TY - GEN

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 - Stockinger, Martin

AU - Ralph, Benjamin James

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 - https://doi.org/10.1016/j.procir.2021.03.035

DO - https://doi.org/10.1016/j.procir.2021.03.035

M3 - Conference contribution

VL - 2020

T3 - Procedia CIRP

SP - 237

BT - CIRP

ER -