Matteo Pini

About Matteo Pini

Matteo Pini, With an exceptional h-index of 20 and a recent h-index of 18 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of Aircraft & rocket propulsion, Turbomachinery, Internal flows, MDO, NICFD.

His recent articles reflect a diverse array of research interests and contributions to the field:

Nonideal Compressible Fluid Dynamics of Dense Vapors and Supercritical Fluids

Investigation of non-ideal effects in compressible boundary layers of dense vapors through direct numerical simulations

The effect of working fluid and compressibility on the optimal solidity of axial turbine cascades

Data-driven modeling of high-speed centrifugal compressors for aircraft Environmental Control Systems

Proceedings of the 4th International Seminar on Non-Ideal Compressible Fluid Dynamics for Propulsion and Power

Design optimization of a high-speed twin-stage compressor for next-gen aircraft environmental control system

Mechanical Design and Rotor-dynamic Analysis of the ORCHID Turbine

Correction to: Proceedings of the 4th International Seminar on Non-Ideal Compressible Fluid Dynamics for Propulsion and Power

Matteo Pini Information

University

Position

Assistant Professor Propulsion & Power

Citations(all)

1339

Citations(since 2020)

921

Cited By

798

hIndex(all)

20

hIndex(since 2020)

18

i10Index(all)

34

i10Index(since 2020)

30

Email

University Profile Page

Google Scholar

Matteo Pini Skills & Research Interests

Aircraft & rocket propulsion

Turbomachinery

Internal flows

MDO

NICFD

Top articles of Matteo Pini

Nonideal Compressible Fluid Dynamics of Dense Vapors and Supercritical Fluids

2024/1/19

Investigation of non-ideal effects in compressible boundary layers of dense vapors through direct numerical simulations

Physics of Fluids

2024/1/1

Andrew Wheeler
Andrew Wheeler

H-Index: 5

Matteo Pini
Matteo Pini

H-Index: 15

The effect of working fluid and compressibility on the optimal solidity of axial turbine cascades

2024

Data-driven modeling of high-speed centrifugal compressors for aircraft Environmental Control Systems

International Journal of Refrigeration

2023

Matteo Pini
Matteo Pini

H-Index: 15

Proceedings of the 4th International Seminar on Non-Ideal Compressible Fluid Dynamics for Propulsion and Power

2023/5/1

Design optimization of a high-speed twin-stage compressor for next-gen aircraft environmental control system

Journal of Engineering for Gas Turbines and Power

2023/3/1

Piero Colonna
Piero Colonna

H-Index: 27

Matteo Pini
Matteo Pini

H-Index: 15

Mechanical Design and Rotor-dynamic Analysis of the ORCHID Turbine

2023

Correction to: Proceedings of the 4th International Seminar on Non-Ideal Compressible Fluid Dynamics for Propulsion and Power

2022/11/3

Validation of the SU2 Fluid Dynamic Solver for Isentropic Non-Ideal Compressible Flows

Proceedings of the 4th International Seminar on Non-Ideal Compressible Fluid Dynamics for Propulsion and Power, NICFD

2022/11/3

High fidelity simulations and modelling of dissipation in boundary layers of non-ideal fluid flows

2022/11/3

Andrew Wheeler
Andrew Wheeler

H-Index: 5

Matteo Pini
Matteo Pini

H-Index: 15

Data-driven regression of thermodynamic models in entropic form

2022/11/3

Matteo Pini
Matteo Pini

H-Index: 15

The effect of size and working fluid on the multi-objective design of high-speed centrifugal compressors

International Journal of Refrigeration

2022/11/1

Piero Colonna
Piero Colonna

H-Index: 27

Matteo Pini
Matteo Pini

H-Index: 15

On the Influence of Stator-Rotor Radial Gap Size on the Fluid-Dynamic Performance of Mini-ORC Supersonic Turbines

2022/6/13

Raffaele Tuccillo
Raffaele Tuccillo

H-Index: 11

Matteo Pini
Matteo Pini

H-Index: 15

Multirow adjoint-based optimization of NICFD turbomachinery using a computer-aided design-based parametrization

Journal of Engineering for Gas Turbines and Power

2022/4/1

A Code for the Preliminary Design of Cooled Supercritical CO2 Turbines and Application to the Allam Cycle

Journal of Engineering for Gas Turbines and Power

2022/3/1

NiceProp: An interactive Python-based educational tool for non-ideal compressible fluid dynamics

SoftwareX

2022/1/1

Matteo Pini
Matteo Pini

H-Index: 15

L'effet de la taille et du fluide actif sur la conception multi-objectifs des compresseurs centrifuges à grande vitesse

International Journal of Refrigeration

2022

Piero Colonna
Piero Colonna

H-Index: 27

Matteo Pini
Matteo Pini

H-Index: 15

Flow deviation and critical choking in transonic turbine cascades operating with non-ideal compressible flows

Journal of the Global Power and Propulsion Society

2022

Adjoint-based unsteady optimization of turbomachinery operating with nonideal compressible flows

Journal of Propulsion and Power

2021/11

Dense-vapor effects in compressible internal flows

Physics of Fluids

2021/8/1

See List of Professors in Matteo Pini University(Technische Universiteit Delft)

Co-Authors

academic-engine