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Explore EIT Manufacturing Academy’s extensive training catalogue, offering a diverse range of learning activities including digital modules, live sessions, blended training, and hands-on practice. Whether you prefer flexible online learning or interactive in-person experiences, browse our comprehensive list where featured selections are highlighted for your convenience. Discover your path to success with us today!
Come Applicare la Tomografia Ottica all'Additive Manufacturing (AM)
Questa lezione presenterà i vantaggi dell'utilizzo della tomografia ottica per analizzare diversi materiali utilizzati nell’Additive Manufacturing.
Industry 4.0, digitalisation and Digital Process Twin
This learning nugget explores the concept of the Digital Process Twin in the context of Industry 4.0. The nugget highlights the core principles of the Digital Process Twin and it also addresses the implementation challenges of the Digital Process Twin, such as data availability, integration, cybersecurity, and change management. By understanding these principles and challenges, the student will gain insights into how the Digital Process Twin can enhance performance, efficiency, and innovation in the manufacturing industry.
Tecnologie e Materiali dell’Additive Manufacturing (AM) per la Green Industry
Questo nugget vi guida attraverso le diverse tecnologie e i materiali per la manifattura additiva (AM) in linea con i principi di economia circolare.
Theoretical framework for Digital Twin modelling, optimization and control
This nugget delves into the theoretical framework of Digital Twins, highlighting the significance of integrating real-time data for accurate modeling, optimization, and autonomous control of physical assets. Utilizing data-driven optimization and machine learning techniques enhances Digital Twins' predictive abilities, ensuring adaptability to changing conditions and heightened accuracy in forecasting the behavior of physical assets.
Detecting dataset and prediction shifts for machine learning models
This nugget will guide the learner through different metrics for the detection of dataset shifts
Dataset shifts for prediction performance degradation in machine learning
Conceptualization of dataset shift in machine learning performance degradation
The concept of digital twin technology and its benefits in the manufacturing industry for sustainability
This learning nugget introduces the concept of Digital Twin technology and its transformative impact on the manufacturing industry. Participants will explore the benefits of Digital Twins in optimizing operations, reducing environmental impact, and achieving sustainability goals.
Wire Arc Additive Manufacturing (WAAM) Technology as an enabler for Raw Materials Saving
This nugget refers to AM as a critical raw materials saving enabler. After explanation of the basic concepts an application use case is presented.