Dynamic modeling of additive manufacturing process chains for end-use part manufacturing

Mathias Wiese*, Antal Dér, Alexander Leiden, Tim Abraham, Christoph Herrmann, Sebastian Thiede

*Corresponding author for this work

Research output: Contribution to journalConference articleAcademicpeer-review

4 Citations (Scopus)
60 Downloads (Pure)

Abstract

Integration of additive manufacturing (AM) into series production demands for comprehensive methods and tools. An agent-based process chain simulation framework is proposed to embed AM into a cyber-physical production system. A multi-dimensional evaluation supports the planning of AM process chains as well as their day-to-day operation. The detailed evaluation possibilities down to product and single simulation event level are illustrated by a case study, in which an automotive exterior part is produced using the multi-jet fusion technology. Multiple possible process chain configurations are assessed based on their modeled key performance indicators, summarized in a energy value stream map.

Original languageEnglish
Pages (from-to)500-505
Number of pages6
JournalProcedia CIRP
Volume104
DOIs
Publication statusPublished - 2021
Event54th CIRP Conference on Manufacturing Ssystems, CMS 2021 - Virtual, Patras, Greece
Duration: 22 Sept 202124 Sept 2021
Conference number: 54

Keywords

  • Additive manufacturing
  • Cyber-physical production systems
  • Energy value stream analysis
  • Multi-jet fusion
  • Process chain simulation
  • Rapid manufacturing

Fingerprint

Dive into the research topics of 'Dynamic modeling of additive manufacturing process chains for end-use part manufacturing'. Together they form a unique fingerprint.

Cite this