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

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

doi:10.1016/j.procir.2021.11.084

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

Design Engineering

Research output: Contribution to journal › Conference article › Academic › peer-review

4 Citations (Scopus)

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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 language	English
Pages (from-to)	500-505
Number of pages	6
Journal	Procedia CIRP
Volume	104
DOIs	https://doi.org/10.1016/j.procir.2021.11.084
Publication status	Published - 2021
Event	54th CIRP Conference on Manufacturing Ssystems, CMS 2021 - Virtual, Patras, Greece Duration: 22 Sept 2021 → 24 Sept 2021 Conference number: 54

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.procir.2021.11.084Licence: CC BY-NC-ND

1-s2.0-S2212827121009823-mainFinal published version, 1.93 MBLicence: CC BY-NC-ND

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title = "Dynamic modeling of additive manufacturing process chains for end-use part manufacturing",

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.",

keywords = "Additive manufacturing, Cyber-physical production systems, Energy value stream analysis, Multi-jet fusion, Process chain simulation, Rapid manufacturing",

author = "Mathias Wiese and Antal D{\'e}r and Alexander Leiden and Tim Abraham and Christoph Herrmann and Sebastian Thiede",

note = "Publisher Copyright: {\textcopyright} 2021 Elsevier B.V.. All rights reserved.; 54th CIRP Conference on Manufacturing Ssystems, CMS 2021, CMS 2021 ; Conference date: 22-09-2021 Through 24-09-2021",

year = "2021",

doi = "10.1016/j.procir.2021.11.084",

language = "English",

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T1 - Dynamic modeling of additive manufacturing process chains for end-use part manufacturing

AU - Wiese, Mathias

AU - Dér, Antal

AU - Leiden, Alexander

AU - Abraham, Tim

AU - Herrmann, Christoph

AU - Thiede, Sebastian

N1 - Conference code: 54

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Additive manufacturing

KW - Cyber-physical production systems

KW - Energy value stream analysis

KW - Multi-jet fusion

KW - Process chain simulation

KW - Rapid manufacturing

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DO - 10.1016/j.procir.2021.11.084

M3 - Conference article

AN - SCOPUS:85121619083

SN - 2212-8271

VL - 104

SP - 500

EP - 505

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 54th CIRP Conference on Manufacturing Ssystems, CMS 2021

Y2 - 22 September 2021 through 24 September 2021

ER -

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

Abstract

Keywords

UN SDGs

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