2021 IEEE International Workshop on Metrology for AeroSpace
Virtual Conference, June 23 – 25, 2021
Conference Program: http://www.msamconf.org/Program
- A machine learning-based predictive model for risk assessment in airport areas (G. Gugliandolo, M. T. Caccamo, G. Castorina, D. L. Chillemi, F. Famoso, G. Munaò, M. Raffaele, V. Schifilliti, A. Semprebello, S. Magazù).
Abstract: Among the issues affecting the aeronautical field, it is worth highlighting the impact that volcanic eruptions have on airport infrastructures. Such events can lead to delays and flights cancellations. In addition, airports may need to be shut down in order to restore the runway conditions with an important financial impact on the airport and airline companies as well as inconveniences for travelers. Moreover, volcanic ashes suspended in air represent a significant hazard for aircraft in flight: they limit the visibility and can seriously affect both mechanical parts and electronic components. The scope of this work is to develop a machine learning-based model able to predict such events in order to optimize the airport management in case of such extreme and uncontrollable phenomenon.
The 3rd International Conference on Material Strength and Applied Mechanics (MSAM 2020)
Online Conference, 6 – 9 dicembre 2020
Conference Program: http://www.msamconf.org/Program
- New Approach for Testing Mechanical Properties of Innovative Materials Submitted to Stress Conditions (S. Magazù, M.T. Caccamo)
The aim of this work is to propose an innovative approach for characterizing, in the nanoscopic range, the mechanical properties, as well as their temperature dependence, of innovative materials, submitted to stress conditions, by means of different spectroscopic techniques. In particular, the proposed approach allows to measure a pseudo force constant, k, in order to quantify the mechanical resilience of materials used in the aerospatial field.
106 Congresso Nazionale Società Italiana di Fisica (SIF) 2020
Abstracts per il 106 Congresso Nazionale SIF 2020, 14-18 settembre 2020
- Multiscale Fluidodynamics Model for the Numerical Study of Atmospheric Dynamics (M.T. Caccamo, G. Castorina, G. Munaò, S. Magazù)
The aim of this contribution is to report on the recent developments of a multiscale physical model concerning the meteorology forecasts for limited area. This study is to be framed within the PON project titled Impiego di tecnologie, materiali e modelli innovativi in ambito aeronautico AEROMAT, avviso1735/Ric, 13 luglio 2017. In particular, the generalized Navier-Stokes equations, coupled with a high resolution orography, reveal to be a powerful tool for the weather prediction in complex area. To test the validity of the model, several physical parameterizations have been employed and then a comparison with findings concerning extreme meteorological events is performed.
- A physical-mathematical description of ash transportation in volcanic eruptions (G. Munaò, M.T. Caccamo, G. Castorina, S. Magazù)
In this contribution we present a combined theoretical and simulation study to investigate an eruptive event recorded on the Stromboli volcano. Specifically, we make use of a physical-mathematical model, which simulates the emission, transport, mixing, and chemical transformation of trace gases and aerosols simultaneously with the meteorology. In addition, we calculate the sedimentation velocity of the ash particles as a function of their hydrodinamic radius, providing a description of their impact on the surrounding environment. This contribution frames within the PON project titled Impiego di tecnologie, materiali e modelli innovativi in ambito aeronautico AEROMAT, avviso1735/Ric, 13 luglio 2017.
7-10 maggio 2019 – XXIV Conferenza AIV
- link del programma ove trovare gli interventi: http://www.aiv.it/docs/
1837541592_conferenze_AIV_ Brochure_conferenza_2019_6_ interattivo.pdf
- link degli abstract sottomessi: http://www.aiv.it/docs/
Nel corso della conferenza sono inoltre stati presentati 3 abstracts e un poster.
- Spectroscopic Characterization of Innovative Aviation Materials (M. T. Caccamo, G. Castorina, F. Colombo and S. Magazù)
This work focuses on the aviation-safety twin, in line with the priorities identified by the European Parliament and by the International Civil Aviation Organization (ICAO), which set the minimum safety standards. In particular, among the most significant issues that affects the aeronautics sector it should be mentioned the impact that some phenomena, such as clouds of volcanic ashes, desert sand suspensions and extreme weather events, have on atmosphere; in addition, it should be taken into account the impact on the materials used.
On this purpose, the work deals with some spectroscopic techniques that allow to performe a chemical-physics characterization of volcanic plume and the development of a modellization to characterize the dynamics in atmosphere in order to improve the quality of forecasts for airspace and for volcanic ash deposition. Furthermore, an innovative approach by means of Wavelet Transform is reported.
- Use of innovative technologies, materials and models in the aeronautical environment (G. Castorina, M. T. Caccamo and S. Magazù)
The aeronautical environment is often contaminated by environmental phenomena, such as extreme weather events, desert sands, dust and ash volcanic. These issues affecting the aeronautical sector often cause interruptions to operations and damage to structures.
The most common effect is the temporary operational interruption, which goes from flight cancellations to airport closings for periods of time ranging from hours to weeks generating huge economic losses. Added to these are the degrading impact they have on the materials used, causing damage to the aircraft.
With the aim of improving the quality of the forecasts relating to airspace and the deposit of volcanic dust on the ground, the development of an integrated modelling system aimed at providing data that allows to optimize airport operations when such phenomena occur, is shown. This system, based on the model Weather Research and Forecasting (WRF) coupled with chemistry (WRF – Chemistry), aims to integrate meteorological data from high-resolution models with volcanological data, in order to obtain both the forecast of phenomena atmospheric hazards, such as hail, turbulence and wind-shear, and quantitative estimates on the transport of fine dust, desert sands and volcanic ash into the atmosphere and as a deposit on the ground.
To evaluate the performance of the system, data provided by Doppler radars and Lidar are used, as well as from data provided by mobile stations and drones equipped with sensors.
Furthermore, the information produced by the model will provide valuable support both to airport management companies affected by these environmental problems and to other local stakeholders such as public administrations (for example Civil Protection, Agro-information services, etc..).
- Solar Power Forecasting System using WRF meteorological model (F. Colombo)
In the field of Energy production, short-range forecast for period on the order of hours to days are necessary to smoothly run transmission and distribution systems, plan maintenance, protect infrastructure and allocate units. In particular, forecasting the renewable energy resources on a day to day basis enables integration of increasing capacities of these variable resources. Despite the potential for numerical weather prediction (NWP) models to produce accurate forecasts across time scales, current NWP models often do not provide the most appropriate quantitative forecasts for the solar energy industry. The Weather Research and Forecasting model (WRF) is the open-source worldwide most used meteorological model. Because weather predictions internally only require the global horizontal irradiance (GHI) for the model’s energy budget, the direct normal irradiance (DNI) and diffuse (DIF) components are not commonly output to the user. GHI is much less sensitive to aerosol optical properties than DNI and DIF, and sometimes NWP models do not account for atmospheric aerosols in the radiative transfer equation. To solve this problem, a new version of WRF, called WRF-Solar, has been developed to making the model appropriate for solar power forecasting and comprise 1) developments to diagnose internally relevant atmospheric parameters required by the solar industry, 2) improved representation of aerosol–radiation feedback, 3) incorporation of cloud–aerosol interactions, and 4) improved cloud–radiation feedback. The model builds on the WRF modeling framework seeks improvement in GHI and DNI forecasts across a range of scales by blending different forecasting methods into a unified forecast. A field test to compare the observed and forecast DNI obtained by Solar WRF has been performed during last months in Sicily. Here we describe some specific WRF-Solar characteristics and present results characterizing the model performance during both clear-sky and cloudy conditions.
- Poster progetto AEROMAT (M. T. Caccamo, G. Castorina, F. Colombo and S. Magazù)
The poster describes the contents of the Progetto di Ricerca e Sviluppo “Impiego di tecnologie, materiali e modelli innovativi in ambito aeronautico (AEROMAT)”, Asse II “Sostegno all’innovazione”, Area di Specializzazione “Aerospazio” Avviso n. 1735/Ric del 13 luglio 2017 – Codice CUP J66C18000490005, codice identificativo Progetto ARS01_01147 nell’ambito del Programma Operativo Nazionale “Ricerca e Innovazione” 2014-2020 (PON R&I 2014-2020).