Thennavarajan S
@nal.res.in
PhD Scholar IITM-Aerospace Engineering and Senior Officer-2(GrIII5), Propulsion, CSIR-NAL
Thennavarajan s
Design and Development of Aero Engine Components
Design and Development of High Speed Rotor System
Design and Development of Elastic Ring Squeeze Film Damper for High Speed Aero Engines
Design and Development of Air Bearings for High Speed Small Gas Turbine Engines
Aero Engine Health Monitoring and its Pressure and Temperature Sensor Development
Design and Development of superconductor current leads
EDUCATION
Doctoral Studies (PhD), Thesis progress
Indian Institute of Technology Madras
M.Tech.
National Institute of Technology Karnataka (NITK), Surathkal
AMIE/B.TECH
The Institution of Engineers (India) was established in 1920 in Kolkata, Department of Science & Technology, Government of India
RESEARCH, TEACHING, or OTHER INTERESTS
Aerospace Engineering, Mechanical Engineering, Multidisciplinary, Industrial and Manufacturing Engineering
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
S. Thennavarajan, Sadanand Kulkarni, L. P. Manikandan, Soumendu Jana, Ajit Kumar, and Iqbal Momin
Springer Singapore
Brijeshkumar Shah, M Sarvajith, Balaji Sankar, and S. Thennavarajan
IEEE
Aircraft gas turbine engine, being a complex system, uses a wide sensor network to monitor its performance for control and Engine Health Management (EHM) purposes. Both applications necessitate accurate functioning of all sensors, however due to harsh operating conditions, life and accuracy of sensors is affected. Early detection of drift in measurement or fault in sensors is important as it can help in avoiding false alarms in the EHM system. It is equally important to predict the measurement, that the sensor failed to measure, till the time sensor is replaced. An Auto Associative Neural network (AANN) based sensor validation module is an analytically-redundant sensor network, which provides continuous sensor status information and estimates the measurement value in place of faulty measurements during both online and offline data validation. The number of sensors used to monitor engine are large and it is not viable to monitor all the sensors using a single AANN. Hence in this work a novel approach is adopted for sensor validation and Estimation (SVE) where sensors are grouped into smaller sets based on their location and physical relationships between them. By breaking network into smaller groups dual benefit is achieved; first it reduces complexity arising from higher dimensionality, secondly it ensures multiple-validation of each sensor through various networks. The network is trained using data generated from a validated twin spool turbojet engine simulation model. Presented approach is validated through a simplified experiment and results show prompt fault identification and prediction of sensor value with satisfactory accuracy.
Balaji Sankar, Thennavarajan Subramanian, Brijeshkumar Shah, Vijayendranath Vanam, Soumendu Jana, Srinivisan Ramamurthy, Radhakant Satpathy, Benudhar Sahoo, and Satish Yadav
American Society of Mechanical Engineers
The user community of civil and military aircraft powered by gas turbine engines has a significant interest on simulation models for design, development and maintenance activities. These play a crucial role in understanding the aircraft mission performance. The simulation models can be used to understand the behavior of gas turbine engine running at various operating conditions, which are used for studying the aircraft performance and also vital for engine diagnostics. Other significant advantage of simulation model is that it can generate required data at intermediate stages in gas turbine engine, which sometimes cannot be obtained by measurement. Thus engine simulation model / virtual engine building is one of the important aspects towards development of Engine Health Management (EHM) system. This paper describes in detail the engine simulation model development for a typical twin spool turbo jet engine using commercially available Gas turbine Simulation Program (GSP). The engine simulation model has been used for typical aero-engine to get aero-thermodynamic gas path performance analysis related to engine run at Design point, Off Design points and the engine Acceleration-Deceleration Cycles (ADC). Simulations at different operating conditions have been carried out using scaled up characteristic maps of engine components. Design point data as well as engine gas path data obtained from test bed has been used to develop scaled up characteristic maps of the engine components. The simulation results have been compared with various test bed data sets for the purpose of validation. Predicted results of engine parameters like engine mass flow rate and thrust are in good agreement with the test bed data. This validated model can be used to simulate faulty engine components and to develop the fault identification modules and subsequently an EHM system.
RECENT SCHOLAR PUBLICATIONS
MOST CITED SCHOLAR PUBLICATIONS
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
U. Syamaprasad, Abhilash Kumar, K. Vinod, R. P. Aloysius, Sarun. P. M, Thennavarajan. S, P. Guruswamy at NIIST, Thiruvananthapuram PCT/IN2005/000440 (2007) (WO/2007/060687) “A Process for Continuous Production of Magnesium Diboride Based Superconductors” Granted in following countries Granted in India, US, UK, Germany and Australia, Japan
U. Syamaprasad, Abhilash Kumar, K. Vinod, R. P. Aloysius, Sarun. P. M, Thennavarajan. S, P. Guruswamy
Thennavarajan. S/CSIR-NIIST
Patent No. PCT/IN2005/000440 (2007) Engineering and Technology Published
Filed 2005-06-02 Published 2007-06-02
Thennavarajan. S, R. P. Aloysius, P. Guruswamy, U. Syamaprasad at NIIST, Thiruvananthapuram 0003NF/2006 (2006) “Superconductive contacts in bulk oxide superconductors for high-current applications and method for forming the same (003NF/2006)” Filed in India.
Thennavarajan. S, R. P. Aloysius, P. Guruswamy, U. Syamaprasad
Thennavarajan. S/CSIR-NIIST
Patent No. 0003NF/2006 (2006) Filed
Filed 2006-03-01
INDUSTRY EXPERIENCE
From May 2002 to till date (21years and 6Months)