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PhD Candidate - Supercritical Turbulence
PhD Candidate - Supercritical Turbulence
UPC - BarcelonaTech
Department Fluid Mechanics
Former F1 Engineer
Former F1 Engineer
Vehicle dynamics
Performance engineering
I am a senior PhD candidate in the Department of Fluid Mechanics at Polytechnical University of Catalonia - BarcelonaTech working with Professor Lluís Jofre Cruanyes . My PhD research is on supercritical miniaturization of wall-bounded turbulence and is conducted within an ERC Starting Grant 2021 funded project (European Council Research ERC-2021-STG 101040379 - SCRAMBLE) Turbulence-On-a-Chip: Supercritically Overcoming the Energy Frontier in Microfluidics. In this regard, the objectives are twofold, (i) the design and investigation numerical methods for high-pressure turbulence and computational framework for compressible flow and (ii) the characterization of wall-bounded transcritical turbulent flow physics, linear stability and adaptive resolvent analysis and large-eddy simulation a-priori analysis for high-pressure turbulence.
Personal Bio
Personal Bio
A highly motivated, conscientious and dedicated Mechanical Engineer with a passion for learning. This passion took me to pursue a PhD that will offer early responsibility and career progression where I can utilise my skills, education and work experience. In fact, I took this decision to also broaden my skills within the fluid mechanics, aerodynamics and aerospace field, after over 10 years of experience as vehicle dynamics and performance engineer in the automotive and motorsport industry. In particular, these years of experience were useful to improve work effectiveness as a team player or on own initiative with the drive to succeed in a demanding environment through the use of self-learning. To this extent, this is currently helping me towards the execution of the challenging high-standing PhD. I define myself also as a very ambitious individual who aims to achieve their potential in all aspects and tasks undertaken both professionally and personally.
A highly motivated, conscientious and dedicated Mechanical Engineer with a passion for learning. This passion took me to pursue a PhD that will offer early responsibility and career progression where I can utilise my skills, education and work experience. In fact, I took this decision to also broaden my skills within the fluid mechanics, aerodynamics and aerospace field, after over 10 years of experience as vehicle dynamics and performance engineer in the automotive and motorsport industry. In particular, these years of experience were useful to improve work effectiveness as a team player or on own initiative with the drive to succeed in a demanding environment through the use of self-learning. To this extent, this is currently helping me towards the execution of the challenging high-standing PhD. I define myself also as a very ambitious individual who aims to achieve their potential in all aspects and tasks undertaken both professionally and personally.
DNS streamwise velocity countourplot (YZ plane)
Research interests
Research interests
Multiphysics and transcritical turbulence
Numerical methods
Linear stability theory
Large-eddy simulation
High-performance computing
Adaptive resolvent analysis
Publications
Publications
Peer-Reviewed Journal Articles
Peer-Reviewed Journal Articles
Non-dissipative large-eddy simulation of wall-bounded transcritical turbulent flows, M. Bernades, F. Capuano & L. Jofre, Journal of Flow, Turbulence and Combustion (2024) - on-going work.
A Priori Analysis for High-Fidelity Large-Eddy Simulation of Wall-Bounded Transcritical Turbulent Flows, M. Bernades, L. Jofre & F. Capuano, Journal of Supercritical fluids (2024).
Microconfined high-pressure transcritical fluid turbulence, M. Bernades, F. Capuano & L. Jofre, Physics of Fluids (2023).
Kinetic-energy- and pressure-equilibrium-preserving schemes for real-gas turbulence in the transcritical regime, M. Bernades, L. Jofre & F. Capuano, Journal Computational Physics (2023).
Flow physics characterization of microconfined high-pressure transcritical fluids turbulence, M. Bernades, F. Capuano, K. Maeda & L. Jofre, Proceedings of the Summer Program 2022, Center for Turbulence Research, Stanford University.
Investigation of a novel numerical scheme for high-pressure supercritical fluids turbulence, M. Bernades, L. Jofre & F. Capuano, Proceedings of the Summer Program 2022, Center for Turbulence Research, Stanford University.
Thermophysical analysis of microconfined turbulent flow regimes at supercritical fluid conditions in heat transfer applications, M. Bernades & L. Jofre, Journal of Heat Transfer (2022).
Conference Papers
Conference Papers
Linear stability exploration of transcritical non-isothermal Poiseuille flows, M. Bernades, F. Capuano & L. Jofre, ECCOMAS (2024).
Non-dissipative large-eddy simulations of high-pressure transcritical turbulent flows: formulation and a priori analysis, M. Bernades, L. Jofre & F. Capuano, ERCOFTAC (2023).
Direct Numerical Simulation of Wall-Bounded Turbulence at High-Pressure Transcritical Conditions, M. Bernades, F. Capuano & L. Jofre, ERCOFTAC (2022).
Energy-Preserving Stable Computations of High-Pressure Supercritical Fluids Turbulence, M. Bernades, L. Jofre & F. Capuano, ECCOMAS (2022).
Conferences and Seminars
Conferences and Seminars
Conferences
Conferences
ECCOMAS, 9th European Congress on Computational Methods in Applied Sciences and Engineering, M. Bernades, Lisboa, Portugal (2024)
ERCOFTAC, 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements, M. Bernades, Barcelona, Spain (2023)
CIMNE, 2nd Spanish Fluid Mechanics Conference, M. Bernades, Barcelona, Spain (2023)
ERCOFTAC, 4th International Seminar on Non-Ideal Compressible Fluid Dynamics, M. Bernades, London, UK (2022)
ECCOMAS, 8th European Congress on Computational Methods in Applied Sciences and Engineering, M. Bernades, Oslo, Norway (2022)
Seminars
Seminars
Center for Turbulence Research Summer Program 2022, M. Bernades & L. Jofre, Stanford University, USA (2022)
Show Cases
Show Cases
Thermodynamics Supercritical Microfluidics Turbulence
Thermodynamics Supercritical Microfluidics Turbulence
Bulk Reynolds numbers with Dh = 200 μm and ub = 2 m/s for Nitrogen
Compressible factor (Z) with Dh = 200 μm and ub = 2 m/s for Nitrogen
Kinetic-Energy- & Pressure-Equilibrium-Preserving Scheme
Kinetic-Energy- & Pressure-Equilibrium-Preserving Scheme
Pressure-equilibrium preservation performance under 1D Advective test for multiple convective schemes
Pressure-equilibrium preservation performance under 1D Advective test for multiple convective schemes
1D advection test under transcritical thermodynamic conditions, at t/tc = 10−2, for several schemes (novel scheme stated as KGP-Pt) - Normalized density.
1D advection test under transcritical thermodynamic conditions, at t/tc = 10−2, for several schemes (novel scheme stated as KGP-Pt) - Normalized pressure.
2D inviscid transcritical mixing layer with novel KEP & PEP scheme for transcritical turbulent flows
2D inviscid transcritical mixing layer with novel KEP & PEP scheme for transcritical turbulent flows
Normalized density with respect to critical point at t/tc = 2 with 256 × 128 mesh size and CFL= 0.3
Normalized heat capacity at constant pressur with respect to critical point at t/tc = 2 with 256 × 128 mesh size and CFL= 0.3
DNS Wall-Bounded Transcritical Turbulence
DNS Wall-Bounded Transcritical Turbulence
High- (left) vs. Low-pressure (right) snapshots of instantaneous streamwise velocity on YZ plane
High- (left) vs. Low-pressure (right) snapshots of instantaneous streamwise velocity on YZ plane
Streamwise velocity (top) and Prandtl number (bottom) snapshots for high-pressure case
Streamwise velocity (top) and Prandtl number (bottom) snapshots for high-pressure case
Evolution of (a) ensemble-averaged second invariant (QA⁺) and (b) Favre-averaged flow stresses on the barycentric map along the wall-normal direction
Evolution of (a) ensemble-averaged second invariant (QA⁺) and (b) Favre-averaged flow stresses on the barycentric map along the wall-normal direction
Q-criterion normalized density to critical point
Q-criterion normalized density to critical point
Cold/bottom wall
Hot/Top wall
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