Projects overview
DREAM | Driving up Reliability and Efficiency of Additive Manufacturing
01-10-2016
-31-12-2019
DES-MOLD | Feature-Based Design and Modelling for Injection-molding Optimization
01-09-2012
-31-08-2015
DAPHNE | Development of adaptive ProductioN systems for Eco-efficient firing processes
01-10-2012
-30-09-2015
DynaMill | Dynamic manufacturing of thin-walled work pieces by Milling process
01-11-2012
-31-10-2015
BRIDLE | BRilliant Industrial Diode LasEr
01-09-2012
-31-08-2015
MUSIC | MUlti-layers control&cognitive System to drive metal and plastic production line for Injected Components
01-09-2012
-31-08-2016
The first successuful testing and applications are referred to SMEs
The challenge is the sensorization and data acquisition in the existing equipment not properly designed.
The data miming, real-time alerting and cognitive predictive meta-modelling is not a chimera.
POWER-OM | Power consumption driven Reliability, Operation and Maintenance optimisation
01-08-2012
-31-07-2015
PAN-ROBOTS | Plug And Navigate ROBOTS for smart factories
01-11-2012
-31-10-2015
SUPREME | SUstainable PREdictive Maintenance for manufacturing Equipment
01-09-2012
-31-08-2015
PRIME | Plug and PRoduce Intelligent Multi Agent Environment based on Standard Technology
01-11-2012
-31-10-2015
LIAA | Lean Intelligent Assembly Automation
02-09-2013
-01-09-2017
FIBREMAP | Automatic Mapping of Fibre Orientation for Draping of Carbon Fibre Parts
01-09-2013
-31-08-2016
MANSYS | MANufacturing decision and supply chain management SYStem for additive manufacturing
01-07-2013
-30-06-2016
FiaD | Factory-in-a-day
01-10-2013
-30-09-2017
HINMICO | High throughput integrated technologies for multimaterial functional Micro Components
01-10-2013
-30-09-2016
INCOM | Industrial Production Processes for Nanoreinforced Composite Structures
01-09-2013
-31-08-2017
COMVANTAGE | Collaborative Manufacturing Network for Competitive Advantage
01-09-2011
-31-08-2014
The data-driven digital twin in production line is a solution to measure, analyze and react oriented to zero defect manufacturing and to the maximization of the OEE improving the sustainability and profit of factory of future.
The application of Smart Prod ACTIVE system has been demonstrated and validated at foundry level. In the frame of HPDC production process, Operator and Process manager take advantage by adopting a centralized remote control system supporting process monitoring and quality prediction in real time. The decision is supported by cause-effect correlations, and proper reactions suggested by a continuously updated meta-model. Re-usability and flexibility of the Smart Prod ACTIVE system also allow agile re-start in case of small batches production
The same aproach is valid of any multi-stages production chain to produce part for all industrial sectors.