Evidence map›Paper›PMID 31141976›Full record

ArticleMaterials (Basel, Switzerland)2019

Optimal Design of Shape Memory Alloy Compositeunder Deflection Constraint.

Yogesh Gandhi, Alessandro Pirondi, Luca Collini

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yogesh GandhiDepartment of Engineering and Architecture, University of Parma, Parco Area delle Scienze, 181/A,43124 Parma, Italy. yogesh.gandhi@unipr.it.
Alessandro PirondiDepartment of Engineering and Architecture, University of Parma, Parco Area delle Scienze, 181/A,43124 Parma, Italy. alessandro.pirondi@unipr.it.
Luca ColliniDepartment of Engineering and Architecture, University of Parma, Parco Area delle Scienze, 181/A,43124 Parma, Italy. luca.collini@unipr.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shape-adaptive or morphing capability in both aerospace structures and wind turbineblade design is regarded as significant to increase aerodynamic performance and simplifymechanisms by reducing the number of moving parts. The underlying bistable behavior ofasymmetric cross-ply composites makes them a suitable candidate for morphing applications. Todate, various theoretical and experiential studies have been carried out to understand and predictthe bistable behavior of asymmetric laminates and especially the curvature obtained in their stableconfigurations. However, when the bi-stable composite plate is integrated with shape memory alloywires to control the curvature and to snap from a stable configuration to the other (shape memoryalloy composite, SMAC), the identification of the design parameters, namely laminate edge length,ply thickness and ply orientation, is not straightforward. The aim of this article is to present theformulation of an optimization problem for the parameters of an asymmetric composite laminateintegrated with pre-stressed shape memory alloys (SMA) wires under bi-stability and a minimumdeflection requirement. Wires are modeled as an additional ply placed at the mid-plane of thecomposite host plate. The optimization problem is solved numerically in MATLAB and optimaldesign variables are then used to model the SMAC in ABAQUS™. Finite element results arecompared against numerical results for validation.

Indexed as

bistabilitynumerical optimizationshape memory alloysmart compositesnap-through

Identifiers

PMID31141976
PMCPMC6600753

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.