Improving technological machining simulation by tailored workpiece models and kinematics

Research output: Contribution to journalConference articleResearchpeer review

Authors

  • V. Böß
  • B. Denkena
  • B. Breidenstein
  • M. A. Dittrich
  • H. N. Nguyen
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Details

Original languageEnglish
Pages (from-to)224-230
Number of pages7
JournalProcedia CIRP
Volume82
Early online date5 Jul 2019
Publication statusPublished - 2019
Event17th CIRP Conference on Modelling of Machining Operations, CIRP CMMO - Sheffield, United Kingdom (UK)
Duration: 13 Jun 201914 Jun 2019

Abstract

Geometric modelling is an established approach for gathering detailed knowledge about the chronological sequence of process conditions and for determining technological values of machining processes such as milling, turning, grinding or additive manufacturing. Performance and accuracy essentially depend on the chosen workpiece model and its parametrization. Furthermore, several influences on the investigated machine tool system lead to errors, which must be modeled separately. This paper shows approaches to increase performance and accuracy of the simulation by choosing an appropriate combination of different geometric representations of the workpiece and by considering possible errors within the kinematic model. Examples for different applications in metal cutting are given.

Keywords

    Geometric modelling, Grinding, Milling, Simulation

ASJC Scopus subject areas

Cite this

Improving technological machining simulation by tailored workpiece models and kinematics. / Böß, V.; Denkena, B.; Breidenstein, B. et al.
In: Procedia CIRP, Vol. 82, 2019, p. 224-230.

Research output: Contribution to journalConference articleResearchpeer review

Böß V, Denkena B, Breidenstein B, Dittrich MA, Nguyen HN. Improving technological machining simulation by tailored workpiece models and kinematics. Procedia CIRP. 2019;82:224-230. Epub 2019 Jul 5. doi: 10.1016/j.procir.2019.04.157, 10.15488/10474
Böß, V. ; Denkena, B. ; Breidenstein, B. et al. / Improving technological machining simulation by tailored workpiece models and kinematics. In: Procedia CIRP. 2019 ; Vol. 82. pp. 224-230.
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AU - Denkena, B.

AU - Breidenstein, B.

AU - Dittrich, M. A.

AU - Nguyen, H. N.

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