I-BiDaaS - CRF - Aluminium die-casting Synthetic Dataset

The dataset has been generated after receiving unstructured sets of a large amount of heterogeneous data from several sources and levels from the production line. CRF analysed all information and selected seventeen parameters (e.g. piston speed in the first and second phase, piston stroke, intensification pressures) of the production of the engine block by die-casting. The synthetic dataset was generated in order to analyse the provided parameters and try to cluster them by identifying those that are most representative of each cluster. The clusterization is useful to identify the behaviour of parameters and help to understand those that affect the quality of the process and products.