Planning and implementation of a digital shadow for the friction factor quantification of the ECAP process using grey box modeling approach and finite element analysis

Research output: Contribution to journalArticleResearchpeer-review

Bibtex - Download

@article{9d454c7682b4426ca0f404419ddd9a9f,
title = "Planning and implementation of a digital shadow for the friction factor quantification of the ECAP process using grey box modeling approach and finite element analysis",
abstract = "This paper describes the possibility of analytical friction factor generation using a Grey Box modelling approach. A preprocessor is used, which automatically collects measured data via a Smart Production Network and calculates the effective friction coefficient as a function of all significant process parameters of the Equal-Channel-Angular-Pressing (ECAP) process using a data-driven evaluation algorithm. The results of this calculation are then automatically implemented in an efficiently programmed finite element analysis. This Digital Shadow then serves as the basis for the implementation of a Digital Twin, which is described shortly at the end.",
author = "Andreas Schwarz and Benjamin Ralph and Martin Stockinger",
year = "2021",
month = may,
day = "4",
doi = "10.1016/j.procir.2021.03.035",
language = "English",
volume = "99.2021",
pages = "237--241",
journal = " Procedia CIRP",
issn = "2212-8271",
publisher = "Elsevier B.V.",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Planning and implementation of a digital shadow for the friction factor quantification of the ECAP process using grey box modeling approach and finite element analysis

AU - Schwarz, Andreas

AU - Ralph, Benjamin

AU - Stockinger, Martin

PY - 2021/5/4

Y1 - 2021/5/4

N2 - This paper describes the possibility of analytical friction factor generation using a Grey Box modelling approach. A preprocessor is used, which automatically collects measured data via a Smart Production Network and calculates the effective friction coefficient as a function of all significant process parameters of the Equal-Channel-Angular-Pressing (ECAP) process using a data-driven evaluation algorithm. The results of this calculation are then automatically implemented in an efficiently programmed finite element analysis. This Digital Shadow then serves as the basis for the implementation of a Digital Twin, which is described shortly at the end.

AB - This paper describes the possibility of analytical friction factor generation using a Grey Box modelling approach. A preprocessor is used, which automatically collects measured data via a Smart Production Network and calculates the effective friction coefficient as a function of all significant process parameters of the Equal-Channel-Angular-Pressing (ECAP) process using a data-driven evaluation algorithm. The results of this calculation are then automatically implemented in an efficiently programmed finite element analysis. This Digital Shadow then serves as the basis for the implementation of a Digital Twin, which is described shortly at the end.

U2 - 10.1016/j.procir.2021.03.035

DO - 10.1016/j.procir.2021.03.035

M3 - Article

VL - 99.2021

SP - 237

EP - 241

JO - Procedia CIRP

JF - Procedia CIRP

SN - 2212-8271

ER -