Ontology type: schema:ScholarlyArticle
2019-02-25
AUTHORSBenedikt Seidel, Daniel Meyer
ABSTRACTThe understanding of the complex aging processes of water miscible metalworking fluids and their effect on the performance in machining processes is of high relevance for the metalworking industry. Nevertheless, only little knowledge is available in this context. Due to the highly dynamic interactions in the complex ecosystem “metalworking fluid”, a distinct correlating of the aging process with the performance of the fluid in metalworking processes is hardly possible. Consequences of the aging process on physical, chemical and biological properties of the fluid have been described in several research works. These consequences comprise aspects such as the decrease of the pH-value, the increase of the droplet size, the presence of bacterial cells or the modification of the metalworking fluid composition. The novel approach of the presented work aims to investigate the individual influence of isolated aging aspects on the lubricity of metalworking fluids. Therefore, selected aging aspects were artificially varied separately from each other and evaluated in tribological experiments. It could be shown that the physical presence of bacterial cells as well as extracellular polymeric substances have positive influence on the lubricating ability while the pH-value has no effect and the droplet size only a slight influence on the fluids performance. The results reveal essential knowledge for the design of future monitoring and maintenance strategies for water miscible metalworking fluids. More... »
PAGES1-11
http://scigraph.springernature.com/pub.10.1007/s11740-019-00891-6
DOIhttp://dx.doi.org/10.1007/s11740-019-00891-6
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1112379041
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/2008/0904",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Chemical 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": "University of Bremen",
"id": "https://www.grid.ac/institutes/grid.7704.4",
"name": [
"Leibniz Institute for Materials Engineering IWT, Badgasteiner Stra\u00dfe 3, 28359, Bremen, Germany",
"University of Bremen and MAPEX Center for Materials and Processes, Bibliothekstr. 1, 28359, Bremen, Germany"
],
"type": "Organization"
},
"familyName": "Seidel",
"givenName": "Benedikt",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Bremen",
"id": "https://www.grid.ac/institutes/grid.7704.4",
"name": [
"Leibniz Institute for Materials Engineering IWT, Badgasteiner Stra\u00dfe 3, 28359, Bremen, Germany",
"University of Bremen and MAPEX Center for Materials and Processes, Bibliothekstr. 1, 28359, Bremen, Germany"
],
"type": "Organization"
},
"familyName": "Meyer",
"givenName": "Daniel",
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1002/ceat.201200590",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001768450"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1533/9780857095305.317",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015210893"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cirp.2016.04.016",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028384448"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ibiod.2009.07.005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039534756"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1046/j.1462-2920.2003.00428.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041039836"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-540-77587-4_173",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044021672",
"https://doi.org/10.1007/978-3-540-77587-4_173"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-540-77587-4_173",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044021672",
"https://doi.org/10.1007/978-3-540-77587-4_173"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cirp.2015.05.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049650722"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11740-014-0592-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053671342",
"https://doi.org/10.1007/s11740-014-0592-5"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/bm034461z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055220061"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/bm034461z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055220061"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3139/105.100443",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1071025736"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3139/105.110289",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1071026054"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1077210527",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.procir.2016.11.175",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084986225"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cirp.2017.04.019",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085054584"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3139/105.110336",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1092268268"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-02-25",
"datePublishedReg": "2019-02-25",
"description": "The understanding of the complex aging processes of water miscible metalworking fluids and their effect on the performance in machining processes is of high relevance for the metalworking industry. Nevertheless, only little knowledge is available in this context. Due to the highly dynamic interactions in the complex ecosystem \u201cmetalworking fluid\u201d, a distinct correlating of the aging process with the performance of the fluid in metalworking processes is hardly possible. Consequences of the aging process on physical, chemical and biological properties of the fluid have been described in several research works. These consequences comprise aspects such as the decrease of the pH-value, the increase of the droplet size, the presence of bacterial cells or the modification of the metalworking fluid composition. The novel approach of the presented work aims to investigate the individual influence of isolated aging aspects on the lubricity of metalworking fluids. Therefore, selected aging aspects were artificially varied separately from each other and evaluated in tribological experiments. It could be shown that the physical presence of bacterial cells as well as extracellular polymeric substances have positive influence on the lubricating ability while the pH-value has no effect and the droplet size only a slight influence on the fluids performance. The results reveal essential knowledge for the design of future monitoring and maintenance strategies for water miscible metalworking fluids.",
"genre": "research_article",
"id": "sg:pub.10.1007/s11740-019-00891-6",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1136430",
"issn": [
"0944-6524",
"1863-7353"
],
"name": "Production Engineering",
"type": "Periodical"
}
],
"name": "Influence of artificial aging on the lubricating ability of water miscible metalworking fluids",
"pagination": "1-11",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"1586a7fb5d719e9301331f669a1c222dd11c4462a0cbd561442f2ef3dc4ad330"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s11740-019-00891-6"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1112379041"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s11740-019-00891-6",
"https://app.dimensions.ai/details/publication/pub.1112379041"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T10:04",
"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/v90/0000000347_0000000347/records_89826_00000004.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs11740-019-00891-6"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
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/s11740-019-00891-6'
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/s11740-019-00891-6'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11740-019-00891-6'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11740-019-00891-6'
This table displays all metadata directly associated to this object as RDF triples.
107 TRIPLES
21 PREDICATES
39 URIs
16 LITERALS
5 BLANK NODES