A5006493343- Fluid Dynamics and Turbulent Flows
- Wind and Air Flow Studies
- Fluid Dynamics and Vibration Analysis
- Aerodynamics and Fluid Dynamics Research
- Heat Transfer and Boiling Studies
- Combustion and flame dynamics
- Structural Health Monitoring Techniques
- Plant Water Relations and Carbon Dynamics
- Particle Dynamics in Fluid Flows
- Aerodynamics and Acoustics in Jet Flows
- Heat Transfer Mechanisms
Polytechnic University of Turin
2022-2024
The application of deep reinforcement learning (DRL) to train an agent capable control laws for pulsed jets manipulate the wake a bluff body is presented and discussed. work has been performed experimentally at value Reynolds number Re∼105 adopting single-step approach training agent. Two main aspects are targeted: first, dimension state, allowing us draw conclusions on its effect neural network; second, capability learn optimal strategies aimed maximizing more complex tasks identified with...
We investigate experimentally the effects of micro-grooves on development a zero pressure gradient turbulent boundary layer at two different values friction Reynolds number. consider both well-known streamwise aligned riblets as well wavy riblets, characterized by sinusoidal pattern in mean flow direction. Previous investigations authors showed that yield larger drag reduction with respect to ones. perform new particle image velocimetry experiments wall-parallel planes get insights into...
Phase-averaging is a fundamental approach for investigating periodic and non-stationary phenomena. In fluid dynamics, these can be generated by rotating blades such as propellers/turbines or pulsed jets. Traditional phase-averaging approaches often rely on synchronized data acquisition systems, which might require high-speed cameras, light sources, precise delay generators encoders, making them expensive sometimes unfeasible. This work proposes an posteriori data-driven that reconstructs...
Abstract We present an experimental setup to perform time-resolved convective heat transfer measurements in a turbulent channel flow with air as the working fluid. employ heated thin foil coupled high-speed infrared thermography. The measurement technique is challenged by thermal inertia of foil, high frequency fluctuations, and noise camera. discuss detail advantages drawbacks all design choices that were made, thereby providing successful implementation strategy obtain high-quality data....
The wake topology of a bluff body, representative commercial road vehicle, manipulated by different control laws for pulsed jets located at the trailing edges model is presented and discussed. parameters have been identified through previous work, in which deep reinforcement learning (DRL) algorithm was trained under conditions to achieve drag reduction first also taking energy budget into account. focus this work understand mechanisms DRL agent can reach objective four distinct cases, with...
Abstract This work reports on the application of a Genetic Algorithm (GA)-based approach to control wake bluff body. The is achieved through actuation four air jets placed along edges model’s base. dependence population size convergence genetic code was assessed, evidencing an increase number elements in needed learning more complex tasks. In this case, sum two sine waves considered, where frequency and amplitude each are optimised. It demonstrated that GA converges law yielding values drag...
We present an experimental setup to perform time-resolved convective heat transfer measurements in a turbulent channel flow with air as the working fluid. employ heated thin foil coupled high-speed infrared thermography. The measurement technique is challenged by thermal inertia of foil, high frequency fluctuations, and noise camera. discuss detail advantages drawbacks all design choices that were made, thereby providing successful implementation strategy obtain high-quality data. This...