Effect of Exfoliated, Oxidized Molybdenum Disulfide on Mechanical and Tribological Properties of <scp>NBR</scp> / <scp>BR</scp> Blends
Bibliographic record
Abstract
ABSTRACT Enhancing wear resistance is crucial for improving the durability of rubber products while minimizing the release of rubber particles into the environment. Molybdenum disulfide (MoS 2 ) is a promising reinforcing filler, but the tendency of its sheets to stack together limits dispersion within rubber matrices. To overcome this challenge, we present a straightforward method for liquid‐phase exfoliation and partial oxidation of MoS 2 using CaCl 2 and H 2 O 2 , assisted by ultrasonication. The successful exfoliation–oxidation process is confirmed through multiple characterization techniques, all complementing each other. The effects of virgin MoS 2 (M) and exfoliated, oxidized MoS 2 (MO) on swelling behavior, mechanical performance, tribological properties, and thermal stability of an NBR/BR blend are systematically analyzed. MO sheets exhibit superior dispersion, effectively reducing wear‐induced weight loss from 15.2% in the pristine blend to 9.9% at a 4 phr MO loading. Additionally, incorporating 4 phr MO into the blend substantially enhances crosslink density (261%), tensile strength (96%), tear strength (70%), and thermal stability (63% increase in residual mass at 700°C). Notably, while adding M to the blend system enhanced these properties, the improvements were relatively lower in magnitude. These findings offer a promising approach to developing multifunctional rubber nanocomposites for industrial applications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".