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All issues Volume 343 (2025) EPJ Web Conf., 343 (2025) 02002 References
Open Access
Issue
EPJ Web Conf.
Volume 343, 2025
1st International Conference on Advances and Innovations in Mechanical, Aerospace, and Civil Engineering (AIMACE-2025)
Article Number 02002
Number of page(s) 9
Section Aerospace Engineering & Aerodynamics
DOI https://doi.org/10.1051/epjconf/202534302002
Published online 19 December 2025
  1. D. Haleem, R. Kafafy, E.L. Ntantis, Feasibility of solar energy as a sustainable renewable resource in the UAE. MRS Energy Sustain. 11, 624–636 (2024) [Google Scholar]
  2. M. Mrazová, Sustainable development - the key for green aviation. INCAS Bull. 6, 109–122 (2014) [Google Scholar]
  3. R.G. Serio, M.M. Dickson, D. Giuliani, G. Espa, Toward environmental sustainability: An empirical study on airports efficiency. Environ. Resour. Econ. 83, 1121–1145 (2022) [Google Scholar]
  4. T. Planés, S. Delbecq, V. Pommier-Budinger, E. Bénard, Simulation and evaluation of sustainable climate trajectories for aviation. Environ. Res. Lett. 16, 024037 (2021) [Google Scholar]
  5. A. Cybulsky, F. Allroggen, Y. Shao-Horn, D.S. Mallapragada, Decarbonization of aviation via hydrogen propulsion: Technology performance targets and energy system impacts. Nat. Commun. 14, 1–12 (2023) [Google Scholar]
  6. European Commission, Aviation noise impacts: State of the science. J. Occup. Environ. Health 19870 (2017) [Google Scholar]
  7. L. Goines, L. Hagler, Noise pollution: A modern plague. South. Med. J. 100, 287–294 (2007) [Google Scholar]
  8. H.M.E. Miedema, H. Vos, Exposure-response relationships for transportation noise. J. Acoust. Soc. Am. 104, 3432–3443 (1998) [Google Scholar]
  9. E.L. Ntantis, Capability expansion of non-linear gas path analysis (PhD thesis). Cranfield University, UK (2009) [Google Scholar]
  10. M.L. Clarke, J.M. Eager, Aircraft noise pollution: A review of impacts and mitigation strategies. J. Environ. Manag. 238, 201–210 (2019) [Google Scholar]
  11. E.L. Ntantis, P.N. Botsaris, Diagnostic methods for an aircraft engine performance. J. Eng. Sci. Technol. Rev. 8, 64–72 (2015) [Google Scholar]
  12. E.L. Ntantis, Y. Li, The impact of measurement noise on gas turbine GPA diagnostics, in Proceedings of The Sixth International Conference on Condition Monitoring & Machinery Failure Prevention Technologies, Dublin, Ireland (2009) [Google Scholar]
  13. E.L. Ntantis, Y. Li, The impact of measurement noise in GPA diagnostics analysis of a gas turbine engine. Int. J. Turbo Jet Engines 30, 401–408 (2013) [Google Scholar]
  14. X. Zhang, L. Li, LES predictions of noise emissions from a low-bypass ratio jet engine. J. Gas Turbines Power 133, 041202 (2011) [Google Scholar]
  15. A. Dittmar, T. Noll, Noise reduction technologies for turbofan engines: A review. Aerosp. Sci. Technol. 42, 38–47 (2015) [Google Scholar]
  16. Y.-L. Hsu, H.Y. Hwang, Aircraft noise and self-assessed mental health around a regional urban airport. Environ. Health 17, 74 (2018) [Google Scholar]
  17. S.A. Stansfeld, M.P. Matheson, Health consequences of aircraft noise. Environ. Health Perspect. 117, A60–A61 (2003) [Google Scholar]
  18. C.H. Lee, H.H. Cho, Numerical and experimental analysis of exhaust noise from turbofan engines. J. Sound Vib. 453, 124–137 (2020) [Google Scholar]
  19. European Commission, Environmental noise guidelines. (2018). https://doi.org/10.2838/561177 [Google Scholar]
  20. World Health Organization, Aircraft noise and health impacts. (2018). https://www.who.int/publications/i/item/aircraft-noise-and-health-impacts [Google Scholar]
  21. C.H. Hsu, K. Wang, Jet engine noise and the effects of nozzle modifications: A computational approach. Aeroacoustics J. 20, 305–315 (2021) [Google Scholar]
  22. X. Chen, Z. Li, Optimization of jet noise reduction in turbofan engines using passive and active control methods. J. Aircr. 56, 1420–1432 (2019) [Google Scholar]
  23. R. Patel, Integration of acoustic materials in aerodynamic structures. J. Aircr. Des. 35, 567–580 (2022) [Google Scholar]
  24. A. Singh, et al., Simulation-based material optimization for noise reduction. Int. J. Aerosp. Technol. 27, 230–240 (2023) [Google Scholar]
  25. T. Brown, et al., Noise challenges in modern military aircraft design. Def. Aviat. J. 45, 25–37 (2022) [Google Scholar]
  26. D. Green, Airframe and landing gear noise. Proc. Aeroacoust. Soc. 56, 142–155 (2021) [Google Scholar]
  27. R. Patel, Whole-aircraft vs. component source approaches in noise reduction. Int. J. Aerosp. Stud. 29, 398–412 (2020) [Google Scholar]
  28. J. Smith, et al., Computational aeroacoustics and the Ffowcs Williams-Hawkings equation. J. Aeroacoust. 58, 215–229 (2023) [Google Scholar]
  29. P. Johnson, A. Lee, Noise prediction using dp/dt methods in CFD. Comput. Mech. J. 42, 635–647 (2020) [Google Scholar]
  30. M. Carter, Advances in vortex shedding analysis for noise reduction. Aerosp. Res. Lett. 17, 58–72 (2021) [Google Scholar]
  31. A. Singh, et al., Simulation-based aeroacoustic optimization using DES. Int. J. Aerosp. Technol. 30, 88–101 (2023) [Google Scholar]
  32. M. Carter, R. Patel, Contour plotting for noise visualization in CFD. Aerosp. Mater. Conf. Proc. 40, 204–215 (2022) [Google Scholar]
  33. MatWeb, Material property data for M862AN. MatWeb. https://asm.matweb.com/search/SpecificMaterial.asp?bassnum=M862AN. (Accessed October 19, 2024) [Google Scholar]
  34. D. Green, Airframe and landing gear noise in modern aircraft. Proc. Aeroacoust. Soc. 57, 131–144 (2021) [Google Scholar]
  35. T. Brown, et al., Noise challenges and mitigation strategies in military aircraft design. Def. Aviat. J. 48, 95–108 (2022) [Google Scholar]
  36. E.L. Ntantis, E. Francis, V. Pugazendi, J. George, A. Tarek, M. Emthias, S. Rasheed, Study of sinusoidal perturbations on the leading edge of an aircraft wing. J. Aeronaut. Astronaut. Aviat. 53, 375–386 (2021) [Google Scholar]
  37. E.L. Ntantis, V. Xezonakis, Aerodynamic design optimization of a NACA 0012 airfoil: An introductory adjoint discrete tool for educational purposes. Int. J. Mech. Eng. Educ. 53, 611–630 (2024) [Google Scholar]
  38. E.L. Ntantis, V. Xezonakis, Improving transonic performance with adjoint-based NACA 0012 airfoil design optimization. Results Eng. 24, 103189 (2024) [Google Scholar]
  39. A. Singh, et al., Aeroacoustic optimization using DES for aircraft noise reduction. Int. J. Aerosp. Technol. 31, 145–158 (2023) [Google Scholar]
  40. A. Azodo, An analysis of acoustical absorption characteristics of agro-waste materials. Int. J. Environ. Sci. Technol. 19, 4671–4682 (2022) [Google Scholar]
  41. W. Aiduang, K. Jatuwong, P. Jinanukul, N. Suwannarach, J. Kumla, W. Thamjaree, T. Teeraphantuvat, T. Waroonkun, R. Oranratmanee, S. Lumyong, Sustainable innovation: Fabrication and characterization of mycelium-based green composites for modern interior materials using agro-industrial wastes and different species of fungi. Polymers 16, 550 (2024) [Google Scholar]
  42. D. Green, Airframe and landing gear noise in commercial aircraft: A comprehensive study. Proc. Aeroacoust. Soc. 58, 85–98 (2022) [Google Scholar]
  43. D. Green, Reducing airframe and landing gear noise: Strategies and advancements. Proc. Aeroacoust. Soc. 59, 112–125 (2023) [Google Scholar]
  44. P.N. Botsaris, E.L. Ntantis, Machining parameters evaluation during a wet, lubricated, and air-cooled turning process. J. Manuf. Sci. Prod. 14, 47–58 (2014) [Google Scholar]
  45. S.M. Berger, C.M. Raskin, Advances in noise reduction technologies for aircraft: A review of recent innovations and environmental impact. J. Aircr. 59, 1365–1378 (2022) [Google Scholar]
  46. P. Johnson, A. Lee, Bio-composites in aerospace applications: Opportunities for noise reduction and sustainability. J. Aerosp. Mater. 47, 89–101 (2022) [Google Scholar]
  47. L. Thomas, S. Harrison, Environmental impact of bio-based composites in aviation noise control. Environ. Eng. Aerosp. 39, 225–240 (2021) [Google Scholar]
  48. J. Cooper, H. Lee, Future directions in aerospace materials for reducing environmental and noise impacts. Aerosp. Innov. J. 44, 112–123 (2022) [Google Scholar]
  49. J. Kim, R. Clark, Hybrid bio-composite materials for aerospace noise reduction: A review of recent advancements. J. Adv. Aerosp. Mater. 53, 78–91 (2022) [Google Scholar]
  50. E.L. Ntantis, V. Xezonakis, Optimization of electric power prediction of combined cycle power plant using innovative machine learning technique. Optim. Control Appl. Methods 45, 2218–2230 (2024) [Google Scholar]
  51. V. Xezonakis, E.L. Ntantis, Modelling and energy optimization of a thermal power plant using multi-layer perception regression method. WSEAS Trans. Syst. Control 18, 243–254 (2023) [Google Scholar]
  52. Y. Zhang, X. Zhang, Y. Zhang, Noise reduction in helicopter cabins using microperforated panel composite sound absorption structures. MDPI Electron. 13, 8153 (2023) [Google Scholar]
  53. Z. Zhou, J. Wu, Z. Yang, Sound transmission through a finite-sized double panel cavity with a micro-perforated panel insertion. Appl. Acoust. 150, 1–9 (2019) [Google Scholar]
  54. J. Williams, D. Green, The future of noise control in aerospace: Integrating noise reduction with sustainable design. Environ. Eng. Aerosp. 39, 134–146 (2020) [Google Scholar]
  55. M. Aghaei, S. Dadvand, Collaborative strategies for sustainable aerospace technologies: A review of noise reduction, aerodynamic efficiency, and material innovations. J. Aerosp. Eng. 35, 123–134 (2022) [Google Scholar]
  56. X. Li, T. Wang, Z. Liu, Aerodynamic design and sustainability in aircraft manufacturing: The role of interdisciplinary collaboration, in Proceedings of the AIAA Aviation Forum (2020) p. 1–10 [Google Scholar]
  57. R. Reynolds, D. Harris, The role of materials science in reducing aircraft emissions: Collaborative approaches for sustainable aviation. Int. J. Aerosp. Mater. 12, 55–67 (2023) [Google Scholar]

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