At the heart of the project is an image data-based system that uses Image Processing and Machine Learning to integrate temporal changes in product qualities and process variables.

Kaiserslautern. Mathematics Meets Industry: Optimizing Production with Image-Based Condition Monitoring and Predictive Maintenance

Mathematical methods of image processing and Condition Monitoring play a key role in industrial production – in our »Re(Pro)³« project we show how predictive models help to reduce waste and optimize processes sustainably.

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Schematics of rolling of metal and pasta sheets. There is a thin horizontal sheet and long thin rollers are placed above and below the sheet. As the rollers turn, the sheet moves between them and is squeezed to reduce its thickness.

Limerick. Mathematical modelling reveals stress distributions in metal sheets

By Doireann O’Kiely, Frank Flanagan, Mozadheh Erfanian, Edward James Brambley, Omer Music & Alison O’Connor Metal sheet rolling is a manufacturing process used to change

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SIEMENS is new ECMI industrial partner

From May 2023 on ECMI very warmly welcomes Siemens AG, Technology, Simulation & Digital Twin, as a new industrial member. Siemens AG is a multi-national

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Optimizing the performance and production of a stone crushing process

Researchers from the Centre for Rapid and Sustainable Product Development (CDRSP), a research unit of the Polytechnic of Leiria, in collaboration with a metallomechanics engineering

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International Manufacturing Forum Series

The September 2021 session of the International Manufacturing Forum Series will take place next Thursday, 2nd of September, starting from 10:00 am (GMT+1), via Zoom

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AMIES – French network of mathematics for industry and society – is renewed by the French government for the period 2020 – 2024

AMIES is a founding member of Eu-Maths-In. Since 2011, AMIES has set programs in order to develop relationships between academic math departments and companies in

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I-BiDaaS – Industrial-driven Big Data as a self-service solution

Faculty of Sciences at the University of Novi Sad, Serbia, participates as a project partner in the European Union’s H2020 research and innovation project I-BiDaaS

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PhD Vacancy: Applications of Inverse Problems in Smart Manufacturing

One PhD studentship in “Applications of Inverse Problems in Smart Manufacturing”, as part of Science Foundation Ireland’s Research Centre for Smart Manufacturing​ CONFIRM and the Department of

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Patents & Mathematics, by Attila Kimpan

It is my pleasure to present to you a guest contribution by‎ Attila Kimpan of Maiwald Patentanwalts- und Rechtsanwalts-GmbH. Attila presented some of the below

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