MétaCan
Menu
Back to cohort

Hybrid Composite Foams Based on Pb Alloys for Lightweight Batteries

2022· article· en· W4313470237 on OpenAlexaff
A. Daoud, Atef Y. Shenouda, Malak Taher, fatma fairouz, ESSAM SHALABY, Marwa Elnady

Bibliographic record

VenueInternational Journal of Materials Technology and Innovation · 2022
Typearticle
Languageen
FieldEngineering
TopicCellular and Composite Structures
Canadian institutionsCanadian MPS Society for Mucopolysaccharide and Related Diseases
FundersScience and Technology Development FundUnited States Agency for International Development
KeywordsComposite numberMaterials scienceComposite material

Abstract

fetched live from OpenAlex

A low-cost direct melt foaming approach was used to develop a new Pb alloy-based composite foams containing hybrid of gas pores and closed cell porosity in the form of hollow ceramic particles to be alternative to the traditional Pb grids in Lead acid battery (LAB). The novel Pb alloy-based composite foams were used as plates in manufacturing of lightweight LAB. The LAB was evaluated in terms of weight saved and electrochemical performance, including cyclic voltammetry, galvanostatic polarization and specific discharge capacity. The cyclic voltammetry results of the composite foams revealed that the composite foam required a higher voltage for oxidation, indicating that Pb oxidation occurred at a slower rate in the composite foams. Galvanostatic measurements showed that the composite foam took a longer duration in the oxidation of Pb into PbSO4 , implying that the battery developed in the current work would have a longer lifespan than a conventional LAB. The specific electrical discharge capacity of the LAB made of composite foams was higher than that of traditional LAB. The density of the composite foam plate was much lower than those of the conventional Pb alloys, indicating that the weights of the composite foam plates were lower than those of the conventional lead alloys. These findings suggested that the LAB with plates made of composite foams developed in the present work can be a feasible alternative to traditional Pb grids used in LAB.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.316

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.218
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Materials Technology and InnovationSame topicCellular and Composite StructuresFrench-language works237,207