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Record W4416426720 · doi:10.1016/j.susmat.2025.e01776

Additive manufacturing of PEKK composites with selected Martian regolith particles for in-situ resource utilization

2025· article· en· W4416426720 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSustainable materials and technologies · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsConcordia UniversityNational Research Council Canada
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsExtrusionUltimate tensile strengthComposite numberPorosityDispersion (optics)Thermal stabilityFiller (materials)AgglomerateParticle (ecology)

Abstract

fetched live from OpenAlex

Sustainable in-situ resource utilization (ISRU) requires materials and processes that minimize Earth dependency while enabling autonomous construction on Mars. This study investigates the fabrication and characterization of polyetherketoneketone (PEKK)/Martian Regolith Simulant (MRS) composite filaments optimized for additive manufacturing. By systematically reducing MRS particle size (<100 μm, <50 μm, and < 20 μm), the achievable filler loading in pulverized PEKK was progressively increased to 30 wt% without phase segregation. Filaments were produced using twin-screw extrusion and comprehensively characterized through rheological, thermal, and microstructural analyses prior to material extrusion (MEX) printing. Mechanical and thermomechanical testing of 3D-printed parts revealed that particle morphology and size distribution significantly influence porosity, interlayer adhesion, and anisotropy. SEM and EDX analyses confirmed uniform MRS dispersion and matrix infiltration into perforated silicate particles, facilitating enhanced strand fusion. At high filler contents, mechanical strength plateaued, indicating a transition in fracture mechanisms rather than continued degradation. Dynamic Mechanical Analysis (DMA) demonstrated consistent elastic behavior between 0° and 90° orientations, while thermal post-processing enhanced thermal stability but introduced porosity, particularly at intermediate filler levels. A tensile strength model incorporating filler volume fraction, porosity, and fracture mode accurately predicted experimental results across compositions. These findings establish high-loading PEKK/MRS composites as a viable material system for sustainable, recyclable ISRU-based additive manufacturing on Mars. • Developed PEKK/MRS composite filaments with up to 30 wt% regolith for AM-ISRU. • Optimized MRS particle size to achieve uniform dispersion without solid-phase segregation. • Demonstrated anisotropic mechanical behavior with inter-strand reinforcement by MRS. • Thermal post-processing improved thermal stability but affected porosity evolution. • Proposed predictive tensile strength model integrating filler fraction and porosity effects.

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.

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 score0.481
Threshold uncertainty score0.229

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.008
GPT teacher head0.214
Teacher spread0.206 · 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