Please use this identifier to cite or link to this item:
Title: Prediction assessment and validation of multiscale models for additively manufactured lattice structures under uncertainty
Authors: Görgülüarslan, Recep Muhammet
Grandhi, Ramana V.
Choi, Hae-Jin
Choi, Seung-Kyum
Keywords: Additive manufacturing
lattice structure
multiscale modeling
uncertainty propagation
Issue Date: Mar-2019
Publisher: Korean Society of Mechanical Engineers
Source: Gorguluarslan, R. M., Grandhi, R. V., Choi, H. J., and Choi, S. K. (2019). Prediction assessment and validation of multiscale models for additively manufactured lattice structures under uncertainty. Journal of Mechanical Science and Technology, 33(3), 1365-1379.
Abstract: In the design of lattice structures fabricated by additive manufacturing, a multiscale modeling process is usually required to effectively account for fine scale uncertainties. The validation of the multiscale model predictions, on the other hand, is a challenging task. In this research, two prediction assessment approaches, namely the area validation metric and the Kolmogorov-Smirnov test, are presented in a systematic validation pyramid approach with u-pooling method to address this issue. The use of these two approaches are evaluated in terms of being an unbiased decision criterion for the prediction assessment and validation of the multiscale models. The fine scale material and geometry uncertainties are propagated onto homogenized properties using a stochastic upscaling method at each scale of interest. The homogenized model predictions are validated using the experimental data obtained for the lattice structure example fabricated by material extrusion process. The results indicate that the presented approach is capable of effectively validate the predictions of the multiscale models under uncertainty.
ISSN: 1738-494X
Appears in Collections:Makine Mühendisliği Bölümü / Department of Mechanical Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender


checked on Sep 23, 2022


checked on Sep 24, 2022

Page view(s)

checked on Dec 26, 2022

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.