Mario Tindaro Migliorino

Dr. Mario Tindaro Migliorino

Sapienza University of Rome
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 May 2022 in Journal of Propulsion and Power
Verified
Journal Article
Closed access
DBDaniele Bianchi
Daniele Bianchi
MMMario Tindaro Migliorino
Mario Tindaro Migliorino
MRMarco Rotondi
Marco Rotondi
Landon KampsLandon Kamps
Landon Kamps
HNHarunori Nagata
Harunori Nagata
Nozzle throat erosion in hybrid rocket engines is generally more emphasized than in solid rockets due to a greater concentration of oxidizing species in the combustion products. Therefore, its accu...

25 November 2019 in Journal of Fluid Mechanics
Verified
Journal Article
Closed access
PDF file
MMMario Tindaro Migliorino
Mario Tindaro Migliorino
CSCarlo Scalo
Carlo Scalo
We have performed high-order compressible Navier–Stokes simulations of a thermoacoustically unstable resonator employing , the increase of the acoustic power produced, but also of the heat input required, for thermodynamic conditions approaching the critical point. Finally, intense mass transport events at transcritical conditions are shown to entail thermodynamic and convective nonlinearities, which do not, however, govern the limit cycle physics, dominated instead by nonlinear minor losses.

1 November 2022 in Journal of Spacecraft and Rockets
Verified
Journal Article
Closed access
Alessandro ZavoliAlessandro Zavoli
Alessandro Zavoli
PZPaolo Maria Zolla
Paolo Maria Zolla
LFLorenzo Federici
Lorenzo Federici
MMMario Tindaro Migliorino
Mario Tindaro Migliorino
DBDaniele Bianchi
Daniele Bianchi
This paper investigates the use of neural networks as surrogate models for fast and accurate performance prediction of hybrid rocket engines (HREs). To this aim, a deep feedforward neural network i...

1 July 2022 in Journal of Propulsion and Power
Verified
Journal Article
Closed access
MMMario Tindaro Migliorino
Mario Tindaro Migliorino
DBDaniele Bianchi
Daniele Bianchi
FNFrancesco Nasuti
Francesco Nasuti
Nozzle erosion predictions are fundamental to increase the technology readiness level of hybrid rocket engines. In this work, Reynolds-averaged Navier–Stokes simulations of the internal ballistics ...

1 October 2021 in International Journal of Heat and Mass Transfer
Verified
Journal Article
Closed access
DBDaniele Bianchi
Daniele Bianchi
MMMario Tindaro Migliorino
Mario Tindaro Migliorino
MRMarco Rotondi
Marco Rotondi
ATAlessandro Turchi
Alessandro Turchi

5 August 2021 in Aerospace
Verified
Journal Article
Open access
PDF file
MMMario Tindaro Migliorino
Mario Tindaro Migliorino
DBDaniele Bianchi
Daniele Bianchi
FNFrancesco Nasuti
Francesco Nasuti
Hybrid rockets are considered a promising future propulsion alternative for specific applications to solid or liquid rockets. In order to raise their technology readiness level, it is important to perform predictive numerical simulations of their internal ballistics. The objective of this work is to describe and validate a numerical approach based on Reynolds-averaged Navier–Stokes simulations with sub-models for fluid–surface interaction, radiation, chemistry, and turbulence. Particular attention is given to scale effects by considering two different paraffin–oxygen hybrid rocket engines and a simplified grain evolution approach from the initial to the final port diameter. Moreover, a mild sensitivity of the computed regression rate to paraffin’s melting temperature, surface radiation emissivity, and Schmidt numbers is observed. Results highlight the increasing importance of radiation effects at larger scales and pressures. A numerical rebuilding of regression rate and pressure is obtained with simulations at the time-space-averaged port diameter, producing a reasonable agreement with the available experimental data, but a noticeable improvement is obtained by considering the grain evolution in time.