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Record W4220818491 · doi:10.1002/er.7781

Simultaneous improvement of power density and durability of sulfonated poly(ether ether ketone) membrane by embedding <scp> CeO <sub>2</sub> ‐ATiO <sub>2</sub> </scp> : A comprehensive study in low humidity proton exchange membrane fuel cells

2022· article· en· W4220818491 on OpenAlexaff
Hariprasad Ranganathan, Mohanraj Vinothkannan, Ae Rhan Kim, Vijayapradeep Subramanian, Min‐Suk Oh, Dong Jin Yoo

Bibliographic record

VenueInternational Journal of Energy Research · 2022
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsInstitut National de la Recherche Scientifique
FundersKorea Institute of Energy Technology Evaluation and PlanningNational Research Foundation of Korea
KeywordsMaterials scienceMembraneChemical engineeringNanocompositeProton exchange membrane fuel cellThermogravimetric analysisPolymer chemistryEtherConductivityNuclear chemistryComposite materialChemistryOrganic chemistryPhysical chemistry

Abstract

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Herein, we describe the incorporation of cerium oxide-coated amine-functionalized titania nanorods (CeO2-ATiO2) as a bifunctional nanofiller in sulfonated poly(ether ether ketone) (SPEEK) as a cost-effective and high-performance proton exchange membrane (PEM) for PEM fuel cells (PEMFCs). Facile and effective functionalization of TiO2 was performed using amine-containing organic moieties, followed by coating the ATiO2 nanorods with CeO2. A simple solution casting method was employed to incorporate CeO2-ATiO2 into the SPEEK matrix with various weight ratio of 0.5%, 1%, 2%, 4%, or 6%. The successful incorporation of prepared nanofiller in the SPEEK membrane matrix was confirmed by structural and morphological studies such as Fourier transform infrared, X-ray diffractometer, scanning electron microscopy, and atomic force microscope of the SPEEK/CeO2-ATiO2 composite membranes. The presence of ATiO2 improved proton conductivity while CeO2 alleviated the chemical degradation of the membrane by scavenging free radicals. The proton conductivity of an SPEEK/CeO2-ATiO2 (2 wt%) nanocomposite membrane at 60°C under 20% relative humidity (RH) was 17.06 mS cm−1 whereas that of a bare SPEEK membrane under the same conditions was only 4.53 mS cm−1. PEMFCs containing SPEEK/CeO2-ATiO2 (2 wt%) nanocomposite membrane attained a maximum power density of 117 mW cm−2 at a load current density of 371 mA/cm2 at 60°C under 100% RH. In contrast, a PEMFC containing the bare SPEEK membrane delivered a power density of 91 mW cm−2 at a load current of 253 mA cm−2. A single cell open circuit voltage (OCV) test to examine the durability of membranes revealed that a PEMFC with an SPEEK/CeO2-ATiO2 (2 wt%) membrane showed excellent stability with an OCV decay of 0.925 mV h−1 at 60°C under 30% RH, whereas that of a PEMFC with a bare SPEEK membrane was 3.437 mV h−1 under identical conditions. Based on the abovementioned results, it is found that the SPEEK/CeO2-ATiO2 nanocomposite membranes overcome the durability issues of pristine SPEEK membranes and show enhanced electrochemical performance under a harsh PEMFC environment. Highlights CeO2-ATiO2 was utilized as a bifunctional filler to fabricate composite membrane. Integration of CeO2-ATiO2 improved the proton conductivity of sulfonated poly(ether ether ketone) (SPEEK) under low relative humidity. Addition of CeO2-ATiO2 to SPEEK resulted in improved physiochemical and thermomechanical properties. Optimized SPEEK/CeO2-ATiO2 (2 wt%) exhibited improved proton exchange membrane fuel cell performance while retaining excellent durability compared to pristine SPEEK.

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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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.272
Teacher spread0.257 · 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.

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

Citations85
Published2022
Admission routes1
Has abstractyes

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