Development of technology for two- and three- dimensional aerodynamic trials for high performance aircraft project

• Grant number: 00/13769-0
• Support Opportunities: Research Grants - Research Partnership for Technological Innovation - PITE
• Start date: June 01, 2001
• End date: November 30, 2007
• Field of knowledge: Engineering - Aerospace Engineering
• Principal Investigator: Olympio Achilles de Faria Mello
• Grantee: Olympio Achilles de Faria Mello
• Host Institution: Instituto de Aeronáutica e Espaço (IAE). Departamento de Ciência e Tecnologia Aeroespacial (DCTA). Ministério da Defesa (Brasil). São José dos Campos , SP, Brazil
• Company: Empresa Brasileira Aeronáutica S/A (EMBRAER)
• City: São José dos Campos

Abstract

This project is aimed at the application of new methods to increase the productivity and reliability of low velocity aerodynamic tests carried out in Brazil, as well as new methods for two-dimensional and three-dimensional tests, in order to provide the corresponding support to our aeronautical industry, so that it can develop new aerodynamic profiles and wing configurations, and obtain performance gains - and, consequently, an increase in competitiveness - on a time scale compatible with market realities. The innovation proposed here was of an incremental type, so as to fine tune, by means of a series of actions, the services of subsonic aerodynamic tests necessary for the design of aircraft. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

BARBOSA, I. M.; DEL MORAL HERNANDEZ, E.; REIS, M. L. C. C.; MELLO, O. A. F.. MEASUREMENT UNCERTAINTY CONTRIBUTION TO THE MLP NEURAL NETWORK LEARNING ALGORITHM APPLIED TO AERODYNAMIC EXTERNAL BALANCE CALIBRATION CURVE FITTING. Metrology and Measurement Systems, v. 14, n. 1, SI, p. 101-112, 2007. (00/13769-0)

BARBOSA, I. M.; DEL MORAL HERNANDEZ, E.; REIS, M. L. C. C.; MELLO, O. A. F.. MEASUREMENT UNCERTAINTY CONTRIBUTION TO THE MLP NEURAL NETWORK LEARNING ALGORITHM APPLIED TO AERODYNAMIC EXTERNAL BALANCE CALIBRATION CURVE FITTING. Metrology and Measurement Systems, v. 14, n. 1, p. 12-pg., 2007-01-01. (00/13769-0)

REIS, M. L. C. C.; CASTRO, R. M.; MELLO, O. A. F.. Calibration uncertainty estimation of a strain-gage external balance. MEASUREMENT, v. 46, n. 1, p. 24-33, JAN 2013. (00/13769-0, 02/01933-6, 06/02628-3)