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Full Description
This book presents selected contributions covering various scientific and technological areas by AITeM (Italian Manufacturing Association). The first part, "AITeM Young Researcher Award 2025," written by young AITeM associates, reflects the multifaceted nature of manufacturing research. It explores emerging technologies and interdisciplinary connections to go beyond product fabrication, developing a complex value creation ecosystem for high-value-added global competition. Topics include additive manufacturing, materials processing technology, assembly, disassembly, circular economy, manufacturing systems design and management, quality engineering, production metrology, process and system simulation, optimization, and digital manufacturing.
The second part, "White Papers," features three contributions on emerging trends in manufacturing. This book is prepared by Working Groups focusing on strategic research topics in the manufacturing sector, including adaptive processes for the manufacturing of welded profiles and tubes, sustainable and innovative production processes for composite materials, machining for aerospace. This book provides an overview of challenges in these frontier areas, highlighting the need for a multidisciplinary and innovative approach from the community to successfully address them.
Contents
A comparative analysis of AA6061 and AlSi10Mg processed via Friction Stir Extrusion.- MultiModal and sensorized 3D Printed Omnidirectional Snake Tongue Bioinspired Soft Actuator.- Dot by Dot Wire Arc Additive Manufacturing Finite Element Simulation for Thermal Cycle Prediction.- Micro-geometrical evolution of titanium surfaces by dry electropolishing.- Femtosecond Laser Cutting of Current Collectors: A Study for High Quality Li Ion Battery Fabrication in Electric Vehicles.- An innovative mechanistic thermal model for studying the effect of MQL in peck drilling.- Novel approaches for layer level functionally graded materials via PBF LB/M.- Towards Digital Twin in Additive Manufacturing: a multi fidelity approach for enhancing LPBF Process Modeling with In Situ Data.- Combining FEM Simulations and Machine Learning for Skin Contamination Prediction in Aluminum Alloy Extrusion Processes.- A Two Step Simulation Approach to Predict Surface Micro Textures Replication in Injection Molded Polymeric Parts.
