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
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In: Procedia CIRP, Vol. 99.2021, 04.05.2021, p. 237-241.
Research output: Contribution to journal › Article › Research › peer-review
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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 -