A seguito della circolare di Ateneo relativa alle misure di sicurezza per il contrasto alla diffusione del COVID-19, il ricevimento studenti è erogato nelle seguenti modalità:
1) Se il ricevimento attiene ad argomenti dei corsi di cui è titolare, la modalità di ricevimento prevista prevede che le domande vengano preventivamente registrate sulla piattaforma moodle del corso specifico, nella sezione "Forum". Qualora le risposte ricevute non fossero sufficienti, si può fissare un appuntamento telematico, previa registrazione nell'apposita sezione sulla piattaforma moodle del corso.
2) Per tutte le altre questioni è possibile fissare un appuntamento (telematico), da concordare via e-mail.
L’Ing. Antonio Scippa si laurea in Ingegneria Meccanica nel gennaio del 2001. Nello stesso anno consegue l’abilitazione all’esercizio di Ingegnere e risulta vincitore di concorso pubblico per esami per l’ammissione al Corso di Dottorato di Ricerca (XVI ciclo) in Ingegneria Meccanica, durante il quale, svolto in collaborazione con il Centro di Ricerca Fiat, progetta e sviluppa modelli numerici per la previsione del comportamento dinamico di strutture eccitate in media ed alta frequenza, ponendo particolare attenzione alla messa a punto delle attrezzature sperimentali utilizzate per la validazione dei risultati numerici. Consegue nel 2004 il titolo di Dottore di Ricerca in Progetto e Costruzione di Macchine. A partire dall’anno 2004 fino a tutto il 2007 collabora a vario titolo con il Dipartimento di Meccanica e Tecnologie Industriali dell’Università di Firenze partecipando a numerosi progetti di ricerca e collaborando a diverse convenzioni stipulate dal Dipartimento di afferenza con alcune delle principali aziende italiane: in particolare con Fiat Auto per la caratterizzazione numerica del comportamento modale di scocca ed la verifica dell’influenza degli allestimenti sui primi modi di deformazione, e con Ferrari per l’individuazione sperimentale dei Running-mode al banco prova.
Nell’ambito delle attività di ricerca si è occupato inizialmente di metodologie di ottimizzazione basate su algoritmi genetici e della loro integrazione con codici agli elementi finiti commerciali, per poi concentrarsi su approcci ibridi che permettessero l’applicazione in ambiente automotive della Statistical Energy Analisys. Successivamente ha indirizzato la propria attività anche nell’ambito delle simulazioni dei fenomeni di crash, collaborando al progetto europeo APROSYS, nel corso del quale ha sviluppato e validato, in collaborazione con Piaggio ed altri parter europei quali Dekra e Cidaut, un modello agli elementi finiti di un motociclo. Negli ultimi anni l’attenzione si è rivolta più alla simulazione di processi tecnologici: in particolare si è occupato della modellazione numerica del processo di pressofusione, focalizzando l'attenzione sulla corretta rappresentazione delle condizioni di scambio termico e sulla previsione della geometria finale del componente, sviluppando un algoritmo in grado di correggere la geometria dello stampo al fine di garantire le tolleranze geometriche richieste; ed è attualmente impegnato nello sviluppo di modelli numerici di macchine utensili, capaci di predire l’effettivo percorso dell’utensile durante la lavorazione e di interfacciarsi tramite il CAM al suo controllo numerico per correggerne gli scostamenti rispetto a quello teorico.
Dal 2010 è Ricercatore per il Settore Scientifico Disciplinare ING-IND/16, Tecnologie e Sistemi di Lavorazione, e svolge la propria attività di ricerca prevalentemente nel settore della dinamica delle macchine utensili e in ambito di Predictive Maintenance, oltre che nello sviluppo di processi di Wire Arc Additive Manufacturing
2010-oggi
Machine Tool DynamicsChatter Vibration Predictive MaintenanceVirtual ManufacturingWire Arc Additive ManufacturingFinite Element MethodsNumerical ModelingNoise and Vibration
OrcID: https://orcid.org/0000-0002-0165-5821
A seguito della sospensione della didattica, le lezioni del corso di Tecnologia Meccanica si terranno in modalità telematica. Si invitano pertanto gli studenti interessati ad iscriversi al corso sulla piattaforma moodle di ateneo, dove sarà possibile visualizzare le videoregistrazioni delle lezioni, che verranno via via caricate nei giorni a venire.
Legenda
Born in Firenze, Italy, Antonio Scippa received his Degree in Mechanical Engineering in 2001 at University of Firenze (Italy), where he received the Doctoral Degree in Machine Design and Construction in 2004. He was employed as a post-doctoral researcher at the Department of Mechanics and Industrial Technologies of the University of Firenze until 2010, when he assumed a Faculty position as Assistant Professor. In 2017 he obtained the National Scientific Academic Qualification as Associate Professor in Manufacturing and Production Systems (Scientific Disciplinary Sector: 09/B1 – ING-IND/16), which is the current academic position, he has held at the Department of Industrial Engineering (DIEF) of the University of Firenze (Italy) since March 2020.
Antonio Scippa currently teaches at the Engineering School of the University of Firenze, for bachelor and master’s degrees in “Mechanical Engineering”, and at the School of Agriculture for the bachelor’s degree in “Technologies and Advanced Manufacturing in Wooden Furniture and Constructions”. He is member of the PhD Board of “Industrial Engineering” Doctorate school of the University of Firenze, since 2011, and has been supervisor or co-supervisor of 6 PhD theses, all related to the scientific and technological areas covered by the ING-IND/16 Scientific Discipline. He is member, since 2007, of the Italian Association of Manufacturing (AITeM), and since 2010, of the “Machine Tool Technologies Research Foundation” (MTTRF), a no profit public American organization that group together 12 top notch universities worldwide, promoting research activities and collaboration among experts, in fields related to machine tools technologies. He is also Board member of the Scientific and Technical Committee of the ITS Prime Academy, a public foundation providing non-university tertiary educational programs, on the behalf of the Education Italian Ministry, aiming at fulfill the requests of new and high technical and technological skills to promote innovation processes for the Italian manufacturing enterprises, with a special attention to the Industry 4.0 topics. From 2010 he is co-responsible of the Manufacturing and Technologies Research Laboratory (MTRL) of the Department of Industrial Engineering (DIEF) of the University of Firenze (Italy), mainly focused on research topics related to manufacturing of mechanical part (machining and wire arc additive manufacturing) and the organization of production, including production monitoring solutions and digital support.
Starting from the master thesis, his research activities was mainly focusing on design and engineering optimization problems: more in detail, he investigated the integration of genetic algorithms and finite element analysis with a particular emphasis on structural dynamics (mostly in the automotive field). During the PhD thesis (in collaboration with the “Centro Ricerche Fiat”) he devoted great effort to the experimental validation of predictive simulation methods for medium and high frequency dynamics estimation of structural component. In that period, he participated to the Relevant National Project PRIN 2003 (Integrazione di metodologie deterministiche e statistiche per la modellazione di sistemi meccanici in alta e media frequenza).The knowledge acquired and lessons learned during this period were fundamental for the future research activities related to machine tools dynamics and machining instabilities modelling. From 2004 to 2008 he was involved in various activities, within the 6th Framework Program (APSN and Aprosys), in the field of power two wheeled passive safety, mainly related to crash simulation, with a particular emphasis to the analysis of the effects produced by uncertainties, modelled by fuzzy-logic approaches, developed in collaboration with the Stuttgart University (Vigoni Program).
Since 2007, his research areas have mainly regarded manufacturing processes with two complementary approaches: experimental models (modal analysis, regression and empirical models) as well as physical modelling (analytical and numerical techniques). Most of the research activities have been specifically focused on the manufacturing process optimisation, mainly in the machining segment, with a special attentiveness to the quality of the machined surface and energy consumption. In particular he has worked on machining instabilities (Chatter), developing appropriate methodologies to correctly predict the chatter onset, and numerical-experimental approaches to properly evaluate cutting force coefficients (required for numerical models), and to accurately compensate measured data, in order to avoid dynamic effects affecting acquired signals. Particular attention has been also spent to developing numerical approaches, able to predict cutting location errors, due to workpiece static deflections and system dynamics, and to optimise tool-paths and fixture configuration for thin-walled component machining. Most recently the research focus has moved in the direction of mechatronics for intelligent fixture systems in milling, and active damping in turning operations. The main outcomes of these researches have been an intelligent fixture for chatter mitigation in milling operations, developed within the INTEFIX project (European I4MS initiative), and an intelligent boring bar for active damping in turning operations, designed within the regional DAMP-IT project.
The abovementioned researches have been generally developed on the basis of research programmes funded by national (e.g. DAMP-IT) and international organisations (e.g. INTEFIX, FACTS4WORKERS, RETROFIX), as well as industry-driven activities. In particular he has been the responsible for the University of Florence of the PrIMaCy Experiment, founded by EU within the BEinCPPS project, aimed at developing advanced monitoring solution for predictive maintenance, that represents a crucial task in keeping high productive standards in modern manufacturing enterprises.
On these research subjects, he is author and co-author of more than 100 papers, most of them published in peer-reviewed international journals, (30), referred international congress (30) and 1 international patent. He has attended several national and international congresses, obtaining the "Outstanding Technical Paper Award" for the paper “Design of An Active Workpiece Holder”, presented at the 9th International Conference on Axiomatic Design (ICAD 2015), and has been chairman of the “Machine Tool Vibration and Cutting Dynamics” session of the “22th International Congress on Sound and Vibration” in Firenze (Italy), and co-chairman of “Analytical advancement of machining process” session of the “8th International Conference on Leading Edge Manufacturing in 21st Century” in Kyoto (Japan). He is actually referee for several international scientific journals, including Additive Manufacturing, International Journal of Machine Tools and Manufacturing, Manufacturing Letters, Mechanical Systems and Signal Processing, among others.
The main scientific research interests include manufacturing systems, with special consideration to subtractive and additive processes, machine tools dynamics, machining instabilities (Chatter) and, with respect to Industry 4.0 themes, monitoring solutions and predictive maintenance. He is also an expert of Structural Dynamics, Experimental Modal Analysis, and Finite Element Analysis, which represent critical topics for the development of the proposal.
