Research

Research activity

Scientific and applied research is developed by Francesco Pellicano and his collaborators.

Scientific Research:

• Shell structures: Nonlinear Dynamics, Bifurcation and Chaos, Stability, Fluid-structure interaction
• Gear modeling
• Perturbation methods
• Moving loads
• Dynamic absorbers

 

1. Nonlinear Dynamics and Chaos of Structures

This research area focuses on the study of complex nonlinear behaviors exhibited by mechanical and structural systems. We develop advanced mathematical models to capture phenomena such as bifurcations, chaos, and nonlinear resonances, which are crucial for understanding structural stability and dynamic response under various loading conditions. Experimental campaigns involve vibration tests and nonlinear system identification to validate models. Applications include damage detection, structural health monitoring, and improving the robustness of civil, aerospace, and mechanical structures subject to dynamic excitations.

2. Non-Newtonian Fluid-Structure Interaction

We investigate the coupled dynamics between non-Newtonian fluids and flexible structures, an area critical in biomedical, automotive, and process engineering. Our approach combines experimental tests—such as flow visualization and force measurements—with data-driven modeling techniques and nonlinear time series analysis. The goal is to understand the complex feedback mechanisms and instabilities arising from fluid-structure interaction (FSI) involving shear-thinning, viscoelastic, or thixotropic fluids. This research supports the design of more efficient fluid transport systems and biomedical devices.

3. Electric Powertrain Systems

This topic encompasses the comprehensive study of electric powertrain components, including electric motors, inverters, batteries, and transmission systems. Our research integrates multiphysics modeling and co-simulation frameworks to capture electromechanical interactions, thermal effects, and control strategies. We develop digital twin models for real-time monitoring and predictive maintenance, aiming to enhance reliability and extend component lifetimes. Experimental validation uses state-of-the-art test benches and sensors, focusing on noise, vibration, and harshness (NVH) phenomena unique to electric drivetrains.

4. Biomedical Engineering

We focus on biomechanical modeling and simulation of the human upper limb to support the diagnosis, prognosis, and control of Parkinsonian tremors. Using multibody dynamic simulations, neuro-muscular models, and signal processing techniques, we analyze tremor characteristics and evaluate therapeutic interventions. Our research also explores speech feature extraction as a non-invasive diagnostic tool for neurodegenerative diseases. Collaborations with clinical partners facilitate experimental data acquisition and translational applications.

5. Active Vibration Control and Insulation

Research in this area targets the development of innovative vibration mitigation strategies to improve mechanical system performance and user comfort. We study noise generation and propagation mechanisms in disk brakes, aiming to reduce brake squeal through active control methods and advanced material design. Another key focus is the design of quasi-zero stiffness isolators inspired by origami principles and metamaterial concepts, offering superior vibration isolation with minimal static stiffness. Experimental prototypes and numerical models guide the development of these compliant structures for applications in automotive, aerospace, and industrial machinery.