Academic literature on the topic 'Green aircraft design'
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Journal articles on the topic "Green aircraft design":
Djojodihardjo, Harijono. "Overview of green quad bubble business jet aerodynamic configuration design." Aircraft Engineering and Aerospace Technology 90, no. 3 (April 9, 2018): 566–82. http://dx.doi.org/10.1108/aeat-12-2016-0241.
Brooker, P. "Civil aircraft design priorities: air quality? climate change? noise?" Aeronautical Journal 110, no. 1110 (August 2006): 517–32. http://dx.doi.org/10.1017/s0001924000001408.
Xi, Mingze. "Rational Design of Future Potential Electric Aircraft." Journal of Physics: Conference Series 2434, no. 1 (January 1, 2023): 012006. http://dx.doi.org/10.1088/1742-6596/2434/1/012006.
Booker, Julian, Caius Patel, and Phillip Mellor. "Modelling Green VTOL Concept Designs for Reliability and Efficiency." Designs 5, no. 4 (October 28, 2021): 68. http://dx.doi.org/10.3390/designs5040068.
Keivanpour, Samira, Daoud Ait Kadi, and Christian Mascle. "End of life aircrafts recovery and green supply chain (a conceptual framework for addressing opportunities and challenges)." Management Research Review 38, no. 10 (October 19, 2015): 1098–124. http://dx.doi.org/10.1108/mrr-11-2014-0267.
Baalbergen, Erik, Wim Lammen, Nikita Noskov, Pier-Davide Ciampa, and Erwin Moerland. "Integrated collaboration capabilities for competitive aircraft design." MATEC Web of Conferences 233 (2018): 00015. http://dx.doi.org/10.1051/matecconf/201823300015.
Kernstine, Kemp, Bryan Boling, Latessa Bortner, Eric Hendricks, and Dimitri Mavris. "Designing for a Green Future: A Unified Aircraft Design Methodology." Journal of Aircraft 47, no. 5 (September 2010): 1789–97. http://dx.doi.org/10.2514/1.c000239.
Fera, Marcello, Raffaele Abbate, Mario Caterino, Pasquale Manco, Roberto Macchiaroli, and Marta Rinaldi. "Economic and Environmental Sustainability for Aircrafts Service Life." Sustainability 12, no. 23 (December 3, 2020): 10120. http://dx.doi.org/10.3390/su122310120.
Ouyang, Zeyu, Theoklis Nikolaidis, and Soheil Jafari. "Integrated Power and Thermal Management Systems for Civil Aircraft: Review, Challenges, and Future Opportunities." Applied Sciences 14, no. 9 (April 26, 2024): 3689. http://dx.doi.org/10.3390/app14093689.
Wang, Yu, Wenyuan Ma, and Zhaolin Chen. "Sensitivity Analysis for Design Parameters of Electric Tilt-Rotor Aircraft." Aerospace 11, no. 4 (April 20, 2024): 322. http://dx.doi.org/10.3390/aerospace11040322.
Dissertations / Theses on the topic "Green aircraft design":
Saves, Paul. "High dimensional multidisciplinary design optimization for eco-design aircraft." Electronic Thesis or Diss., Toulouse, ISAE, 2024. http://www.theses.fr/2024ESAE0002.
Nowadays, there has been significant and growing interest in improving the efficiency of vehicle design processes through the development of tools and techniques in the field of multidisciplinary design optimization (MDO). In fact, when optimizing both the aerodynamics and structures, one needs to consider the effect of the aerodynamic shape variables and structural sizing variables on the weight which also affects the fuel consumption. MDO arises as a powerful tool that can perform this trade-off automatically. The objective of the Ph. D project is to propose an efficient approach for solving an aero-structural wing optimization process at the conceptual design level. The latter is formulated as a constrained optimization problem that involves a large number of design variables (typically 700 variables). The targeted optimization approach is based on a sequential enrichment (typically efficient global optimization (EGO)), using an adaptive surrogate model. Kriging surrogate models are one of the most widely used in engineering problems to substitute time-consuming high fidelity models. EGO is a heuristic method, designed for the solution of global optimization problems that has performed well in terms of quality of the solution computed. However, like any other method for global optimization, EGO suffers from the curse of dimensionality, meaning that its performance is satisfactory on lower dimensional problems, but deteriorates as the dimensionality of the optimization search space increases. For realistic aircraft wing design problems, the typical size of the design variables exceeds 700 and, thus, trying to solve directly the problems using EGO is ruled out. In practical test cases, high dimensional MDO problems may possess a lower intrinsic dimensionality, which can be exploited for optimization. In this context, a feature mapping can then be used to map the original high dimensional design variable onto a sufficiently small design space. Most of the existing approaches in the literature use random linear mapping to reduce the dimension, sometimes active learning is used to build this linear embedding. Generalizations to non-linear subspaces are also proposed using the so-called variational autoencoder. For instance, a composition of Gaussian processes (GP), referred as deep GP, can be very useful. In this PhD thesis, we will investigate efficient parameterization tools to significantly reduce the number of design variables by using active learning technics. An extension of the method could be also proposed to handle mixed continuous and categorical inputs using some previous works on low dimensional problems. Practical implementations within the OpenMDAO framework (an open source MDO framework developed by NASA) are expected
Pecorella, Daniele. "Methodology for the design and optimization of a morphing wing droop-nose structure for greener aircraft." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.
Book chapters on the topic "Green aircraft design":
Quagliarella, Domenico, Elisa Morales Tirado, and Andrea Bornaccioni. "Risk Measures Applied to Robust Aerodynamic Shape Design Optimization." In Flexible Engineering Toward Green Aircraft, 153–68. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36514-1_9.
Ilg, R. "Systematic approach of upscaling aircraft parts and sub-modules to aircraft level." In Green Design, Materials and Manufacturing Processes, 289–92. CRC Press, 2013. http://dx.doi.org/10.1201/b15002-56.
"Airline Effective Noise Management Strategies." In Airline Green Operations Strategies, 131–52. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-4255-2.ch006.
Suder, Kenneth L., and James D. Heidmann. "Improvement of aeropropulsion fuel efficiency through engine design." In Green Aviation: Reduction of Environmental Impact Through Aircraft Technology and Alternative Fuels, 49–79. CRC Press, 2018. http://dx.doi.org/10.1201/b20287-4.
Lewis, Kristin C., Dan F. B. Flynn, and Jeffrey J. Steiner. "Biofuel feedstocks and supply chains: how ecological models can assist with design and scaleup." In Green Aviation: Reduction of Environmental Impact Through Aircraft Technology and Alternative Fuels, 247–68. CRC Press, 2018. http://dx.doi.org/10.1201/b20287-12.
Ashwini, A., S. R. Sriram, A. Manisha, and J. Manoj Prabhakar. "Artificial Intelligence's Impact on Thrust Manufacturing With Innovations and Advancements in Aerospace." In Industry Applications of Thrust Manufacturing, 197–220. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-4276-3.ch008.
Conference papers on the topic "Green aircraft design":
Pustina, L. "Towards multidisciplinary design optimization of next-generation green aircraft." In Aeronautics and Astronautics. Materials Research Forum LLC, 2023. http://dx.doi.org/10.21741/9781644902813-97.
Collier, Fayette, and Richard Wahls. "Aerodynamic Design and Enabling Technologies for Green Aircraft (Invited)." In 27th AIAA Applied Aerodynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-4315.
Ismail, M. S., M. F. Mohammed, K. N. Sivaraman, S. N. Sivaraman, and M. I. Hussain. "Smart IoT temperature and humidity alert system at aircraft composite storage area." In PROCEEDINGS OF GREEN DESIGN AND MANUFACTURE 2020. AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0044198.
Werner-Westphal, Christian, Wolfgang Heinze, and Peter Horst. "Multidisciplinary Integrated Preliminary Design Applied to Future Green Aircraft Configurations." In 45th AIAA Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-655.
Chen, G., W. Deng, and J. Zhang. "Design and research of green electric taxiing system based on MBSE method." In CSAA/IET International Conference on Aircraft Utility Systems (AUS 2020). Institution of Engineering and Technology, 2021. http://dx.doi.org/10.1049/icp.2021.0352.
Landrum, D. Brian, Kyle Schikore, and Ryan Longchamps. "Design and Flight Testing of an Experimental Aircraft for Green Leveraged Energy." In 55th AIAA Aerospace Sciences Meeting. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-0514.
Dimino, Ignazio, Salvatore Ameduri, and Antonio Concilio. "Preliminary Failure Analysis and Structural Design of a Morphing Winglet for Green Regional Aircraft." In ASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/smasis2018-8236.
Koster, Jean, Ewald Kraemer, Claus-Dieter Munz, Dries Verstraete, K. C. Wong, and Alec Velazco. "Workforce Development for Global Aircraft Design." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-62273.
Koster, Jean, Scott Balaban, Derek Hillery, Cody Humbargar, Derek Nasso, Eric Serani, and Alec Velazco. "Design of a Blended Wing Body UAS With Hybrid Propulsion." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-62126.
Pallavi, M., Pramod Kumar, Tanweer Ali, Satish B. Shenoy, and Lokesh Sharma. "Design and Analysis of Patch Antenna with T-Shape DGS for Aircraft Surveillance Applications." In 2022 6th International Conference on Green Technology and Sustainable Development (GTSD). IEEE, 2022. http://dx.doi.org/10.1109/gtsd54989.2022.9989196.