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Institution

National Aerospace Laboratories

FacilityBengaluru, India
About: National Aerospace Laboratories is a facility organization based out in Bengaluru, India. It is known for research contribution in the topics: Coating & Corrosion. The organization has 1838 authors who have published 2349 publications receiving 36888 citations.


Papers
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Proceedings ArticleDOI
01 Jan 1997
TL;DR: A Genetic Algorithm has been applied to optimize a transonic wing shape for generic transport aircraft and indicates that GA has found a best feasible solution in the given design constraints.
Abstract: A Genetic Algorithm (GA) has been applied to optimize a transonic wing shape for generic transport aircraft. A threedimensional compressible Navier-Stokes (N-S) solver is used to evaluate aerodynamic performance. The N-S evaluation is parallelized on Numerical Wind Tunnel (NWT) at National Aerospace Laboratory in Japan, a parallel vector machine with 166 processing elements. Designed wings show a tradeoff between an increase of the airfoil thickness driven by a structural constraint and a reduction of the wave drag produced by a shock wave. The present result indicates that GA has found a best feasible solution in the given design constraints.

29 citations

Journal ArticleDOI
TL;DR: In this paper, polycrystalline Bi 1−−− x Sb x (x ǫ = 0.12, 0.10, 0, 0., and 0.15) semiconducting alloys were synthesized by mechanical alloying in order to achieve homogeneous thermoelectric materials with improved mechanical strength.

29 citations

Journal ArticleDOI
TL;DR: In this paper, the impact of fuel to oxidizer molar ratios (F/O = 0.5-2.0) on luminescence properties is explored, and it is shown that higher F/O inhibits Eu3+ and promotes Eu2+ formation, which improves the quality of the blue phosphor.

29 citations

Journal ArticleDOI
TL;DR: In this paper, a review of ceramic materials used as radome materials is presented, including high-purity alumina, pyroceram, slip-cast-fused-silica, porosity and its influence on electromagnetic properties.

29 citations

Journal Article
TL;DR: An online structural health monitoring (SHM) system consisting of well-designed sensor networks incorporated in the structure along with necessary hardware and software can provide information about the structure, thereby leading to reporting of flaws or damages in real time as discussed by the authors.
Abstract: Aircraft industry is continually striving towards reducing the acquisition, operation and maintenance costs. Usage of advanced composite materials in primary aircraft structures have resulted in significant weight savings owing to their higher specific strength and specific stiffness. Composite structures, in spite of their inherent advantages, are prone to various damages. To detect and repair various structural damages that can occur during the service life of the aircraft, a thorough inspection schedule is implemented through conventional visual and Non Destructive Evaluation methods. Such scheduled inspections lead to considerable increase in maintenance cost & down-time of the aircraft. An online structural health monitoring (SHM) system consisting of well-designed sensor networks incorporated in the structure along with necessary hardware and software can provide information about the structure, thereby leading to reporting of flaws or damages in real time. Such a system can provide inputs for condition based maintenance which can result in reduced maintenance cost. This paper presents the work carried out at CSIR-National Aerospace Laboratories towards developing a flight-worthy SHM system and its demonstration on an unmanned aerial vehicle (UAV). Sensor selection, characterization, instrumentation design, algorithm development towards damage detection & load estimation at lab level and implementation of the technology on a UAV are discussed in this paper.

29 citations


Authors

Showing all 1850 results

NameH-indexPapersCitations
Harish C. Barshilia462366825
K.S. Rajam42834765
Kozo Fujii394115845
Parthasarathi Bera391365329
R.P.S. Chakradhar361664423
T. N. Guru Row363095186
Takashi Ishikawa361545019
Henk A. P. Blom341685992
S. Ranganathan332115660
S.T. Aruna331014954
Arun M. Umarji332073582
Vinod K. Gaur33924003
Keisuke Asai313503914
K. J. Vinoy302403423
Gangan Prathap302413466
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202310
202216
2021143
2020100
201996
2018119