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Smart devices based on nanostructures according to adapt turbojets to
work with renewable energy

J. Alan Calderón Ch.(1,2), Benjamín Barriga Gamarra(2), Julio C. Tafur Sotelo(2), Ricardo A. Alvarez L.(2)

1. Applied Nanophysics, Institute for Physics,Technical University of Ilmenau, Ilmenau 98693, Germany.

2. Control Engineering and Automation Master Program, Mechatronic Engineering Master Program, Engineering Department, Pontificia Universidad Católica del Perú, Perú.

full-paper

2025-07-25

E&Q3-Cover

Abstract

It is proposed in the following article the analysis of the correlation between nanostructure devices with the engagement of turbojets, as well as to know how this improvement can get effect over the usability of new kind of fuel for the turbojet. It means that it will be shared and explained in this research: What consequences happen inside a turbojet when it is evaluated its performance by a new kind of fuel based on hydro-diesel? Most of the expected results are given by not controlled variables, such as vibrations considered like big disturbances for the turbojet operation. Therefore, the nanostructures devices that were focused as part of transducers helped to get short response time, besides higher robustness in the control system to achieve optimal results for the turbojet operation with a new kind of fuel: a green fuel.

Consequently, this work can help to find new advances of applications for turbojets, such as in airplanes or activities that are needed by the industry. In other words, this research looks for an understanding between the compromise of new advances in technologies, based on nanostructures for smart sensors to enhance the control response in the turbojet’s applications, when it is worked with new kind of fuels, because of it is looking for caring the environment conditions.

Key words: Turbojet, nanostructures, smart sensors, mathematical modelling.

Published in: Energies & Quality Journal (E&QJ)
ISSUE: Vol. 3. No.2 Pages: 68-72
E-ISSN: 2659-8779 Date of Current Version: 2025-06-25
REF: 311-25 Issue Date: 2025-07-25
DOI:10.24084/eqj25-311 Publisher: AEDERMACP/ EA4EPQ

References

[1] Dugan, N., & Erkoç, Ş. (2009). Genetic Algorithms in Application to the Geometry Optimization ofNanoparticles. Algorithms, 2(1), 410-428. Available at: https://www.mdpi.com/1999-4893/2/1/410

[2] Lei, Y. & Cai, W. 2006. Highly ordered nanostructures with tunable size, shape and properties: A new way to surface nano-patterning using ultra-thin alumina masks. Science Direct, Progress in Materials Science 52: 465-539.

[3] Calderón, J.; Tafur J.; Barriga E.; Lozano J.; Randal D.; Urbizagástegui R.; Zeña J.; Gózar C. 2022. Optimal Analysis for the Correlation between Vibration and Temperature through an Intelligent Sensor/Transducer Based in Amorphous Nanostructures to Measure Vibrating Surfaces Temperature. IntechOpen.

[4] Landau L. D., Lifshitz E. M. Theory of elasticity, course of theoretical physics, volume 7. Institute of physical problems, USSR academy of science (1959).

[5] Feynman Richard, Leighton Robert, Sands Matthew. The Feynman lectures on physics, volume I. New millennium editors (1962).

[6] A. E. Person, Aerodynamic parameter estimation via Fourier modulating function techniques, Brown University , NASA Contractor Report 4654, (1995).

[7] Ljung, L. 1994. Modeling of dynamic systems. Prentice Hall.

[8] Iqbal Ahmed Moujdin. Influence of hydrogenated diesel/H2O2 blend fuel on diesel engine performance and exhaust emission characterization. Scientific Reports (2023).

 

 
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