Parametric Experimentation on Pantographic Unit Cells Reveals Local Extremum Configuration

N. N. , M. De Angelo , R. Drobnicki , Tomasz Lekszycki , Francesco dell'Isola , Anil Misra


Pantographic metamaterials are known for their ability to have large deformation while remaining in the elastic regime. We have performed a set of experiments on 3D printed pantographic unit cells to parametrically investigate their response when undergoing tensile, compression, and shear loading with the aim of i) studying the role of each parameter in the resultant mechanical behavior of the sample, and ii) providing a benchmark for the mathematical models developed to describe pantographic structures. Results show the existence of local extrema in the space of the geometrical parameters, suggesting the use of optimization techniques to find optimal geometrical parameters resulting in desired functionalities. We have also performed tensile relaxation tests on the samples, with the results indicating the complexity of the dynamic behavior and the existence of multiple relaxation characteristic times. Such results can be used to for calibrating mathematical models describing pantographic structures under dynamic loadings.

Author N. N.
N. N.,,
, M. De Angelo - [Università degli Studi dell'Aquila]
M. De Angelo,,
, R. Drobnicki - [University of L'Aquila]
R. Drobnicki,,
- Università degli Studi dell'Aquila
, Tomasz Lekszycki (FPE / IMP)
Tomasz Lekszycki,,
- The Institute of Mechanics and Printing
, Francesco dell'Isola - University of L'Aquila
Francesco dell'Isola,,
, Anil Misra - The University of Kansas
Anil Misra,,
Journal seriesExperimental Mechanics, ISSN 0014-4851
Issue year2019
ASJC Classification2210 Mechanical Engineering; 2211 Mechanics of Materials; 2202 Aerospace Engineering
Languageen angielski
Score (nominal)100
Score sourcejournalList
ScoreMinisterial score = 100.0, 12-07-2020, ArticleFromJournal
Publication indicators Scopus Citations = 10; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 1.6; WoS Impact Factor: 2018 = 2.256 (2) - 2018=2.518 (5)
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