Investigating Flow Dynamics with Wireless Pressure Sensors Network

Wireless sensors networks enable the chance to investigate with enhanced freedom physical phenomena, aiming to increase the informative content obtained by sensors measurements. In this work we will focus on a system allowing to experimentally measure pressure profiles obtained from sensor nodes deployed on a NACA0012 aircraft wing model. By exploiting measurements gathered from sensors, allowing to measure pressure fluctuations of ±600Pa with a resolution of 4Pa, together with results obtained by Computational Fluid Dynamics (CFD) models, the system enables extracting flow profile, thus obtaining information on flow separation and stall phenomenon. Wireless measures are delivered with an enhanced version of IEEE802.15.4e, allowing to decrease power consumption by a factor of 7. Packet routing, based on Routing Protocol for Low-Power and Lossy Networks (RPL), has been improved by means of a newly introduced Lifetime and Latency Aggregatable Metric (L2AM) leading to a 18% increased network lifetime.

[1]  Roberto Guidorzi,et al.  Structural monitoring of a tower by means of MEMS-based sensing and enhanced autoregressive models , 2014, Eur. J. Control.

[2]  Avelino Samartín,et al.  Wireless Measurement System for Structural Health Monitoring With High Time-Synchronization Accuracy , 2012, IEEE Transactions on Instrumentation and Measurement.

[3]  Dieter Peitsch,et al.  Determination of the Pressure Distribution and Fluctuations of the Transonic Flow in a Highly Loaded Compressor Cascade , 2013 .

[4]  Sung-Eun Kim,et al.  Computations of Complex Turbulent Flows Using the Commercial Code Fluent , 1999 .

[5]  Edward Sazonov,et al.  Wireless Intelligent Sensor and Actuator Network - A Scalable Platform for Time-synchronous Applications of Structural Health Monitoring , 2010 .

[6]  D. Spalding,et al.  A calculation procedure for heat, mass and momentum transfer in three-dimensional parabolic flows , 1972 .

[7]  Ildon Guilherme Borchardt,et al.  Pseudo−bridge: a different way to compare resistances , 1975 .

[8]  Maria Grazia De Giorgi,et al.  Aircraft Distributed Flow Turbulence Sensor Network with Embedded Flow Control Actuators , 2014, 2014 12th IEEE International Conference on Embedded and Ubiquitous Computing.

[9]  Dominique Barthel,et al.  Routing Metrics Used for Path Calculation in Low-Power and Lossy Networks , 2012, RFC.

[10]  Anne S. Kiremidjian,et al.  Modular, wireless network platform for monitoring structures , 1998 .

[11]  Philip Levis,et al.  RPL: IPv6 Routing Protocol for Low-Power and Lossy Networks , 2012, RFC.

[12]  Rohit K. Belapurkar,et al.  Application of wireless sensor networks to aircraft control and health management systems , 2011 .

[13]  T. Shih,et al.  A new k-ϵ eddy viscosity model for high reynolds number turbulent flows , 1995 .

[14]  Hoon Sohn,et al.  A review of structural health monitoring literature 1996-2001 , 2002 .

[15]  Christian Boller,et al.  Health Monitoring of Aerospace Structures , 2003 .

[16]  Riccardo Brama,et al.  An inter-device communication protocol for modular smart-objects , 2014, 2014 IEEE World Forum on Internet of Things (WF-IoT).

[17]  Jerome P. Lynch,et al.  The Design of a Wireless Sensing Unit for Structural Health Monitoring , 2001 .

[18]  Mohammed Atiquzzaman,et al.  Wireless sensor network for aircraft health monitoring , 2004, First International Conference on Broadband Networks.

[19]  Thom Stone,et al.  Fault tolerance in ZigBee wireless sensor networks , 2011, 2011 Aerospace Conference.

[20]  Rajat Mittal,et al.  RESONANT MODE INTERACTION IN A CANONICAL SEPARATED FLOW , 2006 .

[21]  R. J. Barton,et al.  Performance comparison of wireless sensor network standard protocols in an aerospace environment: ISA100.11a and ZigBee Pro , 2012, 2012 IEEE Aerospace Conference.

[22]  Jerome P. Lynch,et al.  A summary review of wireless sensors and sensor networks for structural health monitoring , 2006 .

[23]  Gennaro Boggia,et al.  Modeling and simulation of energy efficient enhancements for IEEE 802.15.4e DSME , 2014, 2014 Wireless Telecommunications Symposium.

[24]  John G. Webster,et al.  Sensors and Signal Conditioning , 1993 .

[25]  Jean-Philippe Vasseur,et al.  A performance evaluation study of RPL: Routing Protocol for Low power and Lossy Networks , 2010, 2010 44th Annual Conference on Information Sciences and Systems (CISS).