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AIR FORCE INSTITUTE OF TECHNOLOGY

WP2 Leader 

The Air Force Institute of Technology (AFIT) is the leader of the Scientific and Research support for military aviation technology. Supervised by the Minister of National Defence, since 1953 it has been developing modern solutions that bring large savings to Poland, at the same time maintaining the highest level of the used technology. 

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WARSAW, THE MASOVIAN VOIVODESHIP, POLAND

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R&D CAPABILITY

AFIT has an equipment for advanced manufacturing and diagnosis of smart composites structures: a certified lab in accordance with EN 4179 to use ultrasonic, shearography and thermography, as well as digital X-Ray and CT for composite structure inspection; a dedicated lab for SHM testing using guided waves and laser vibrometry as well as for strength test using dedicated fatigue and strength testing machines for composites; a modern lecture hall for the project management and administration workshops

ROLE IN THE PROJECT

AFIT is mainly interested by applications for structural health monitoring, mainly through integration of PZT sensors and signal processing. AFIT is also interested in data fusion from different sensors such as: PZT, electrical (as CNT-doped veils), and possibly optical as Fibre Bragg Grating (FBG) for structural integrity evaluation. Additionally the use of multi-mode Non Destructive Equipment (NDE) for structure data analysis and ultrasonic and shearography to increase the quality of information about the structure;

R&D EQUIPMENT AND FACILITIES

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Carbon nanotube doped veils pilot production line

 The Pilot line can be used for the development of innovative and functional meltblown veils, various possibilites for the optimization, production trials with „difficult to process” polymers/nanocomposites.

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THE TEAM INVOLVED IN THE PROJECT

RELEVANT PUBLICATIONS AND ACHIEVEMENTS

01.

M. DZIENDZIKOWSKI, Z. DWORKAKOWSKI,J. GÓRSKI, M. HAESH, K. DRAGAN,

Application of PZT Ceramic Sensors for Composite Structure Monitoring Using Harmonic Excitation Signals and Bayesian Classification Approach,

Materials 14(19):5468, DOI:10.3390/ma14195468, September 2021

03.

L. COLOMBO, L. BOSCO, M. SALVETTI, D. BORTOLOTTI, C. SBARUFATTI, M. DZIENDZIKOWSKI, K. DRAGAN, F.CONCLI, M. GIGLIO

Numerical and experimental verification of an inverse- direct approach for load and strain monitoring in aeronautical structures

November 2020, Structural Control and Health Monitoring 28(2)
DOI:10.1002/stc.2657

02.

M. MUCHA, A. KRZYZAK, E. KOSICKA, E. COY, M. KOŚCIŃSKI, T. STERZYŃSKI, M. SAŁACIŃSKI

Effect of MWCNTs on wear behavior of epoxy resin for aircraft applications

Materials, MDPI, 2020 , DOI:
10.3390/ma13122696

04.

M. DZIENDZIKOWSKI, P. NIEDBAŁA, A. KURNYTA, K. KOWALCZYK, DRAGAN K.

Structural Health Monitoring of a Composite Panel Based on PZT Sensors and a Transfer Impedance Framework

Sensors 18 (5), MDPI, 2018.

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