Thermodynamic and kinetic analyses of high temperature oxidation of 316L stainless steel
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Bibliographic record
Abstract
This study investigates the thermodynamic behavior and non-isothermal oxidation kinetics of 316L stainless steel in the temperature range of 1100 K - 1373 K, with relevance to the heat-affected zone during welding in oil and gas pipeline applications. Thermogravimetric analysis was performed at heating rates of 5, 10, 15, 20, and 25 K/min study the high-temperature oxidation kinetics of AISI 316L stainless steel welds. Kinetic analysis was conducted using Kennedy-Clark and Coats-Redfern methods as well as Friedman, Starink, Kissinger-Akahira-Sunose, and Flynn-Wall-Ozawa model-free isoconversional methods. Activation energies determined using isoconversional models ranged from 224.79 to 233.81 kJ/mol. The second-order (F2) and third-order (F3) reaction models provided the best fit to the experimental data, as confirmed by Criado master plot analysis. Thermodynamic properties (ΔH ≠ . , ΔS ≠ . , ΔG ≠ ) were also calculated for isocoversional models. FactSage thermochemical simulations revealed the formation of a dual-layer protective oxide scale primarily composed of spinel and corundum phases. These oxide layers enhance oxidation resistance at high temperatures. The findings contribute to a mechanistic and kinetic understanding of high-temperature oxidation in 316L stainless steel, supporting its reliable application in demanding oil and gas environments. • Kinetic analysis of 316LSS oxidation using isoconversional and model-fitting methods. • Identification of solid-state reaction mechanisms through Criado master plot analysis. • Thermochemical validation of oxidation products using FactSage simulations • Integrating multiple kinetic approaches to enhance the accuracy of E a determination.
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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) | 0.000 | 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 it