Evaluation of the ASTM D7869-13 test method to predict the gloss and color retention of premium architectural finishes-I View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-09

AUTHORS

Kurt Wood

ABSTRACT

A recently developed xenon arc-based accelerated weathering cycle, ASTM D7869-13, has been validated for automotive and aerospace coatings, but its ability to predict the gloss and color retention of premium architectural finishes has not yet been evaluated. We review new weathering data comparing the performance of poly(vinylidene fluoride) (PVDF) architectural finishes in south Florida exposure as well as several accelerated exposure methods including ASTM D7869-13. ASTM D7869 accurately reproduced Florida rank order gloss and color retention trends for coatings made with PVDF-acrylic blends and inorganic pigments, as well as the gloss and color changes seen in Florida for 70% PVDF masstone coatings made with a number of single organic pigments. However, the D7869 cycle has difficulty predicting the rank order of rutile TiO2 grades for the gloss retention of PVDF coatings in Florida, as well as the magnitude and direction of color fade from organic pigment degradation in organic pigment/inorganic pigment blends. One open question that remains is whether the ASTM D7869 cycle might have some utility for industry standard or specification purposes, if the test is limited to specific reference colors or more ideally to specific reference pigments. More... »

PAGES

933-943

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11998-018-0050-y

DOI

http://dx.doi.org/10.1007/s11998-018-0050-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101794341


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/2008/0303", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Macromolecular and Materials Chemistry", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Arkema (United States)", 
          "id": "https://www.grid.ac/institutes/grid.419047.f", 
          "name": [
            "Arkema, Inc., 900-1st Avenue, 19406, King of Prussia, PA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wood", 
        "givenName": "Kurt", 
        "id": "sg:person.07707571311.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07707571311.14"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-0-387-84876-1_30", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003159702", 
          "https://doi.org/10.1007/978-0-387-84876-1_30"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11998-012-9467-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007566417", 
          "https://doi.org/10.1007/s11998-012-9467-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02696095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010590136", 
          "https://doi.org/10.1007/bf02696095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02696095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010590136", 
          "https://doi.org/10.1007/bf02696095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-0-387-84876-1_20", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015545802", 
          "https://doi.org/10.1007/978-0-387-84876-1_20"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-0-387-84876-1_20", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015545802", 
          "https://doi.org/10.1007/978-0-387-84876-1_20"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1359-0294(97)80026-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017813308"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-0-387-84876-1_4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018553463", 
          "https://doi.org/10.1007/978-0-387-84876-1_4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-0-387-84876-1_4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018553463", 
          "https://doi.org/10.1007/978-0-387-84876-1_4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0033-0655(81)80015-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019400918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0033-0655(81)80015-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019400918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.porgcoat.2013.12.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021078059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0300-9440(98)00054-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023757847"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02697921", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042204244", 
          "https://doi.org/10.1007/bf02697921"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02697921", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042204244", 
          "https://doi.org/10.1007/bf02697921"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0033-0655(92)80001-d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046097944"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bk-2002-0805.ch011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1089356339"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-0-323-49776-3.00005-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092229077"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-09", 
    "datePublishedReg": "2018-09-01", 
    "description": "A recently developed xenon arc-based accelerated weathering cycle, ASTM D7869-13, has been validated for automotive and aerospace coatings, but its ability to predict the gloss and color retention of premium architectural finishes has not yet been evaluated. We review new weathering data comparing the performance of poly(vinylidene fluoride) (PVDF) architectural finishes in south Florida exposure as well as several accelerated exposure methods including ASTM D7869-13. ASTM D7869 accurately reproduced Florida rank order gloss and color retention trends for coatings made with PVDF-acrylic blends and inorganic pigments, as well as the gloss and color changes seen in Florida for 70% PVDF masstone coatings made with a number of single organic pigments. However, the D7869 cycle has difficulty predicting the rank order of rutile TiO2 grades for the gloss retention of PVDF coatings in Florida, as well as the magnitude and direction of color fade from organic pigment degradation in organic pigment/inorganic pigment blends. One open question that remains is whether the ASTM D7869 cycle might have some utility for industry standard or specification purposes, if the test is limited to specific reference colors or more ideally to specific reference pigments.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11998-018-0050-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1320084", 
        "issn": [
          "1945-9645", 
          "2168-8028"
        ], 
        "name": "Journal of Coatings Technology and Research", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "name": "Evaluation of the ASTM D7869-13 test method to predict the gloss and color retention of premium architectural finishes-I", 
    "pagination": "933-943", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "bd11730860144482bcdd6035fd9f3501dc59bf4ddd8d13e9dc261d5c81ad2ae4"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11998-018-0050-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1101794341"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11998-018-0050-y", 
      "https://app.dimensions.ai/details/publication/pub.1101794341"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:11", 
    "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/v90/0000000367_0000000367/records_88253_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11998-018-0050-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/s11998-018-0050-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/s11998-018-0050-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11998-018-0050-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11998-018-0050-y'


 

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

106 TRIPLES      21 PREDICATES      40 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11998-018-0050-y schema:about anzsrc-for:03
2 anzsrc-for:0303
3 schema:author Na49f48789fd6452a959231391bb0977e
4 schema:citation sg:pub.10.1007/978-0-387-84876-1_20
5 sg:pub.10.1007/978-0-387-84876-1_30
6 sg:pub.10.1007/978-0-387-84876-1_4
7 sg:pub.10.1007/bf02696095
8 sg:pub.10.1007/bf02697921
9 sg:pub.10.1007/s11998-012-9467-x
10 https://doi.org/10.1016/0033-0655(81)80015-5
11 https://doi.org/10.1016/0033-0655(92)80001-d
12 https://doi.org/10.1016/b978-0-323-49776-3.00005-2
13 https://doi.org/10.1016/j.porgcoat.2013.12.011
14 https://doi.org/10.1016/s0300-9440(98)00054-x
15 https://doi.org/10.1016/s1359-0294(97)80026-x
16 https://doi.org/10.1021/bk-2002-0805.ch011
17 schema:datePublished 2018-09
18 schema:datePublishedReg 2018-09-01
19 schema:description A recently developed xenon arc-based accelerated weathering cycle, ASTM D7869-13, has been validated for automotive and aerospace coatings, but its ability to predict the gloss and color retention of premium architectural finishes has not yet been evaluated. We review new weathering data comparing the performance of poly(vinylidene fluoride) (PVDF) architectural finishes in south Florida exposure as well as several accelerated exposure methods including ASTM D7869-13. ASTM D7869 accurately reproduced Florida rank order gloss and color retention trends for coatings made with PVDF-acrylic blends and inorganic pigments, as well as the gloss and color changes seen in Florida for 70% PVDF masstone coatings made with a number of single organic pigments. However, the D7869 cycle has difficulty predicting the rank order of rutile TiO2 grades for the gloss retention of PVDF coatings in Florida, as well as the magnitude and direction of color fade from organic pigment degradation in organic pigment/inorganic pigment blends. One open question that remains is whether the ASTM D7869 cycle might have some utility for industry standard or specification purposes, if the test is limited to specific reference colors or more ideally to specific reference pigments.
20 schema:genre research_article
21 schema:inLanguage en
22 schema:isAccessibleForFree false
23 schema:isPartOf N02adfe79a98040d59f93d250c271caf0
24 Nf0c0053f58b846099d4271532d2d92af
25 sg:journal.1320084
26 schema:name Evaluation of the ASTM D7869-13 test method to predict the gloss and color retention of premium architectural finishes-I
27 schema:pagination 933-943
28 schema:productId Na4af5520fc454f61aebee484d4109968
29 Nc2d4812885af43f187f1ca677d838d41
30 Nfbdbb086757447579a521b22b19326d8
31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101794341
32 https://doi.org/10.1007/s11998-018-0050-y
33 schema:sdDatePublished 2019-04-11T13:11
34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
35 schema:sdPublisher Ncf39c327ae0c43a68d547ad01a560395
36 schema:url https://link.springer.com/10.1007%2Fs11998-018-0050-y
37 sgo:license sg:explorer/license/
38 sgo:sdDataset articles
39 rdf:type schema:ScholarlyArticle
40 N02adfe79a98040d59f93d250c271caf0 schema:issueNumber 5
41 rdf:type schema:PublicationIssue
42 Na49f48789fd6452a959231391bb0977e rdf:first sg:person.07707571311.14
43 rdf:rest rdf:nil
44 Na4af5520fc454f61aebee484d4109968 schema:name readcube_id
45 schema:value bd11730860144482bcdd6035fd9f3501dc59bf4ddd8d13e9dc261d5c81ad2ae4
46 rdf:type schema:PropertyValue
47 Nc2d4812885af43f187f1ca677d838d41 schema:name doi
48 schema:value 10.1007/s11998-018-0050-y
49 rdf:type schema:PropertyValue
50 Ncf39c327ae0c43a68d547ad01a560395 schema:name Springer Nature - SN SciGraph project
51 rdf:type schema:Organization
52 Nf0c0053f58b846099d4271532d2d92af schema:volumeNumber 15
53 rdf:type schema:PublicationVolume
54 Nfbdbb086757447579a521b22b19326d8 schema:name dimensions_id
55 schema:value pub.1101794341
56 rdf:type schema:PropertyValue
57 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
58 schema:name Chemical Sciences
59 rdf:type schema:DefinedTerm
60 anzsrc-for:0303 schema:inDefinedTermSet anzsrc-for:
61 schema:name Macromolecular and Materials Chemistry
62 rdf:type schema:DefinedTerm
63 sg:journal.1320084 schema:issn 1945-9645
64 2168-8028
65 schema:name Journal of Coatings Technology and Research
66 rdf:type schema:Periodical
67 sg:person.07707571311.14 schema:affiliation https://www.grid.ac/institutes/grid.419047.f
68 schema:familyName Wood
69 schema:givenName Kurt
70 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07707571311.14
71 rdf:type schema:Person
72 sg:pub.10.1007/978-0-387-84876-1_20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015545802
73 https://doi.org/10.1007/978-0-387-84876-1_20
74 rdf:type schema:CreativeWork
75 sg:pub.10.1007/978-0-387-84876-1_30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003159702
76 https://doi.org/10.1007/978-0-387-84876-1_30
77 rdf:type schema:CreativeWork
78 sg:pub.10.1007/978-0-387-84876-1_4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018553463
79 https://doi.org/10.1007/978-0-387-84876-1_4
80 rdf:type schema:CreativeWork
81 sg:pub.10.1007/bf02696095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010590136
82 https://doi.org/10.1007/bf02696095
83 rdf:type schema:CreativeWork
84 sg:pub.10.1007/bf02697921 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042204244
85 https://doi.org/10.1007/bf02697921
86 rdf:type schema:CreativeWork
87 sg:pub.10.1007/s11998-012-9467-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007566417
88 https://doi.org/10.1007/s11998-012-9467-x
89 rdf:type schema:CreativeWork
90 https://doi.org/10.1016/0033-0655(81)80015-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019400918
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1016/0033-0655(92)80001-d schema:sameAs https://app.dimensions.ai/details/publication/pub.1046097944
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1016/b978-0-323-49776-3.00005-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092229077
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1016/j.porgcoat.2013.12.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021078059
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1016/s0300-9440(98)00054-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023757847
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1016/s1359-0294(97)80026-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1017813308
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1021/bk-2002-0805.ch011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1089356339
103 rdf:type schema:CreativeWork
104 https://www.grid.ac/institutes/grid.419047.f schema:alternateName Arkema (United States)
105 schema:name Arkema, Inc., 900-1st Avenue, 19406, King of Prussia, PA, USA
106 rdf:type schema:Organization
 




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


...