Extrusion blow moulding is the standard manufacturing method for hollow plastic parts such as bottles, cans, fuel tanks and large containers. A specific example is ultra-clean containers for the microelectronic device industry.
Companies that manufacture these products need faster, more reliable, and more efficient design methods.
The goal of this experiment was to reduce the scrap rate of the foundry process. A service was needed which could predict the behaviour of the current batch of metal to reduce the amount of waste. If it were possible to adjust the process in real time, the foundry could lower energy consumption and production costs. Using historical data from previous production runs was seen as the key to this problem, but this entails data analytics requiring computing resources far in excess of those available to foundries or consultants like ProService.
Fraunhofer is a national research organization, whose institute SCAI contributes to FORTISSIMO with its expertise in two technology domains:
- advanced data analytics for big amounts of numerical simulation data and
- flexible licensing mechanisms for pay-per-use models in clouds.
The Fortissimo project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement No 609029. The Fortissimo 2 project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 680481.
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