Marina Fazzini

Papers

Total Citations

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About

Marina Fazzini is a researcher specializing in advanced manufacturing processes, with a particular focus on friction stir welding (FSW) and thermal modeling. Her key research areas include numerical simulation of welding processes, process parameter optimization, and the development of accessible predictive tools for industrial applications. Fazzini’s most notable contribution is her 2022 paper, "Power-based Model for Temperature Prediction in FSW," which introduces a thermal numerical model designed to predict welding temperatures using readily available inputs such as machine power, material properties, and tool dimensions. This work stands out for its practical accessibility, enabling engineers and researchers without specialized software to optimize FSW parameters effectively. While her citation count is currently modest at 2, the model’s potential for real-world impact in manufacturing efficiency and quality control is significant. Fazzini’s approach bridges the gap between complex computational methods and hands-on application, marking her as an emerging voice in sustainable and precision-driven welding technologies.