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Record W4411404139 · doi:10.1016/j.jmrt.2025.06.142

Using the Box-Behnken experimental design to improve the biocompatibility of the powder Ti–TiB2 composite through laser surface treatment

2025· article· en· W4411404139 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Materials Research and Technology · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced materials and composites
Canadian institutionsnot available
FundersSlovenská technická univerzita v BratislaveVedecká Grantová Agentúra MŠVVaŠ SR a SAVKultúrna a Edukacná Grantová Agentúra MŠVVaŠ SRSt. Thomas University
KeywordsMaterials scienceBox–Behnken designBiocompatibilityComposite numberResponse surface methodologyLaserComposite materialNanotechnologyMetallurgyChromatographyOptics

Abstract

fetched live from OpenAlex

: The paper deals with the surface functionalization of a biocompatible powder-based composite Ti-TiB 2 prepared by spark plasma sintering, applying the fiber nanosecond laser working at 1064 nm wavelength in an ambient atmosphere. The influence of the laser pulse energy (E P ), laser beam spot overlap (O L), and laser beam trace overlap (O T ) on the integrity of the laser-treated surfaces was studied using the Box-Behnken experimental design (BBD) in order to maximize the surface osseointegration-relevant properties. The SEM analysis, surface roughness measurement, energy-dispersive X-ray spectroscopy, static contact angle measurement, and X-ray diffraction analysis were conducted to identify the surface topography, morphology, chemistry, and wettability. Finally, the multiple analysis of variance (ANOVA) and RSM methodology were performed to optimize the laser treatment parameters. Applying the second-order polynomial model, the optimal combination of process parameters was set as follows: E P = 0.3 mJ, O L = -12%, and O T = 40%. The confirmation test showed very high prediction accuracy of the surface roughness and chemistry but low prediction accuracy of the surface wettability.

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)0.001
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 score0.003
Threshold uncertainty score0.230

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.054
GPT teacher head0.359
Teacher spread0.306 · 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