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2023 - A European Researchers’ Night project on mechanical vibrations for high school students [Relazione in Atti di Convegno]
Cocconcelli, Marco; Fonte, Cosimo; Grosso, Pasquale; Mottola, Giovanni; Strozzi, Matteo; Rubini, Riccardo
abstract

The present works were conceived to be exhibited during the 2022 European Researchers’ Night (ERN 2022), at the University of Modena and Reggio Emilia. The idea is to illustrate the key concepts of mechanical vibration through the use of 3D models and virtual simulation analysis. The paper is directed to high school students planning to enroll in a mechanical engineering bachelor’s degree, in order to approach or consolidate some fundamental concepts of mechanical vibration. Topics not easy to explain, such as the natural frequencies of a body, could be presented more effectively using physical models. Mathematical formalism will be kept to a minimum, as it is beyond the scope of this paper.

2022 - Dynamic Analysis of a Semi-automatic Telegraph Key [Relazione in Atti di Convegno]
Fonte, C.; Cocconcelli, M.
abstract

The first telegraph key model was invented in 1846 by Alfred Vai, a close collaborator of Samuel F.B. Morse. Since then the telegraph key has changed several designs from the mechanical semi-automatic or bug to automatic systems, representing for years the main means of communication as well as the first means of electrical communication invented. Today telegraphy replaced by the telephone and the Internet, however, these devices are still used by about 3 million Amateur radio operators. In this paper, a dynamic analysis of a precise telegraph key model has done. The model is the Vibroplex Original Deluxe which is a semi-automatic model made by Vibroplex Company Inc., a historical company manufacturer of these devices, founded by Horace Greeley Martin (1873–1937). The feature of this device is to automatically generate points (in Morse code sense) by means of an oscillating mass. The validated model will be useful to test different setting parameters and how to manage them to get comfort for the operator.

2022 - Modal analysis and condition monitoring for an electric motor through MEMS accelerometers [Relazione in Atti di Convegno]
Mottola, Giovanni; Grosso, Pasquale; Fonte, Cosimo; Strozzi, Matteo; Rubini, Riccardo; Cocconcelli, Marco
abstract

2022 - Open Issues in Continuum Modeling of Carbon Nanotubes [Abstract in Atti di Convegno]
Strozzi, Matteo; Fonte, Cosimo; Rubini, Riccardo; Cocconcelli, Marco
abstract

2020 - Virtual training of machine learning algorithm using a multibody model for bearing diagnostics on independent cart system [Relazione in Atti di Convegno]
Cavalaglio Camargo Molano, J.; Scurria, L.; Fonte, C.; Cocconcelli, M.; Tamarozzi, T.
abstract

Independent cart conveyor system is a new technology recently proposed in the field of automatic machines. This technology uses advance linear motors for moving several carts on a close-loop path. In this paper, a multibody model of the Independent cart conveyor system is used to train a machine learning algorithm for the diagnostics of ball bearings which support the carts. The multibody model provides several simulations both of healthy and faulted bearings, which are used to create the training dataset. The input features of the machine learning algorithm are statistical parameters that proved to be effective in the analysis of real vibration data. The final tests were carried out on experimental data recorded on a test rig and the fault detection algorithm was validated both in faulted and healthy cases in an industrial environment. The aim of this activity is to virtualize the training of a machine learning system for fault detection and to test its accuracy in a real environment.