This is a research-led module which aims at bridging the relationships between fundamental research and industrial needs, introducing advanced manufacturing technologies powered by machine learning/artificial intelligence and high-fidelity modelling to solve real-life problems. A number of case studies from industry-led projects (laser beam welding) will be presented to demonstrate the principles. Hands-onsessions using Matlab will be offered with a “learning by doing” approach. Objectives: - Uncertainty quantification and modelling: introduction to Monte Carlo simulation and polynomial chaos with examples of applications from automotive and aerospace industry - Multi-objective optimisation with large parameter space: fundamentals of optimisation techniques (gradient-based and heuristic approaches) - Introduction to machine learning (the “black box”): focus on regression and classification techniques with use cases in laser material processing - Introduction to high-fidelity modelling (the “white box”): physicsbased modelling focused at multi-physical and multi-scale approaches with examples of applications ranging from bio-medical to manufacturing - Introduction to the principles of physics-informed neural networks (the “gray box”): we’ll introduce the idea of incorporating the first principle equations (PDEs, ODEs, etc.) into the loss function of the neural networks, transforming our capacity to monitor and control systems through the synergistic use of high-fidelity models and predictive tools.

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This is a research-led module which aims at bridging the relationships between fundamental research and industrial needs, introducing advanced manufacturing technologies powered by machine learning/artificial intelligence and high-fidelity modelling to solve real-life problems. Guest lecturer: - Pasquale Franciosa (Associate Professor and Head of the Laser Beam Welding laboratoriy at WMG): Reader and Head of the Laser Beam Welding laboratory at WMG, The University of Warwick. My focus is on laser-to-material interaction and development of advanced laser welding processes powered by ML/AI with multi-disciplinary optimisation and computational approaches/finite element methods. In 2010 PhD in Mechanical Engineering Systems at the University of Naples Federico II discussing the thesis on dimensional control of autobody structures. Prior to that Teaching Assistant at MIT (Boston - USA) undertaking research on robotics, motion and constraint analysis. In 2007 Visiting Scholar at the Institut Supérieur de Mécanique de Paris – SUPMECA (Paris - France) working on modelling and simulation of sheet-metal assembly deformations.

In presenza

Presentazione orale

P.D.2-2 - Giugno

Le lezioni si terranno 8-9-10 Luglio-2025