ANSYS
Case Studies
Optimizing Steel Production with IoT: A Case Study of BlueScope Steel Limited
Overview
Optimizing Steel Production with IoT: A Case Study of BlueScope Steel LimitedANSYS |
Sensors - Air Pollution Sensors Sensors - Environmental Sensors | |
Metals | |
Time Sensitive Networking | |
Operational Impact
The implementation of ANSYS CFX and ANSYS DesignModeler software provided significant operational benefits to BlueScope Steel Limited. The software solutions allowed for a better understanding of the flow patterns, temperature, and concentration contours inside the kilns. This information was crucial in optimizing the operation of the kilns and potentially increasing the production rate. The software also allowed for quick changes in geometry and operating conditions, enhancing the flexibility and adaptability of the production process. Furthermore, the software solutions provided feedback in a relatively short time frame to personnel involved in operating the kilns, enabling them to make informed decisions and adjustments in a timely manner. | |
Quantitative Benefit
The solution converged in less than 200 iterations, indicating efficient computational performance. | |
The company produces 650,000 tons of steel annually, with the potential for increased production rates due to optimized kiln operation. | |
The solution was implemented on a 64-bit workstation, demonstrating the scalability of the solution. | |