The results predicted that the variable camber airfoil exhibited the best lift/drag performance. Kaul 9, 10 studied the effects of various VCCTEF configurations on the lift and drag of a NASA generic transport model wing section. Researchers have conducted research on the deformation principle of the variable camber wing, and on the optimization design of the airfoil. Therefore, the combination of variable camber airfoil structures with intelligent materials and flexible deformation technologies has shown broad application prospects for the design of aircraft wings. By adding an engineering-realizable “VCCTEF” system, variable camber technology can be further explored and investigated, and the demands for high efficiency, environmental friendliness, economy, and safety can be satisfied. For a variable camber wing, the “Variable Camber Continuous Trailing Edge Flap”(VCCTEF) project supervised by Boeing and NASA is one of the most influential research projects. In aerodynamics, a variable camber wing is one of the most effective ways to achieve this purpose. 1– 2 Changing the shape of the wing structure is always a popular topic in aviation, for example, to ensure that the aircraft can continuously obtain the optimal aerodynamic benefits under different flight states. With the increasing demand for a green living environment and rising costs of fuel, enhancing the lift coefficient, reducing the drag coefficient, and degrading noise have become constant research topics in wing design for large civil aircraft. Therefore, the optimization method and results can provide a reference for the aerodynamic design and acoustic design of large civil aircraft wings. In contrast, the noise in the low and medium frequencies remained unchanged. In addition, the corresponding 3D airfoil improved the aerodynamic performance and reduced the noise at a high frequency (by approximately 16 dB). Furthermore, to validate the 2D optimal results, the optimized 2D airfoil was stretched into 3D, and it was discovered that the aerodynamic performance trend of the 3D airfoil with respect to the angle of attack was basically the same as that of the 2D airfoil. The optimization results showed that the lift-to-drag ratio of the 2D airfoil could be increased by more than 14 when the angle of attack was less than 8° relative to the original airfoil. Otherwise, the Fluent results were inserted into the database to update the DNN prediction model. If the DNN result approximated the Fluent results, the iterative process was stopped. The optimal results were validated using Fluent. A genetic algorithm was used in each iteration to maximize the lift coefficient and lift-to-drag ratio, as predicted using a deep neural network (DNN). Second, an iterative algorithm was constructed to optimize the variable camber airfoil in terms of the rotation angle of the leading edge, deflection position of the leading edge, rotation angle of the trailing edge, and deflection position of the trailing edge. An initial database was established for a deep neural network. First, the influences of the variable camber of the leading and trailing edges on the airfoil aerodynamic performance were investigated using a computational fluid dynamics numerical simulation. This work focused on the optimization of a variable camber airfoil. Variable camber is an effective method for improving the flight efficiency of large aircraft, and has attracted the attention of researchers. All subjects Allied Health Cardiology & Cardiovascular Medicine Dentistry Emergency Medicine & Critical Care Endocrinology & Metabolism Environmental Science General Medicine Geriatrics Infectious Diseases Medico-legal Neurology Nursing Nutrition Obstetrics & Gynecology Oncology Orthopaedics & Sports Medicine Otolaryngology Palliative Medicine & Chronic Care Pediatrics Pharmacology & Toxicology Psychiatry & Psychology Public Health Pulmonary & Respiratory Medicine Radiology Research Methods & Evaluation Rheumatology Surgery Tropical Medicine Veterinary Medicine Cell Biology Clinical Biochemistry Environmental Science Life Sciences Neuroscience Pharmacology & Toxicology Biomedical Engineering Engineering & Computing Environmental Engineering Materials Science Anthropology & Archaeology Communication & Media Studies Criminology & Criminal Justice Cultural Studies Economics & Development Education Environmental Studies Ethnic Studies Family Studies Gender Studies Geography Gerontology & Aging Group Studies History Information Science Interpersonal Violence Language & Linguistics Law Management & Organization Studies Marketing & Hospitality Music Peace Studies & Conflict Resolution Philosophy Politics & International Relations Psychoanalysis Psychology & Counseling Public Administration Regional Studies Religion Research Methods & Evaluation Science & Society Studies Social Work & Social Policy Sociology Special Education Urban Studies & Planning BROWSE JOURNALS
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