Modeling and Simulation

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • C. Brecher - , RWTH Aachen University (Author)
  • A. Bouabid - , Friedrich-Alexander University Erlangen-Nürnberg (Author)
  • M. Deichmueller - , Leibniz University Hannover (LUH) (Author)
  • B. Denkena - , Leibniz University Hannover (LUH) (Author)
  • K. Großmann - , Chair of Machine Tools Development (Author)
  • A. Hardtmann - , Chair of Machine Tools Development (Author)
  • D. Hömberg - , Weierstrass Institute for Applied Analysis and Stochastics (Author)
  • R. Hermes - , RWTH Aachen University (Author)
  • F. Klocke - , RWTH Aachen University (Author)
  • M. Löser - , Chair of Machine Tools Development (Author)
  • O. Rott - , Weierstrass Institute for Applied Analysis and Stochastics (Author)
  • P. Steinmann - , Friedrich-Alexander University Erlangen-Nürnberg (Author)
  • M. Weiß - , RWTH Aachen University (Author)

Abstract

One focus of the Priority Program 1180 is the prediction of process machine interactions. The investigated manufacturing processes as well as the machine tool behavior and the physical phenomena vary within the projects of this program. So depending on the issues that were investigated, the modeling approach that is best suitable for the specific problem has to be applied. To predict the interactions these models have to be coupled and simulated. Besides the modeling approaches different simulation techniques have also been applied. This chapter gives an overview of the applied models of the structural machine behavior and the manufacturing processes, the coupling of these models as well as the simulation techniques that were used.

Details

Original languageEnglish
Title of host publicationProcess Machine Interactions
PublisherSpringer Nature
Pages29-51
Number of pages23
ISBN (electronic)978-3-642-32448-2
ISBN (print)978-3-642-32447-5, 978-3-642-44704-4
Publication statusPublished - 2013
Peer-reviewedYes

Publication series

SeriesLecture Notes in Production Engineering
VolumePart F1131
ISSN2194-0525

External IDs

ORCID /0000-0001-5126-5699/work/173052070

Keywords

Keywords

  • Chip Formation, Chip Thickness, Frequency Response Function, Machine Tool, Ordinary Differential Equa