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CURRICULUM VITAE IN STANDARD EUROPEAN FORMAT PERSONAL INFORMATION Name Address Telephone E-mail Nationality PESARESI EMANUELE RIMINI, VIA CONSOLARE 117,CAP 47924 3393908700 [email protected] Italian 23rd of June 1992 1/11/2017 - ongoing University of Bologna Research in the field of mechanical vibrations (see RESEARCH INTERESTS for further detail) Page 1 - Curriculum vitae Pesaresi,Emanuele Dates (from- to) Name of educational institution Main subjects I professional skills developed 2015-2017 University of Bologna- Forlì Branch - Master of Science in Mechanical Engineering Qualification attained Level of the attained qualififcation Master of Science in Mechanical Engineering: 110/110 cum laude Dissertation: "Leptokurtic signals in random control vibration testing " Supervisor: Prof. Marco Troncossi Laurea Magistrale, equivalent to the Master of Science (M.Sc.) Degree Birth date EDUCATION Date s(from- to) Name of educational institution Main subjects I professional skills developed Qualification attained PhD student, scolarship winner, pertaining to the XXXIII cycle of Mechanics and Advanced Sciences of Engineering (DIMSAI)

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CURRICULUM VITAEIN STANDARD

EUROPEAN FORMAT

PERSONAL INFORMATION

Name

Address

Telephone

E-mail

Nationality

PESARESI EMANUELE RIMINI, VIA CONSOLARE 117,CAP 47924

3393908700

[email protected]

Italian

23rd of June 1992

1/11/2017 - ongoing

University of Bologna

Research in the field of mechanical vibrations (see RESEARCH INTERESTS for further detail)

Page 1 - Curriculum vitae Pesaresi,Emanuele

• Dates (from- to)• Name of educational institution

• Main subjects I professionalskills developed

2015-2017 University of Bologna- Forlì Branch - Master of Science in Mechanical Engineering

• Qualification attained

• Level of the attained qualififcation

Master of Science in Mechanical Engineering: 110/110 cum laudeDissertation: "Leptokurtic signals in random control vibration testing " Supervisor: Prof. Marco Troncossi

Laurea Magistrale, equivalent to the Master of Science (M.Sc.) Degree

Birth date

EDUCATION

• Date s(from- to)

• Name of educational institution

• Main subjects I professional

skills developed

Qualification attained• PhD student, scolarship winner, pertaining to the XXXIII cycle of Mechanics and Advanced Sciences of Engineering (DIMSAI)

Page 2 - Curriculum vitae Pesaresi, Emanuele

• Qualification attained

• Level of the attained qualififcation

Bachelor of Science in Mechanical Engineering: 110/110 cum laudeDissertation: "Control of a compressed air plant to reduce the starts of the compressor via a hybrid feedforward-feedback regulator" (in Italian) Supervisor: Prof. Matteo Zanzi

Laurea triennale, equivalent to the Bachelor of Science (B.Sc) Degree

Other language • Reading skills• Writing skiils•Oral expression skiils

EnglishExcellentExcellentExcellent(I attended several courses, among which the "First" held at Rimini's British school; besides, I took an Erasmus Exchange exam during my B.Sc in Forlì, where I was acknowledged a C1 level )

PERSONAL SKILLS AND

EXPERTISE

MOTHERTONGUE Italian

• Date s(from - to)• Name of educational institution

• Main subjects I professional

skills developed

2011-2015 University of Bologna- Forlì Branch - Bachelor of Science in Mechanical Engineering

• Dates (from-to)

• Name of educational institution

• Main subjects | Professional

skills developed

• Qualification attained• Livello nella classificazione

2006-2011

Liceo Scientifico "Albert Einstein", Rimini (Italy)

Knowledge of theoretical Scientific subjects: Mathematics,Physics

Diploma di maturità: 87/100 (high school diploma)

Diploma of Upper Secondary School Education nazionale

SKILLS AND EXPERTISE

OTHER SKILLS

DRIVING LICENSE

Page 3 - Curriculum vitae

Pesaresi, Emanuele

Solid Works

CoDeSys

Matlab&Simulink

App Designer (Matlab)

CAD

PLC Software

Analytical/Design Software

GUI/APP development Software

Altri Microsoft Office

Daily use of a personal computer, Internet and e-mail

Category B License

SOCIAL SKILLS AND EXPERTISE As of 2015 I give, even though occasionally, private lessions in scientific subjects such as: Mathematics, Physics, Algebra e Geometry, Calculus I e II, Control Theory, Mechanics of Machines, for both University and high School students.

RESEARCH INTEREST State of the Art

In the field of random vibration testing it is common practice to carry out tests in order to ascertain components suitability to resist the dynamic loads induced by vibrations during their operational lifetime. The literature abounds with prescribed methodologies, some of which formalized in Standards (e.g. MIL-STD810, NATO, RTCA DO160), to synthesize signals (Mission Synthesis) that can be used to conduct the tests. Nevertheless, over the last decades these general practices are conceding ground to tests tailored in accordance with the application (starting from measured vibrations) and independent from the component to be tested (Test Tailoring). Since most operational lifetimes exceed hundreds of thousands of hours, it would be unfeasible to replicate signals of such long durations. Hence, accelerated tests , which must be able to cause the same fatigue damage to the component to be tested as experienced in the real application, are required. The damage potential of a vibration excitation is quantified in terms of a spectral function called Fatigue Damage Spectrum (FDS), which is generally computed from signals measured in real applications, hereinafter referred to as reference signals. The damage induced during accelerated tests must be equivalent to the damage potential associated with the measured vibrations acting on the component during its entire operational lifetime. The generation of the test signal is therefore based on the equivalence of the FDS functions of the reference and synthesized signals.

Page 4- Curriculum vitae

Pesaresi, Emanuele

Current algorithms implemented in some commercial software permit to synthesize a Power Spectral Density (PSD) from a given FDS. From the PSD and a prescribed duration of the signal to be synthesized, the shaker generates the actual vibration that has a damage potential equivalent to that of the application.The greatest downside of these common procedures is that the synthesized signals always have a Gaussian probability distribution of values. This could be a limitation whenever reference signals are non-Gaussian (e.g. they may contain peaks caused by road bumps, micro-collisions, etc.). Since non-Gaussian signals are preponderant in real applications, the necessity for novel methodologies can thus be justified. A simple and useful statistical parameter accounting for the non-Gaussianity of a signal is the kurtosis, which gives a rough estimate of the content of high peaks of a signal.Gaussian signals have a theoretical kurtosis value of 3.0, whereas Leptokurtic signals (i.e. signals with some prevailing high peaks) features greater values and Platykurtic signals (i.e. signals containing deterministic components) lower values.In parallel with Test Tailoring, kurtosis control methods have been developed. Their purpose is the synthesis of signals with a prescribed PSD and kurtosis value, without directly controlling the FDS.A first approach towards non-Gaussian signals has been made in the candidate’s MSc dissertation, in which algorithms aiming at the synthesis of signals with a prescribed PSD and a target kurtosis were described. In the candidate’s first PhD year, the natural extension of these algorithms was the incorporation of the FDS control, in addition to the kurtosis control and several algorithms with different features were developed. The FDS control added to kurtosis control is fundamental from the perspective of making accelerated tests increasingly realistic and reliable, since the nature of the reference signals should be replicated together with the damage that a component experiences during its operational life. Besides, the collaboration with industries interested in the project led to the development of graphic user interfaces (GUI) implementing both the standard and novel algorithms.

Future Developments

On the basis of the developed algorithms, extensive experimental campaigns have to be performed in order to validate the newly found methods. The very first steps will be the design of specimens and fixtures to be used and the definition of suitable experimental procedures to compare the results obtained from the application of the standard and novel Mission Synthesis algorithms. Then proper signal processing techniques will be investigated in order to extract as much information as possible from the comparison of numerical and experimental data. On a theoretical level, other new methodologies of Mission Synthesis will be investigated, possibly using advanced theories such as Wavelets and Kurtogram.Another possibility is the modification of the hypotheses at the basis of the FDS function, which may be excessively simplistic.

DISSEMINATION International Conference papers:–Pesaresi E. , Troncossi M., " Synthesis of vibration signals with prescribed power spectral density and kurtosis value", Proceedings of ISMA2018, September 17-19, 2018, Leuven (Belgium)–Troncossi M., Pesaresi E. , “Mission Synthesis of High-Kurtosis Signals for Vibration-based Fatigue Life Testing”, Proceedings of RASD2019, April 15-17, 2019, Lyon (France), SUBMITTED AND ACCEPTEDNational Workshop abstract:–Pesaresi E. , Troncossi M., “Test Accelerati di Qualifica a Vibrazione: Sviluppo di Nuovi Software di Mission Synthesis”, Quaderni del DIN – GMA. Atti della XII Giornata di Studio Ettore Funaioli, 20 July, 2018, Bologna (Italy)