Numerical Estimation of Material Properties in the Electrohydraulic Forming Process Based on a Kriging Surrogate Model
Joint Authors
Woo, Mina
Lee, Kyunghoon
Song, Woojin
Kang, Beomsoo
Kim, Jeong
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-10
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
High-speed forming processes, such as electrohydraulic forming, have recently attracted attention with the development of forming technology.
However, because the high-speed operation (above 100 m/s) raises safety concerns, most experiments are conducted in a closed die, which hides the forming process.
Therefore, the experimental process can only be observed in a numerical simulation with accurate material properties.
The conventional quasistatic material properties are improper for high-speed forming simulations with high strain rates (>102 s−1).
In this study, the material properties of Al 6061-T6, which reflect the deformation behavior in the high-strain-rate region, were investigated in a numerical approach based on a reduced order model and a surrogate model in which the numerical results resemble the experimental results.
The strain rate effect on the material was determined by the Cowper–Symonds constitutive equation, and two strain rate parameters were predicted.
The surrogate model takes two material parameters as inputs and outputs a weighting coefficient calculated by the reduced order model.
The surrogate model is based on the Kriging method to reduce the simulation cost.
Next, the optimal material parameters that minimize the error between the surrogate model and the experiments are estimated by nonlinear least-squares optimization using a genetic algorithm and the constructed surrogate model.
The predicted optimal parameters were verified by comparing the results of the experiment, numerical simulation, and surrogate model.
American Psychological Association (APA)
Woo, Mina& Lee, Kyunghoon& Song, Woojin& Kang, Beomsoo& Kim, Jeong. 2020. Numerical Estimation of Material Properties in the Electrohydraulic Forming Process Based on a Kriging Surrogate Model. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1194309
Modern Language Association (MLA)
Woo, Mina…[et al.]. Numerical Estimation of Material Properties in the Electrohydraulic Forming Process Based on a Kriging Surrogate Model. Mathematical Problems in Engineering No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1194309
American Medical Association (AMA)
Woo, Mina& Lee, Kyunghoon& Song, Woojin& Kang, Beomsoo& Kim, Jeong. Numerical Estimation of Material Properties in the Electrohydraulic Forming Process Based on a Kriging Surrogate Model. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1194309
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194309