Evidence map›Paper›PMID 36365770›Full record

ArticlePolymers2022

Low Impact Velocity Modeling of 3D Printed Spatially Graded Elastomeric Lattices.

Jose Angel Diosdado-De la Peña, Charles M Dwyer, David Krzeminski, Eric MacDonald, Alberto Saldaña-Robles, Pedro Cortes, Kyosung Choo

Abstract read
In one paragraph

Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jose Angel Diosdado-De la PeñaMaterial Science and Engineering, Youngstown State University, Youngstown, OH 44555, USA.ORCID 0000-0002-7644-0454
Charles M DwyerAdvanced Manufacturing Research Center, Youngstown State University, Youngstown, OH 44555, USA.ORCID 0000-0003-3394-9776
David KrzeminskiEOS North America, Pflugerville, TX 78660, USA.
Eric MacDonaldCollege of Engineering, University of Texas at El Paso, El Paso, TX 79968, USA.
Alberto Saldaña-RoblesDepartment of Agricultural Mechanical Engineering, University of Guanajuato, Irapuato 36500, Guanajuato, Mexico.
Pedro CortesAdvanced Manufacturing Research Center, Youngstown State University, Youngstown, OH 44555, USA.ORCID 0000-0003-4173-6279
Kyosung ChooMechanical Engineering, Youngstown State University, Youngstown, OH 44555, USA.ORCID 0000-0002-9238-224X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Additive manufacturing technologies have facilitated the construction of intricate geometries, which otherwise would be an extenuating task to accomplish by using traditional processes. Particularly, this work addresses the manufacturing, testing, and modeling of thermoplastic polyurethane (TPU) lattices. Here, a discussion of different unit cells found in the literature is presented, along with the based materials used by other authors and the tests performed in diverse studies, from which a necessity to improve the dynamic modeling of polymeric lattices was identified. This research focused on the experimental and numerical analysis of elastomeric lattices under quasi-static and dynamic compressive loads, using a Kelvin unit cell to design and build non-graded and spatially side-graded lattices. The base material behavior was fitted to an Ogden 3rd-order hyperelastic material model and used as input for the numerical work through finite element analysis (FEA). The quasi-static and impact loading FEA results from the lattices showed a good agreement with the experimental data, and by using the validated simulation methodology, additional special cases were simulated and compared. Finally, the information extracted from FEA allowed for a comparison of the performance of the lattice configurations considered herein.

Indexed as

additive manufacturingfinite element analysisspatially graded latticesthermoplastic polyurethane

Identifiers

PMID36365770
PMCPMC9654194

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.