000 03431nam a22005655i 4500
001 978-3-030-12807-4
003 DE-He213
005 20220801214736.0
007 cr nn 008mamaa
008 190209s2019 sz | s |||| 0|eng d
020 _a9783030128074
_9978-3-030-12807-4
024 7 _a10.1007/978-3-030-12807-4
_2doi
050 4 _aTA213-215
072 7 _aTGB
_2bicssc
072 7 _aTEC046000
_2bisacsh
072 7 _aTGB
_2thema
082 0 4 _a621.8
_223
100 1 _aStojadinović, Slavenko M.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_940178
245 1 3 _aAn Intelligent Inspection Planning System for Prismatic Parts on CMMs
_h[electronic resource] /
_cby Slavenko M. Stojadinović, Vidosav D. Majstorović.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXV, 139 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Review of CMM Inspection Planning Methods -- Ontology Knowledge Base for Integration Geometry and Tolerance of PMPs -- The Model for Inspection Planning of PMPs on CMM -- Ants Colony Optimization of The Measuring Path of PMPs on a CMM -- Concluding Remarks and Future Research.
520 _aThis book introduces a new generation of metrological systems and their application in a digital quality concept. It discusses the development of an optimal collision-free measuring path based on CAD geometry and tolerances defined in knowledge base and AI techniques such as engineering ontology, ACO and GA. This new approach, combining both geometric and metrological features, allows the following benefits: reduction of a preparation time based on the automatic generation of a measuring protocol; developed mathematical model for the distribution of measuring points and collision avoidance; the optimization of a measuring probe path; the analysis of a part placement based on the accessibility analysis and automatic configuration of measuring probes. The application of this new system is particularly useful in the inspection of complex prismatic parts with a large number of tolerances, in all of type production. The implementation is demonstrated using several case studies relating to high-tech industries and advanced, non-conventional processes.
650 0 _aMachinery.
_931894
650 0 _aManufactures.
_931642
650 0 _aArtificial intelligence.
_93407
650 0 _aMeasurement.
_928731
650 0 _aMeasuring instruments.
_910420
650 1 4 _aMachinery and Machine Elements.
_931895
650 2 4 _aMachines, Tools, Processes.
_931645
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aMeasurement Science and Instrumentation.
_932783
700 1 _aMajstorović, Vidosav D.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_940179
710 2 _aSpringerLink (Online service)
_940180
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030128067
776 0 8 _iPrinted edition:
_z9783030128081
776 0 8 _iPrinted edition:
_z9783030128098
856 4 0 _uhttps://doi.org/10.1007/978-3-030-12807-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c76698
_d76698