Evaluation of Stress State in a Brick Lining of a Hot Rotary Kiln due to Material and Design Change
Bibliographic record
Abstract
Rotary kilns are important in a variety of manufacturing areas, where production of cement clinkers, iron-ore pellets and lime are some of the products.A rotary kiln simply consists of a cylindrical steel casing lined with refractories in order to protect the casing from high temperatures.The dimensions of a rotary kiln vary between some 10 to 180 m in length and 2 to 8 m in diameter.Damage of the refractory lining is common and can potentially lead to production shut-downs and high production losses.Due to the harsh inner environment and the large dimensions of the kiln it is difficult to observe and evaluate the kiln while in servicehindering the improvements of the kiln.Therefore, it is advantageous to perform computer simulations and potentially improve the design, the material choice and operation of the kiln based on the numerical results.A finite element model (FEM) of a rotary kiln was previously created for studying stress state of the brick lining under various conditions, see [1] and [2].In this work the model will be used for the evaluation of stress state of the lining due to material and design change of the lining.The lining will be studied in hot condition during time-dependent events, such as heating of the kiln.Preliminary results show that stresses in the lining are much higher during heating of the kiln compared to steady state conditions.Conservative change (<10 %) of brick thickness has insignificant influence on the stress levels in the brick lining.Chang of material parameters, such as elastic modulus and thermal expansion coefficient, leads in general to a proportional increase or decrease of stresses in the brick lining.The purpose of this study is to investigate if it is possible to suggest an improved design and material choice based on the conducted thermo-mechanical evaluation.The commercial FE-software, LS-DYNA, is used for the numerical simulations of the kiln and the standalone package, LS-OPT, for the calibration of the heat transfer coefficients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".