Joaquín Barreiro


Ontology type: schema:Person     


Person Info

NAME

Joaquín

SURNAME

Barreiro

Publications in SciGraph latest 50 shown

  • 2017-01 Nozzle design for combined use of MQL and cryogenic gas in machining in INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
  • 2014-05-13 Effect of mechanical pre-treatments in the behaviour of nanostructured PVD-coated tools in turning in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2012-01-04 Behavior of austenitic stainless steels at high speed turning using specific force coefficients in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2011-08-20 A new improved Laws-based descriptor for surface roughness evaluation in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2011-07-07 A evaluation of surface roughness classes by computer vision using wavelet transform in the frequency domain in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2011-04-15 Effect of very high cutting speeds on shearing, cutting forces and roughness in dry turning of austenitic stainless steels in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2011-04-13 A new process-based ontology for KBE system implementation: application to inspection process planning in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2010 Implementation of decision rules for CMM sampling in a KBE system in PROCEEDINGS OF THE 36TH INTERNATIONAL MATADOR CONFERENCE
  • 2010 Surface Finish Control in Machining Processes Using Haralick Descriptors and Neuronal Networks in COMPUTATIONAL MODELING OF OBJECTS REPRESENTED IN IMAGES
  • 2009-06-02 Analysis of laser scanning and strategies for dimensional and geometrical control in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2008-01-01 Computer Vision and Classification Techniques on the Surface Finish Control in Machining Processes in IMAGE ANALYSIS AND RECOGNITION
  • 2005 Tool Insert Wear Classification Using Statistical Descriptors and Neuronal Networks in PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS AND APPLICATIONS
  • Affiliations

  • University of Leon (current)
  • 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", 
        "affiliation": [
          {
            "affiliation": {
              "id": "http://www.grid.ac/institutes/grid.4807.b", 
              "type": "Organization"
            }, 
            "isCurrent": true, 
            "type": "OrganizationRole"
          }
        ], 
        "familyName": "Barreiro", 
        "givenName": "Joaqu\u00edn", 
        "id": "sg:person.016704603071.24", 
        "identifier": [
          {
            "name": "orcid_id", 
            "type": "PropertyValue", 
            "value": "0000-0002-4981-9688"
          }
        ], 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016704603071.24", 
          "https://orcid.org/0000-0002-4981-9688"
        ], 
        "sdDataset": "persons", 
        "sdDatePublished": "2021-12-01T20:43", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/person/person_952.jsonl", 
        "type": "Person"
      }
    ]
     

    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/person.016704603071.24'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.016704603071.24'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.016704603071.24'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.016704603071.24'


     




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


    ...