FLEXICAST | Robust, and FLEXible CAST iron manufacturing
01-11-2012
-31-10-2016
01-11-2012
-31-10-2016
01-01-2015
-31-12-2017
New Ph.Ds. and Specializing courses at: POLITO in cooperation with PI,PE,IRIS,AVIO: “Second Level Specializing Master in AM”? seven young researchers TNO: Phd on thermal modeling of AM process LMS: PhD on AM modelling LMS: PhD on AM process planning
11-01-2015
-31-10-2018
Relevant for specifying these KPIs is the understanding of the what means training for higher quality workforce.
Option 1: Internal trainings of the project partners to qualify the workforce in using the ReCaM approach.
- Events: 11
- Participants: 1 to 6
Option 2: External dissemination events to spread the ReCaM approach and qualify others to contribute or use the concept. This would result in training external workforce in innovative and efficient technology. Counted are only events mainly organized by ReCaM partners (no presentation on an external conference). Exapmles: presentations of the ReCaM approach or demonstrators in front of invited potential customers or partners. lectures at Tampere University covering besides other topics also the ReCaM approach
- Events: about 55 (following the description above)
- participants: average: 30, sum: 1632
01-10-2017
-31-03-2021
01-11-2018
-31-10-2022
01-01-2019
-31-07-2022
01-01-2023
-30-06-2026
Well-known conference on Laser technology in UK, 100 participants
Largest Conference for Materials Science in Europe, 50 participants
Worlds leading international conference on Lasers and Electro-Optics, 100 participants
Focused workshop with potential users of CLASCO technology, 60 participants
Leading european conference in laser technology, 50 participants
Popular webinars on surface engineering, 100 participants
Popular webinars on surface engineering, 100 participants
Specific workshop in one of application's topic (friction/wear), 50 participants
Leading professional summer school in Germany in laser area , 30 participants
01-06-2022
-31-05-2025
01-01-2023
-31-12-2026
01-12-2019
-30-11-2022
01-01-2023
-31-12-2025
Additionally, the creation of functional surfaces has traditionally relied on processes such as chemical reactions and/or the complete coating of the native surfaces (e.g. aerofoils). Due to their very nature, these processes generate unwanted by-products thereby leaving a significant environmental footprint, which go against the “do no significant harm” principle of The European Green Deal.
01-01-2023
-31-12-2025
01-01-2023
-31-12-2025
01-09-2022
-31-08-2026
01-09-2022
-31-08-2025
01-01-2023
-31-12-2025
Big fair for the food and beverage industry
Big conference for the robotics and artificial intelligence community in Europe
100 participants
"V Sener Innovation Forum" united 200+ professionals to delve into technological disruptions.
Press release disseminated by partners in their local languages
01-06-2022
-30-11-2025
In the demonstrator of SONAE Arauco ES, the openZDM digital tools and platform will be used to achieve the following:- improvement of data collection and in-situ monitoring, namely in what concerns time-related annotation
- improvement of inspection of quality issues through artificial intelligence and digital-twin technology.
- further advances in predictive quality based on data-driven and model-driven approaches for defect prediction and quality assessment.
- improvement in manufacturing decision making for ZDM strategies and process adaptation. This will also include recommendation models for new products, an explainable AI approach for a better understanding of Machine Learning decisions and a graphical user interface through UX/UI strategies.
thus effectively support productivity through the following aspects:
1. Improved decision-making at the plant level to reduce defects towards a zero defects paradigm
2. Improved product development (faster and with less waste generated)
3. Improved evaluation of machinery components
The vision of the future process with the contribution of the openZDM solutions targets an improved decision-making at the plant level to reduce defects towards a zero defects paradigm, that will facilitate defect prediction and recommendation of production recipes to adjust machine parameters according to predicted defects. In turn, improved products can be developed using the data-driven knowledge acquired, resulting in less wasted material. Towards this direction, the openZDM project performed an LCA at the beginning ot he project to compare it with the final one and also it supports integration through its platform to an LCA tool for on-demand LCA.
OPENZDM solutions for AI quality assessment and decision support aim for data driven defect prediction and estimation of machine components degradation through drifts in data distribution. The main goal is to predict defects such as broken paper, dust or glued paper so that changes in machinery/parameters can be performed and the defect avoided and also to estimate degradation based on slight and smooth changes in the process start occurring due to component wear-out / degradation and, if data is representative enough, it may be different data distributions in time.
OPENZDM is expected to contribute to the SONAE Arauco use case in the aspects of proactive quality control towards zero-defect manufacturing through the digital twin enabled machine learning approaches for data analytics and quality assessment.
01-01-2023
-30-06-2026
01-12-2022
-31-05-2026
01-01-2023
-31-12-2026
An event to raise awareness about our project to students and the wider public, in the context of the European Researchers' night
A flagship event and exhibition organised by the EU and a great opportunity to address all stakeholders interested in innovations for the industry.
Clustering workshop with other EU-funded projects focused on manufacturing. More than 500 participants to the overall conference.
Opportunity to network with sister-projects funded by the partnership and to explore potential synergies
01-12-2022
-30-11-2025
01-01-2023
-31-12-2025
01-10-2022
-30-09-2026
01-06-2022
-31-05-2026
A workshop organised by CRIT within the spec of AMBIANCE's dissemination efforts.
01-01-2023
-30-06-2026
01-01-2023
-31-12-2026
Creation of synergy with 3 sister projects from the same Horizon Europe call: HORIZON-CL4-2022-TWIN-TRANSITION-01-03
An adaptive training programme for digital upskilling will be implemented over the entire project to prepare the workforce for the I5.0 transformation and fully exploit the potential of the technologies.
01-07-2022
-30-06-2025
This pilot focuses on reducing the CO2 emissions and energy consumption that derive from the production of Ethylene Oxide and Ethylene Glycol
01-01-2023
-30-06-2026
01-05-2022
-30-04-2025
The optimization of the use of resources during the selection of the aluminium recipes will be at the core of the IDSS with the aim of optimizing the overall process, reducing waste, and reducing polluting emissions.
To improve the efficiency of the whole value chain, AI apps will be used in predictive diagnosis of equipment efficiency to infer energy savings in production plant and maintenance optimization.
Self-X detection, self-X- diagnose and self-repair concepts will serve as a basis for the process control tool to be developed by the Steel Team.
01-06-2022
-31-05-2025
In FLEXICAST project, we have considered two types of activities: -Internal Training courses -Seminar and conferences (dissemination) We interprete in this point only the trainings for a higher quality workforce. The number of training courses = 12 courses