Pilot - MONDRAGON Zero defect and Autonomous Quality in Machinery Building for Capital Goods sector
Project: QU4LITY
Updated at: 01-02-2024
Project: QU4LITY
Updated at: 01-02-2024
Project: QU4LITY
Updated at: 01-02-2024
Project: QU4LITY
Updated at: 01-02-2024
Project: QU4LITY
Updated at: 01-02-2024
Project: QU4LITY
Updated at: 01-02-2024
Project: QU4LITY
Updated at: 01-02-2024
Project: QU4LITY
Updated at: 01-02-2024
Project: QU4LITY
Updated at: 01-02-2024
Project: QU4LITY
Updated at: 01-02-2024
Project: QU4LITY
Updated at: 01-02-2024
Project: QU4LITY
Updated at: 01-02-2024
Project: BOREALIS
Updated at: 01-02-2024
Project: BOREALIS
Updated at: 01-02-2024
Project: BOREALIS
Updated at: 01-02-2024
Project: BOREALIS
Updated at: 31-01-2024
Project: MERGING
Updated at: 25-01-2024
Project: MERGING
Updated at: 25-01-2024
Project: MERGING
Updated at: 25-01-2024
Project: MERGING
Updated at: 25-01-2024
Project: MERGING
Updated at: 25-01-2024
Project: MERGING
Updated at: 25-01-2024
Project: AI REGIO
Updated at: 25-01-2024
Project: SatisFactory
Updated at: 23-01-2024
Project: SatisFactory
Updated at: 23-01-2024
Project: SatisFactory
Updated at: 23-01-2024
Project: SatisFactory
Updated at: 23-01-2024
Project: CREMA
Updated at: 19-01-2024
Project: CREMA
Updated at: 19-01-2024
Project: COALA
Updated at: 16-01-2024
Project: CloudiFacturing
Updated at: 12-01-2024
Creating a numerical model of whole water quench with all necessary details and containing all physical processes are the challenges to be faced. Guidelines for operational conditions of quenching machine based on various inputs, such as profile shape and temperatures, will be derived by elaborating a numerical model of quenching process, carrying out CFD simulation using HPC resources and validating the reliability of simulation results by physical experiments.