๐๐ถ๐ด๐ถ๐๐ฎ๐น๐ถ๐๐ฎ๐๐ถ๐ผ๐ป ๐ผ๐ณ ๐๐ต๐ฒ ๐ถ๐ป๐ท๐ฒ๐ฐ๐๐ถ๐ผ๐ป ๐บ๐ผ๐๐น๐ฑ๐ถ๐ป๐ด ๐ฝ๐ฟ๐ผ๐ฐ๐ฒ๐๐ ๐ถ๐ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ธ๐ฒ๐ ๐ฐ๐ต๐ฎ๐น๐น๐ฒ๐ป๐ด๐ฒ๐ ๐ณ๐ฎ๐ฐ๐ถ๐ป๐ด ๐๐ต๐ฒ ๐บ๐ผ๐๐น๐ฑ ๐ฎ๐ป๐ฑ ๐ฝ๐น๐ฎ๐๐๐ถ๐ฐ๐ ๐ถ๐ป๐ฑ๐๐๐๐ฟ๐.
Within the framework of the Hi-Rev Agenda, DRT Group developed an integrated system for the intelligent optimisation of the injection moulding process, combining mould engineering, cyber-physical systems, industrial monitoring and Artificial Intelligence.
The project aimed to create a digital ecosystem capable of continuously analysing, interpreting and optimising production conditions, promoting greater process stability, improved part quality and increased manufacturing efficiency.
Key developments included:
โ Development of an intelligent cooling circuit management and control system for injection moulds;
โ Integration of temperature, pressure and flow sensors for real-time process monitoring;
โ Acquisition and processing of production data from injection moulding machines, including critical process parameters;
โ Implementation of automated inspection and image acquisition systems for part quality assessment;
โ Application of Artificial Intelligence, Machine Learning and Bayesian Optimisation algorithms to support decision-making and dynamic process optimisation;
โ Design studies and simulation of conformal cooling channels manufactured through metal additive manufacturing to enhance mould thermal efficiency.
The results achieved demonstrate the potential of industrial data analytics and intelligent algorithms to reduce manufacturing defects, improve mould thermal stability, increase resource efficiency and contribute to shorter process operating times.
This work benefited from the scientific collaboration of INEGI and FEUP, whose expertise was instrumental in the development of Artificial Intelligence algorithms and the validation of the technological approaches implemented.
DRT Group’s participation in the Hi-rEV Agenda reinforces its commitment to industrial digitalisation, technological innovation and the development of advanced manufacturing solutions for the automotive industry of the future.
