Enhancement of Mechanical Properties in Copper Matrix Composites Through Cold and Hot Powder Compaction Techniques
Bibliographic record
Abstract
Particulate Copper Matrix Composites (PCMCs.)are a class of advanced materials that combine copper as the matrix material with a dispersion of particles.These PCMCs.exhibit excellent wear resistance, machinability, cold workability, fatigue resistance, and corrosion resistance, and are capable of operating under extremely harsh conditions.In the current study, ten distinct stoichiometric of PCMCs.were prepared by reinforcing a copper matrix (20 wt.% Cu) with two types of reinforcing particles (namely: CuO and Al2O3) in order to produce particulate composite (Cu-CuO-Al2O3 system).According to the sequence, these samples were subjected to two thermal processes.In the first heat treatment, the samples were exposed to 900 for sixty minutes.Then, we subject these samples to a second heat treatment at 1150 for 15 minutes.Following each heat treatment, microhardness, diametral compression, and estimated tensile strength were measured.It was found that at cold compaction, the estimated tensile strength, diametral compression strength, and microhardness increase with increasing the weight percentage of aluminum oxide powder and decrease with the weight percentage of CuO powder at constant (20 wt.%) of Cu powder for our composite system.When cold compacted with composite (Cu-CuO-Al2O3) powders with a 50 wt.% addition of alumina (Al2O3), the results indicate that a specimen possesses good mechanical properties, including microhardness, surface roughness, tensile strength, and diametral compression strength.It is found that at hot compaction, the tensile strength, diametral compression, and microhardness increase with increasing a percentage of aluminum oxide rather than the copper oxide powder at constant copper powder for the composite system used.The specimen C10, (20% Cu, 30% CuO, and 50% Al2O3), had superior mechanical properties to the other samples after the initial heat treatment.Nonetheless, a second heat treatment revealed that the specimen C7, (20% Cu, 45% CuO, and 35% Al2O3), has a higher value for mechanical properties and a low compact density.Taking into account the aforementioned factors, it was determined from the experimental results that the tensile strength and microhardness, increased during fusion for both types of reinforcing materials used in composite powders.This property improved as the percentage of copper and copper oxide powders increased during hot compaction at temperatures above 1100.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".