IN ORDER TO OBTAIN A HIGH GROUND AGAINST THE METAL COMPACTION PROCESS, PRODUCED BY COMPATTATRICI PRESSES, THERE IS CURRENTLY A NEED FOR QUALITY CHECKS AND MANUAL SETTING OF PRODUCTION PARAMETERS AT REGULAR INTERVALS WHICH REQUIRE LONG STAFF TRAINING. THESE CHECKS AND ADJUSTMENTS ARE ONE OF THE MAIN OBSTACLES TO ACHIEVING AN ECONOMIC, EFFICIENT AND RESPECTFUL NATURE OF THE ENVIRONMENT, WHICH IS NOW NECESSARY IN ORDER TO MAINTAIN ITS COMPETITIVENESS. THE PROJECT ADDRESSES THIS CHALLENGE BY DEVELOPING NEW METHODS AND TOOLS TO INCREASE SOLIDITY AND FLEXIBILITY OF THE COMPACTION PROCESS. TO THIS END, MACHINE LEARNING METHODS WILL BE DEVELOPED IN ORDER TO (I) IDENTIFY THE KEY PARAMETERS DEFINING THE PROCESS AND QUALITY OF THE ARTEFACTS; (II) MODEL THE METAL COMPACTION METALLURGY PROCESS IN OPERATION. MODEL D