# Metallurgical Processes and Thermodynamics

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/metallurgical-processes-and-thermodynamics/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the development, application, and optimization of thermochemical software and databases in metallurgical processes, particularly in the context of steel casting, slag chemistry, inclusion control, solidification modeling, mold fluxes, and heat recovery. The research encompasses a wide range of topics such as thermodynamic modeling, phase equilibrium, fluid flow, and the utilization of waste heat in the steelmaking industry. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | t11126 |
| Works | 19 |

## Topic papers all

Showing 15 of 19.

- [Long-Term Stability of Different Kinds of Gas Nanobubbles in Deionized and Salt Water](https://scholariq.org/papers/long-term-stability-of-different-kinds-of-gas-nanobubbles-in-deionized-and-salt/)
- [An overview on bainite formation in steels](https://scholariq.org/papers/an-overview-on-bainite-formation-in-steels/)
- [Soft magnetic nanocrystalline powders produced by mechanical alloying routes](https://scholariq.org/papers/soft-magnetic-nanocrystalline-powders-produced-by-mechanical-alloying-routes/)
- [Development of vibration style ladle slag detection methods and the key technologies](https://scholariq.org/papers/development-of-vibration-style-ladle-slag-detection-methods-and-the-key/)
- [Variations in the induction period for particle–bubble attachment](https://scholariq.org/papers/variations-in-the-induction-period-for-particle-bubble-attachment/)
- [Attention mechanism-based deep learning for heat load prediction in blast furnace ironmaking process](https://scholariq.org/papers/attention-mechanism-based-deep-learning-for-heat-load-prediction-in-blast/)
- [Sequential multi-scale modelling of mineral processing operations, with application to flotation cells](https://scholariq.org/papers/sequential-multi-scale-modelling-of-mineral-processing-operations-with/)
- [Comprehensive Electric Arc Furnace Electric Energy Consumption Modeling: A Pilot Study](https://scholariq.org/papers/comprehensive-electric-arc-furnace-electric-energy-consumption-modeling-a-pilot/)
- [The Use of Artificial Neural Network for Prediction of Dissolution Kinetics](https://scholariq.org/papers/the-use-of-artificial-neural-network-for-prediction-of-dissolution-kinetics/)
- [Application of the Genetic Programming for Increasing the Soft Annealing Productivity in Steel Industry](https://scholariq.org/papers/application-of-the-genetic-programming-for-increasing-the-soft-annealing/)
- [Numerical investigation and deep learning-based prediction of heat transfer characteristics and bubble dynamics of subcooled flow boiling in a vertical tube](https://scholariq.org/papers/numerical-investigation-and-deep-learning-based-prediction-of-heat-transfer/)
- [Optimisation of dual purging location for better mixing in ladle: a water model study](https://scholariq.org/papers/optimisation-of-dual-purging-location-for-better-mixing-in-ladle-a-water-model/)
- [Two-way shape memory effect in Fe-28.8 at.% Pd melt-spun ribbons](https://scholariq.org/papers/two-way-shape-memory-effect-in-fe-28-8-at-pd-melt-spun-ribbons/)
- [Relationship between Flow Characteristics and Surface Quality in Inclined Twin Roll Strip Casting.](https://scholariq.org/papers/relationship-between-flow-characteristics-and-surface-quality-in-inclined-twin/)
- [Ultrasonic measurements of Young's modulus of Al2O3-based refractories at high temperatures](https://scholariq.org/papers/ultrasonic-measurements-of-young-s-modulus-of-al2o3-based-refractories-at-high/)

## Topic primary papers

- [Development of vibration style ladle slag detection methods and the key technologies](https://scholariq.org/papers/development-of-vibration-style-ladle-slag-detection-methods-and-the-key/)
- [Comprehensive Electric Arc Furnace Electric Energy Consumption Modeling: A Pilot Study](https://scholariq.org/papers/comprehensive-electric-arc-furnace-electric-energy-consumption-modeling-a-pilot/)
- [The Use of Artificial Neural Network for Prediction of Dissolution Kinetics](https://scholariq.org/papers/the-use-of-artificial-neural-network-for-prediction-of-dissolution-kinetics/)
- [Application of the Genetic Programming for Increasing the Soft Annealing Productivity in Steel Industry](https://scholariq.org/papers/application-of-the-genetic-programming-for-increasing-the-soft-annealing/)
- [Optimisation of dual purging location for better mixing in ladle: a water model study](https://scholariq.org/papers/optimisation-of-dual-purging-location-for-better-mixing-in-ladle-a-water-model/)
- [Relationship between Flow Characteristics and Surface Quality in Inclined Twin Roll Strip Casting.](https://scholariq.org/papers/relationship-between-flow-characteristics-and-surface-quality-in-inclined-twin/)
- [The impact of frequency and power on the ultrasonic purification of aluminum alloy](https://scholariq.org/papers/the-impact-of-frequency-and-power-on-the-ultrasonic-purification-of-aluminum/)
- [Numerical simulation of the deformation risk in thin slab continuous casting process with liquid core reduction](https://scholariq.org/papers/numerical-simulation-of-the-deformation-risk-in-thin-slab-continuous-casting/)
- [Innovative machine learning based approach for reliable and accurate measurement of guide roll alignment in continuous casting plants](https://scholariq.org/papers/innovative-machine-learning-based-approach-for-reliable-and-accurate-measurement/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.