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Contenido archivado el 2024-04-30

Automatic optimisation of the injection moulding process

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultados aprovechables

Two optimisation systems have been built. Trials of the first optimisation system (OPTIM 1) were carried out at CEMEF in France. The equipment was then transferred to Bonaplast in Greece. This provided the opportunity to assess the system in an industrial production environment. This OPTIM I system uses a robot to move the moulded plastic products to three measurement stations (gloss, dimensions and weight). Data on the properties of the moulded product are passed to three artificial intelligence modules together with process information such as the melt viscosity. Feedback is then provided through a control module to alter the setting parameters on the injection moulding machine. A video has been produced illustrating how the system works. During the industrial trials the failure of a hot runner was successfully detected and a number of product quality features improved. However, the trials carried out in this research project have not yet been extensive enough to demonstrate the commercial benefit that would be needed for immediate commercialisation, although the technology looks promising. Several innovations have occurred during the course of the project. These include; new artificial intelligence software, making use of plastic component quality inputs and process inputs, automatic gloss measurement, in-line measurement of viscosity, automatic in-line measurement of plastic components dimensions, novel combination of robotics, and automatic plastic component measurement with artificial intelligence. In addition, novel data analysis software has been written to automatically identify key points in the injection cycle, a gloss-meter has been built that can work in a scanning mode and a design procedure for manufacturing instrumented injection moulding nozzles has been developed. A patent has also been filed on this optimisation system. A second optimisation system has been developed which works without the need to have on-line component measurements. It requires to be �trained� through trials to establish mathematical relationships between the quality features (measured off-line) and the machine settings. In-line process data, also taken from an instrumented nozzle, are available in this optimisation system. Novel software has also been written to carry out optimisation with these inputs. Injection moulding trials have been carried out at Mecaplast on automotive components. For example, a fuel rail was moulded under a range of conditions and the pressures and temperatures in the mould compared with component quality features (e.g. length and the weight). As with the first optimisation system it is still too early to draw firm conclusions about specific commercial benefits.

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