Study of Processing Parameters and Aging Treatments on Relative Density and Microhardness of Additively Manufactured Maraging Steel
Bibliographic record
Abstract
<div>This research examined maraging steel (C300), which is widely used in the automotive industry. The study investigated how various 3D printing parameters—laser power (P), scanning speed (V), and layer spacing (H)—as well as post-processing heat treatment factors such as time (t) and temperature (T) affect the properties of C300 steel produced via selective laser melting (SLM). The primary properties assessed included relative density, porosity, hardness, and microstructure. The first part of the analysis focused on how processing parameters, time, and temperature influenced porosity types and manufacturing defects. Subsequently, ANOVA was employed to explore the sensitivity of relative density and microhardness to these parameters. The results revealed an optimal combination of parameters that improved both microstructural and mechanical properties. Additionally, the post-processing heat treatment was found to impact microhardness by modifying the microstructure and martensite lath size, with both the processing parameters and treatments affecting the material’s porosity and relative density.</div>
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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) | 0.000 | 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".