Virtual Sensing
虛擬傳感活動自 2012 年以來一直沿著這些方向開展
薄膜形狀和負載傳感
與俄勒岡州立大學合作。
這項活動是與俄勒岡州立大學的一個團隊（由 Roberto Albertani 教授領導）合作進行的，根據空軍科學研究辦公室 (AFOSR) 的合同，“實時機翼渦流和壓力分佈估計機翼在不穩定和過渡飛行條件下的位移和應變”，2012-2016 年，Gregg Abate 博士擔任技術監測員。
A novel formulation has been developed to reconstruct the shape of a membrane, and the pressure loads applied to it, from distributed strain measurements. The method has been verified by correlation with static and dynamic measurements taken from samples representative of micro-aerial vehicles, using Digital Image Correlation (DIC) for strains and displacements (the latter used for verification).
Key Products
- M. Alioli, P. Masarati, M. Morandini, R. Albertani, T. Carpenter, "Modeling effects of membrane tension on dynamic stall for thin membrane wings", Aerospace Science and Technology, 69:419-431, October 2017, doi:10.1016/j.ast.2017.07.008.
- M. Alioli, P. Masarati, M. Morandini, T. Carpenter, N. B. Osterberg, R. Albertani, "Membrane Shape and Transverse Load Reconstruction Using Inverse Finite Element Analysis", AIAA Journal, 55(1):97-308, 2017, doi:10.2514/1.J055123.
The activity resulted in the PhD graduation of Mattia Alioli at Politecnico di Milano, and of Trenton Carpenter and Brent Osterberg at OSU.
Rotor blade shape and loads reconstruction
This activity was initiated in cooperation with a team from University Roma Tre (Giovanni Bernardini and Jacopo Serafini) and is currently continuing, cooperating on a project funded by Flanders Innovation and Entrepreneurship (VLAIO) agency and headed by Siemens Digital Industries Software (Tommaso Tamarozzi) and KU Leuven (Wim Desmet).
The activity resulted in the graduation of Roberto Porcelli at Roma Tre.
Roberta Cumbo, PhD Fellow at KU Leuven and visiting PhD at Politecnico di Milano, is currently working at the project.
Blade Sensing
In cooperation with University Roma Tre
This activity resulted in a novel method to reconstruct the shape of beams subjected to large bending and torsional straining, which is particularly appropriate for rotorcraft blades undergoing large aerodynamic and centrifugal loads. The method has been validated using simulated strain measurements obtained by nonlinear multibody dynamics basen on the free general-purpose solver MBDyn. Applications are foreseen in rotor states reconstruction and structural health monitoring. Future development will see further integration with additional sensor types.
Key Products
- J. Serafini, G. Bernardini, R. Porcelli, P. Masarati, "In-Flight Health Monitoring of Helicopter Blades via Differential Analysis", Aerospace Science and Technology, 88:436-443, 2019, doi:10.1016/j.ast.2019.03.039.
- G. Bernardini, R. Porcelli, J. Serafini, P. Masarati, "Rotor Blade Shape Reconstruction from Strain Measurements", Aerospace Science and Technology, 79:580-587, August 2018, doi:10.1016/j.ast.2018.06.012.
SINCRO: A general strategy for load and parameter identification for helicopter main rotor systems
In cooperation with Siemens Digital Industries Software, KU Leuven, VLAIO - Vlaanderen Agentschap Innoveren & Ondernemen, Airbus Helicopters.
SINCRO is a PhD project funded by the Flanders Innovation and Entrepreneurship (VLAIO) agency. This project addresses the problem of load and parameter identification for helicopter-related applications. The proposed solution is the use of a Virtual and Augmented Sensing strategy which estimates unmeasured quantities (e.g. loads, full-field strains, displacements and accelerations) by readily combining experimental and numerical data of the analyzed system. In particular, a Kalman-based methodology will be investigated and further developed with the aim to advance the state-of-the-art of this technique and explore its performance and feasibility for helicopter rotor applications. To this end, the applicability of the proposed strategies will be tested on three industrial case scenarios:
i) design phase of the helicopter,
ii) flight-test (validation and qualification),
iii) operation (system monitoring).
The final goal of this research project is to offer a potential industrial tool for the system identification problem improving the methodologies currently adopted from aerospace companies.
A specimen is currently being produced for benchmarking of the developed methods. It consists of a model scale helicopter rotor blade, instrumented with an innovative sensor based on fiber optics and capable to measure axial and shear strains at selected locations along the blade span. The model and the experimental results will be made available as an open dataset for independent benchmarking.
Key Products
- R. Cumbo、T. Tamarozzi、W. Desmet、P. Masarati，“通過基於卡爾曼的方法對旋轉直升機葉片進行狀態和力估計”，Sensors 2020, 20(15), 4196, doi: 10.3390/s20154196。
