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

13–15 Oct 2026
Hotel Caesius Terme & SPA Resort - Bardolino - Verona
Europe/Rome timezone

Organising secretariat

Session

Numerical Simulation, AI & Digital Innovation IV

14 Oct 2026, 11:00
Gardenia room (Hotel Caesius Thermae & Spa Resort)

Gardenia room

Hotel Caesius Thermae & Spa Resort

Via Peschiera, 3, 37011 Bardolino VR

Conveners

Numerical Simulation, AI & Digital Innovation IV

  • Cristian Viscardi (ECOTRE Valente srl)

Presentation materials

There are no materials yet.

  1. 63. A CAD/CAE Integrated Simulation Method for the Hydraulic System of Forging Presses Based on Model Parameter Mapping
    Dr Zhiqiang He (Yanshan University)
    14/10/2026, 11:00
    Oral Presentation

    Forging presses are key equipment for the high-precision forming of large forgings, and their hydraulic systems directly determine the loading capacity, motion accuracy, and forming stability of the equipment. To address the problems in the traditional design process of forging press hydraulic systems, such as reliance on engineering experience, data disconnection between CAD structural models...

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  2. 31. An ICME‑Enabled Digital Framework for Modeling of Microstructure Evolution during Industrial Steel Casting and Forging
    Chunhui Luo (Swerim AB)
    14/10/2026, 11:20
    Oral presentation (paper for journal’s special issue)

    An Integrated Computational Materials Engineering (ICME) framework is presented for physics-based prediction of microstructure evolution in industrial steel processing, including ingot casting, reheating, and forging. The framework explicitly links macroscale process simulations with mesoscale, physics‑based, and CALPHAD‑based thermodynamic and kinetic models, enabling consistent mapping from...

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  3. 1. LEVERAGING DOWNSAMPLING AND EXPERT SYSTEMS FOR DATA-DRIVEN PROCESS OPTIMIZATION IN THE FORGING INDUSTRY
    Georg Maier (voestalpine Böhler Edelstahl GmbH & Co KG)
    14/10/2026, 11:40
    Oral Presentation

    The forging industry is increasingly turning to data-driven process optimization and artificial intelligence systems to enhance efficiency, product quality and sustainability. These technologies rely heavily on robust, high-quality databases that provide consistent and reliable data for analysis and decision making. However, in many forging shopfloors, data is often dispersed across multiple...

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  4. 56. Surrogate modeling of the cogging process in open die forging simulation
    Gustav Häggström (Swerim AB)
    14/10/2026, 12:00
    Oral presentation (paper for journal’s special issue)

    Open-die forging of ingots is one of the main hot metalworking operations in the metal industry. The operation improves the quality of the material by void removal and grain structure refinement, especially in the cogging process. To access the material quality, the internal strain evolution and final distribution are important. Previous work has focused on the use of empirical knowledge, FEM...

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  5. 64. Revitalizing Lifecycle Support for Heavy Forging Equipment – Modernization and Upgrade Strategies for Existing Manipulator Systems
    Mr Jörg Blum (DANGO & DIENENTHAL Maschinenbau GmbH)
    14/10/2026, 12:20
    Oral Presentation

    Heavy-duty forging manipulators and handling systems are typically designed for operational lifetimes extending over several decades.

    Many systems installed worldwide continue to operate successfully after more than 25 years of service.
    However, forge shop operators increasingly face challenges related to changing production requirements,
    higher load demands, outdated automation systems,...

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Building timetable...