Interfacial Thickness-Induced Tensile Strengthening Effect of 3D-Printed Interactive Bimaterial Specimens
Bibliographic record
Abstract
Functional materials fabricated by using 3D printing are an emerging and cutting-edge research branch in the field of advanced energy, and the mechanical behavior of bimaterial composites is crucial for designing structures with enhanced strength, toughness, and multifunctionality. In this work, the thickness-induced tensile strengthening effect in 3D-printed bimaterial specimens was investigated. Specimens with varying layer thicknesses were fabricated by using a vat photopolymerization (VPP) multimaterial 3D printing process, and tensile tests were conducted to analyze the impact of thickness on the interfacial interaction and overall tensile strength. The experimental results show that reducing the layer thickness of the specimen to 0.2 mm significantly enhances the tensile strength due to improved interfacial bonding and material synergy. The finite element model of the transition region with the equivalent interfacial layer is established based on the microscopic morphology at the interface. Finite element analysis confirmed the experimental results, showing that reducing the layer thickness is beneficial for enhancing tensile strength in bimaterial structures.
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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".