Maintaining precise bath temperature (958±2°C) is crucial for efficient aluminum production. However...
Resources Listing
Use Cases
May 23, 2024 8:02:11 PM
Aluminum production – Optimized Feed Strategy for ALF3
Maintaining precise bath temperature (958±2°C) is crucial for efficient aluminum production. However, existing controllers often struggle to regulate temperature, causing fluctuations in both temperature and ALF3 mass. This use case explores developing an optimized ALF3 feed strategy to address these challenges. By leveraging advanced control algorithms, we aim to minimize fluctuations and enhance...
Use Cases
May 23, 2024 7:55:07 PM
Rolling Process Optimization for Electrical Steel
Achieving high magnetic flux density and low magnetic core loss in electrical steels is contingent upon various metallurgical and operational factors, including texture, grain size, chemical composition, and coiling temperature. However, optimizing the rolling process to meet these requirements presents a significant challenge. This project focuses on addressing this challenge by optimizing rollin...
Use Cases
May 23, 2024 7:54:01 PM
Data Driven Root-Cause Analysis
The occurrence of two electrodes being remelted from a single ingot has resulted in the rejection of defective ingots, with one deemed acceptable and the other rejected due to transverse cracks. This project aims to conduct a thorough root-cause analysis using data-driven methodologies. By analyzing relevant data points and patterns, we seek to identify the underlying factors contributing to the d...
Use Cases
May 23, 2024 7:53:08 PM
Nozzle Clogging Prediction during Continuous Casting
Nozzle clogging is a major contributor to oxide inclusions in steel, impacting the cleanliness of the final product. These clogs frequently interrupt the casting process, resulting in downtime and diminished productivity. This project is dedicated to developing predictive models for anticipating nozzle clogging during continuous casting. By leveraging historical data and advanced analytics, operat...
Use Cases
May 23, 2024 7:51:49 PM
Silicon Content Prediction of Hot Metal in Blast Furnace
The silicon content of molten iron serves as a crucial indicator of temperature trends within a blast furnace. However, the wide variation in silicon content and the time delay in offline analysis pose challenges for operators in assessing the furnace's thermal operating conditions. This project focuses on developing predictive models to anticipate silicon content in hot metal, leveraging real-tim...
Use Cases
May 23, 2024 7:50:49 PM
Hanging Prediction in Blast Furnace
Operating under intricate and dynamic conditions, blast furnaces are susceptible to hanging events influenced by numerous parameters. However, the interior of a blast furnace is inaccessible and challenging to monitor directly, hindering the real-time detection of hanging incidents. This project focuses on developing predictive models to anticipate hanging events in blast furnaces. By leveraging a...
Use Cases
May 23, 2024 7:49:57 PM
Real-Time Deployment of BTP Prediction Model in Sinter Plant
Ensuring the quality and productivity of sinter production in the iron industry relies heavily on monitoring and maintaining the Burn-Through Temperature (BTP) position and temperature. However, critical data such as %coke, coke fines, and sinter bed were previously unavailable, posing challenges to effective monitoring and prediction. This initiative focuses on deploying a real-time BTP predictio...
Use Cases
May 23, 2024 7:48:52 PM
Predictive Maintenance of Heat Exchanger
Fouling, the unwanted deposition of materials on heat transfer surfaces, poses a significant threat to the efficiency of heat exchangers in process heating and cooling applications. By insulating heat transfer surfaces and impeding heat exchange, fouling undermines overall efficiency. Predicting the end-of-cycle (EOC) for a heat exchanger due to fouling is a persistent challenge across industries....
Use Cases
May 23, 2024 7:47:58 PM
Predict Conveyor Belt Tensioning Date
Predicting the optimal conveyor belt tensioning date is essential in the mining industry, where conveyor belts play a critical role in material transport. Over time, belts can stretch and wear, necessitating precise tension adjustments to prevent misalignments and failures. Accurate predictions help ensure smooth operations and minimize costly unplanned downtime.
Use Cases
May 23, 2024 7:45:58 PM
Truck Fleet Maintenance Management
With each truck averaging a value of over $3 million, these assets are indispensable to mining operations. This initiative focuses on implementing proactive maintenance strategies to monitor and maintain the health of truck fleets effectively. By leveraging advanced monitoring systems and predictive maintenance techniques, operators can maximize uptime, extend asset lifespan, and ensure the smooth...
Achieving high magnetic flux density and low magnetic core loss in electrical steels is contingent u...
The occurrence of two electrodes being remelted from a single ingot has resulted in the rejection of...
Nozzle clogging is a major contributor to oxide inclusions in steel, impacting the cleanliness of th...
The silicon content of molten iron serves as a crucial indicator of temperature trends within a blas...
Operating under intricate and dynamic conditions, blast furnaces are susceptible to hanging events i...
Ensuring the quality and productivity of sinter production in the iron industry relies heavily on mo...
Fouling, the unwanted deposition of materials on heat transfer surfaces, poses a significant threat ...
Predicting the optimal conveyor belt tensioning date is essential in the mining industry, where conv...
With each truck averaging a value of over $3 million, these assets are indispensable to mining opera...