Evidence map›Paper›PMID 34947255›Full record

ArticleMaterials (Basel, Switzerland)2021

Corrosion Behavior in Volcanic Soils: In Search of Candidate Materials for Thermoelectric Devices.

Carlos Berlanga-Labari, Leyre Catalán, José F Palacio, Gurutze Pérez, David Astrain

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2021. 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

5 authors.

Carlos Berlanga-LabariInstitute for Advanced Materials and Mathematics (INAMAT2), Engineering Department, Public University of Navarre, Campus Arrosadía, 31006 Pamplona, Spain.ORCID 0000-0002-7069-3768
Leyre CatalánInstitute of Smart Cities (ISC), Engineering Department, Public University of Navarre, Campus Arrosadía, 31006 Pamplona, Spain.ORCID 0000-0003-0140-6689
José F PalacioCentre of Advanced Surface Engineering (AIN), Carretera de Pamplona 1, 31191 Cordovilla, Spain.ORCID 0000-0002-7479-8655
Gurutze PérezInstitute of Smart Cities (ISC), Engineering Department, Public University of Navarre, Campus Arrosadía, 31006 Pamplona, Spain.ORCID 0000-0002-7425-3591
David AstrainInstitute of Smart Cities (ISC), Engineering Department, Public University of Navarre, Campus Arrosadía, 31006 Pamplona, Spain.ORCID 0000-0002-6987-0640

Funding

Spanish Ministry of Science and Innovation number RTI2018-093501-B-C22
6 · The paper itself

Abstract

Thermoelectric generators have emerged as an excellent solution for the energy supply of volcanic monitoring stations due to their compactness and continuous power generation. Nevertheless, in order to become a completely viable solution, it is necessary to ensure that their materials are able to resist in the acidic environment characteristic of volcanoes. Hence, the main objective of this work is to study the resistance to corrosion of six different metallic materials that are candidates for use in the heat exchangers. For this purpose, the metal probes have been buried for one year in the soil of the Teide volcano (Spain) and their corrosion behavior has been evaluated by using different techniques (OM, SEM, and XRD). The results have shown excessive corrosion damage to the copper, brass, and galvanized steel tubes. After evaluating the corrosion behavior and thermoelectric performance, AISI 304 and AISI 316 stainless steels are proposed for use as heat exchangers in thermoelectric devices in volcanic environments.

Indexed as

corrosionmaterials selectionsoil corrosionthermoelectricity

Identifiers

PMID34947255
PMCPMC8708181

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.