51 rdf:type schema:Person
52 N2cf87b48333a4f78bc22fcd94ccc41eb rdf:first sg:person.010047321256.51
53 rdf:rest Nb502740d1c4744f7b841f300c3f0e797
54 N3a761f49b0d5472eacc7e777503d7877 schema:name Springer Nature - SN SciGraph project
55 rdf:type schema:Organization
56 N7cbc21f60a9f48509c979560afd277ef schema:name readcube_id
57 schema:value 129ccc424e8b08132afa01a10051cc5db7610f37e6369fd689597fa45250c1fa
58 rdf:type schema:PropertyValue
59 N87383f463afe444b963938a88b64d2e5 rdf:first Nbabc3a490fe34930adceb9989fed4453
60 rdf:rest Na4dda149779a44edb0f0b464b0e20955
61 Na4dda149779a44edb0f0b464b0e20955 rdf:first sg:person.014001645667.63
62 rdf:rest Ne82be2196f054891a7e791479526fa41
63 Na9901c5c18574620acc9f283c7f24430 schema:name doi
64 schema:value 10.1007/s40192-018-0122-y
65 rdf:type schema:PropertyValue
66 Nb502740d1c4744f7b841f300c3f0e797 rdf:first sg:person.011564422446.22
67 rdf:rest N87383f463afe444b963938a88b64d2e5
68 Nbabc3a490fe34930adceb9989fed4453 schema:affiliation https://www.grid.ac/institutes/grid.1957.a
69 schema:familyName Barth
70 schema:givenName Sebastian
71 rdf:type schema:Person
72 Ne82be2196f054891a7e791479526fa41 rdf:first sg:person.012734701371.76
73 rdf:rest rdf:nil
74 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
75 schema:name Engineering
76 rdf:type schema:DefinedTerm
77 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
78 schema:name Materials Engineering
79 rdf:type schema:DefinedTerm
80 sg:journal.1136615 schema:issn 2193-9764
81 2193-9772
82 schema:name Integrating Materials and Manufacturing Innovation
83 rdf:type schema:Periodical
84 sg:person.010047321256.51 schema:affiliation https://www.grid.ac/institutes/grid.1957.a
85 schema:familyName Hallstedt
86 schema:givenName Bengt
87 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010047321256.51
88 rdf:type schema:Person
89 sg:person.011564422446.22 schema:affiliation https://www.grid.ac/institutes/grid.1957.a
90 schema:familyName Broeckmann
91 schema:givenName Christoph
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011564422446.22
93 rdf:type schema:Person
94 sg:person.012734701371.76 schema:affiliation https://www.grid.ac/institutes/grid.1957.a
95 schema:familyName Bergs
96 schema:givenName Thomas
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012734701371.76
98 rdf:type schema:Person
99 sg:person.014001645667.63 schema:affiliation https://www.grid.ac/institutes/grid.1957.a
100 schema:familyName Trauth
101 schema:givenName Daniel
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014001645667.63
103 rdf:type schema:Person
104 sg:pub.10.1007/s004660000162 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041101444
105 https://doi.org/10.1007/s004660000162
106 rdf:type schema:CreativeWork
107 sg:pub.10.1007/s11661-010-0421-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030350557
108 https://doi.org/10.1007/s11661-010-0421-1
109 rdf:type schema:CreativeWork
110 sg:pub.10.1007/s11837-015-1718-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008458165
111 https://doi.org/10.1007/s11837-015-1718-8
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1002/srin.199101722 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027432565
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1016/0001-6160(59)90170-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011727674
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1016/0022-5096(86)90010-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027354390
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1016/0890-6955(95)93590-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047591240
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/j.cirp.2006.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004856280
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/j.commatsci.2015.11.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013730519
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/j.ijmachtools.2008.10.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043620581
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/j.matdes.2015.12.110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035310440
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/j.procir.2015.03.080 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051425781
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/s0890-6955(98)00094-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043731448
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1063/1.1750631 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057812625
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1115/1.3101930 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062101379
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1115/1.4035531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083781704
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1504/ijmtm.2007.014143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067479886
140 rdf:type schema:CreativeWork
141 https://doi.org/10.3139/105.100470 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071025763
142 rdf:type schema:CreativeWork
143 https://www.grid.ac/institutes/grid.1957.a schema:alternateName RWTH Aachen University
144 schema:name Institute of Applied Powder Metallurgy and Ceramics (IAPK) at RWTH Aachen University e.V, Augustinerbach 4, 52062, Aachen, Germany
145 Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Campus-Boulevard 30, 52074, Aachen, Germany
146 rdf:type schema:Organization
 




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


...