ICRF 2026 - 5th International Conference on INGOT CASTING, ROLLING & FORGING

Session

Numerical Simulation, AI & Digital Innovation III

14 Oct 2026, 08:50

Gardenia room (Hotel Caesius Thermae & Spa Resort)

Conveners

Numerical Simulation, AI & Digital Innovation III

• Ettore Anelli (Franchini Acciai SpA)

52. Discrete Particle Modelling of Inclusion Transport and Localization in Bottom-Poured Ingots

Arianna Gotti (Trasnvalor SA)

14/10/2026, 08:50

Oral Presentation

The internal quality of large steel ingots is an important target when designing and conducting the casting and solidification process.
In bottom-poured ingots, exogenous inclusions must be minimized through proper filling system design and optimized casting practice, including suitable casting rates and correct distribution of casting powder on the liquid metal. This is often achieved by...

2. Optimization of Hot Rolling Processes Using Temperature-Dependent Ductile Damage Modelling

Chaouki TAHRI (ArcelorMittal)

14/10/2026, 09:10

Oral Presentation

Ductile damage is a major concern in hot forming processes, particularly in hot rolling, where it can compromise the mechanical integrity and performance of the final product. This work aims to minimize ductile damage risks in as-rolled bars through a combined approach of process optimization and advanced damage modeling. The optimization is carried out using Forge®, a simulation platform...

53. Machine learning models to classify non-metallic inclusions in as-cast steel ingots

Prof. Mu Wangzhong (Lulea University of Technology)

14/10/2026, 09:30

Oral Presentation

Detection and characterization of non-metallic inclusions in casting (including continuous casting and ingot casting) is essential for ensuring steel quality. In recent years, image analysis processing of metallic materials based on machine learning and deep learning has developed rapidly, which a new technical tool for detecting defects in engineering materials, e.g. steels. There are several...

3. Intelligent Integration of Reheating Furnace Control and Hot Rolling Process to Reduce Energy Losses and Delays in Steel Bar Manufacturing

Gulvir Singh (Guru Nanak Dev Engineering College, Ludhiana)

14/10/2026, 09:50

Oral Presentation

Steel ingot reheating and hot rolling are among the most energy-intensive stages of steel manufacturing, where significant thermal losses occur due to furnace inefficiencies, unplanned rolling delays, and lack of coordination between reheating and rolling operations. Conventional furnace control systems typically operate independently of downstream rolling conditions, resulting in overheating,...

35. AI-Driven Surface Inspection Enabling Automated Grinding of Forged Ingots

Dr Hannu Suopajärvi (Sapotech Oy)

14/10/2026, 10:10

Oral Presentation

Sapotech’s Reveal CAST surface inspection system has been successfully implemented in Grinding Machine-3, marking a significant advancement in automated quality control for ingot processing. The collaboration with Daido Steel began in 2019 with a demonstration project using a portable inspection unit, highlighting the high-resolution imaging capability for both forged and ground surfaces....