EXAMINATION OF ALUMINIUM PROFILES USING ARTIFICIAL INTELLIGENT METHODS

The extrusion process produces massive amounts of profiles for different purposes. Aluminium is one of the most used materials in this process. Its alloys 6000 series represent great balance between elasticity and hardness and also have great extrusion characteristics. Artificial intelligence and its sub branches like machine learning (ML), deep learning (DL), neural networks (NN) and others, can aid in advancing quality of production. By training different models of AI, we can acquire many conclusions that will increase production quality. The goal of the research in this work is reflected in the application of existing machine learning algorithms on the database with the use of Python and Anaconda programs in order to determine which aluminum alloy meets the mechanical criteria of certain profiles. The focus of the research is the mechanical properties of aluminum profiles with the addition of statistical data.