---
res:
  bibo_abstract:
  - Additive manufacturing (AM) has matured rapidly during the last years due to the
    advancement of AM machines and materials. Nevertheless, the widespread adoption
    of AM is still challenged by producing parts with reliable quality. The aim of
    this paper is t o introduce a first approach to apply in-situ monitoring for quality
    evaluation of produced parts. Based on the monitored data, a model is developed,
    in order to predict the quality of ready built parts.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Eva
      foaf_name: Scheideler, Eva
      foaf_surname: Scheideler
      foaf_workInfoHomepage: http://www.librecat.org/personId=61522
  - foaf_Person:
      foaf_givenName: Andrea
      foaf_name: Huxol, Andrea
      foaf_surname: Huxol
      foaf_workInfoHomepage: http://www.librecat.org/personId=43559
  - foaf_Person:
      foaf_givenName: Franz-Josef
      foaf_name: Villmer, Franz-Josef
      foaf_surname: Villmer
      foaf_workInfoHomepage: http://www.librecat.org/personId=14290
  bibo_issue: '1'
  dct_date: 2017^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/978-3-946856-01-6
  dct_language: eng
  dct_subject:
  - Nondestructive quality control
  - Predictive analytics
  - Metal model
  - Additive manufacturing
  dct_title: Nondestructive Quality Check of Additive Manufactured Parts Using Empirical
    Models@
...