* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download 2003 ME Graduate Student Conference
Survey
Document related concepts
Intercooler wikipedia , lookup
Dynamic insulation wikipedia , lookup
Heat exchanger wikipedia , lookup
Thermoregulation wikipedia , lookup
Solar water heating wikipedia , lookup
Underfloor heating wikipedia , lookup
Space Shuttle thermal protection system wikipedia , lookup
Cogeneration wikipedia , lookup
Insulated glazing wikipedia , lookup
Building insulation materials wikipedia , lookup
Heat equation wikipedia , lookup
Passive solar building design wikipedia , lookup
Hyperthermia wikipedia , lookup
Solar air conditioning wikipedia , lookup
Copper in heat exchangers wikipedia , lookup
Thermal comfort wikipedia , lookup
R-value (insulation) wikipedia , lookup
Transcript
2013 ME Graduate Student Conference April 27, 2013 THERMO-STRUCTURAL SIMULATION OF THERMALLY ACTUATED NANO- AND MICRO-STRUCTURES Elham Maghsoudi Ph.D. Candidate Faculty Advisor: Dr. Michael James Martin ABSTRACT The role of simulation as it is predictive in nature, and provides information that is required in planning future design and experiments, becomes more significant in the areas where measurements are difficult. This work provides a thermo-structural simulation for nano-scale and microscale structures which are thermally actuated. We consider four applications: thermal positioning of wave guides [1-2], thermal actuation of micro-scale switches [3], a novel thermally actuated mechanical memory system [4], and thermal actuation of micro-scale resonators [5]. Because these devices are thermally actuated, the heat conduction equation in the system is a controlling parameter. The dimensionless Knudsen number determines which convective heat transfer coefficient must be used in the simulation. The ambient pressure will change the Knudsen number and as a result, the flow regime. Several researchers have studied gas pressure effects on heat transfer from the mico- and nano-structures to the surrounding gas [6-10]. The results show that gas phase heat transfer is an important parameter for devices of this size at ambient pressure. As the pressure decreases below 5 Torr, the effects of convection become minimal [9]. Since the displacement is the response of the system in these devices, several studies have been performed on conductive heat transfer effects on the mechanical response of the system [11-13]. In this work, the study began with simulating a doubly clamped beam in micro-scale and nano-scale. Thermal positioning, which is adding a constant, time-independent heat flux to deflect the system is investigated in micro- and nano-scale. The thermal positioning response is the thermally steady state center displacement of the bridge. The steady state thermo-structural equation is solved numerically using an implicit Finite Difference method to obtain the thermally steady state center displacement. The results are non-dimensionalized to provide insight into thermal positioning across a range of structure length scales and material properties. The Displacement Ratio which is the representative of the thermal noise is defined as the center displacement, created by thermal stresses, divided by thermal displacement. Thermal noise analysis and the displacement variations by pressure suggest silicon carbide as the most appropriate material to fabricate nano-devices where positioning accuracy is a design requirement. It shows the displacements of the order of angstrom for an average heat load and thermal noises of tens of the order of the magnitude for nano-scale structures [14]. The thermal positioning simulation is used to improve the thermal efficiency of a thermal micro-switch [3] by introducing various heating configurations: a distributed heat configuration, a center-heating configuration and a side-heating configuration. The results show that for a specific steady state center displacement for distributedheating configuration and center-heating configuration, a closed switch requires less heat at the top than an open switch. Heat addition to the center of the top surface of the bridge is the most efficient way to obtain a larger center displacement per unit heat addition. It is more thermally efficient than adding concentrated heat to the sides of the top surface by a factor of 8.8 in the open position and 17 in the closed position [15]. The thermal positioning simulation is also used to simulate a novel thermal buckling storage nano-memory for space exploration computer systems. The two technologies of buckling beam [16] and thermal positioning are used to design this storage nano-memory. Current space missions use radiation locker for all the electronics. The current Juno mission has a 200 kg “radiation vault” and still expected to succumb to radiation after 6 months [17]. The high energy particles collision simulation is performed for this memory design. The results show that this memory is radiation protected which makes it a unique design for space exploration computer systems in harsh environments such as Europa orbit of Jupiter. Using an unsteady simulation, the power requirements for thermal actuations, optimal geometry, and write time of the device for various materials are investigated. The results show this memory has reasonable power consumption and an acceptable data storage density in comparison with the current memory devices [4]. The study continued with the simulation of thermal actuation in a nano-structure bridge. Thermal actuation applies sinusoidal heating (time-dependent heat load) leading to vibration in the bridge. The heat addition is harmonic and time-dependent. The structural equation is rederived to take into account the acceleration and inertial effects to study the dynamic behavior of the system. The heat conduction equation includes thermo-elastic terms [18]. The same implicit Finite Difference scheme is used to solve the coupled thermo-structural equation at each time step. The thermal actuation simulation analyzes the phase delay between the excitation and the response, the steady state amplitude, and the vibration amplitude for a range of frequencies. The simulations also show the effect of changing the power supplied and the ambient pressure on the vibration amplitude and the steady state amplitude [5]. The results are applicable in simulating the dynamic behavior of nano-scale devices used for switching, nanomanufacturing, and measurement. Constant thermal properties assumption is acceptable for very low heat flux added to the system. However, temperature increase up to 300 K due to higher heat flux added to the system creates substantial variations in some thermal properties such as thermal conductivity and thermal expansion coefficient [19]. Thermal conductivity changes up to 59%, specific heat changes up to 19% and thermal expansion coefficient increases up to 15% by 300 K increase in the temperature. The transient thermo-structural simulations were repeated for temperature dependent thermal properties. The results show that the steady state and vibration displacement variation by the total heat added to the system corresponds to a nonlinear system while the results using constant thermal properties show a linear system. For high heat addition rates, temperature dependent thermal conductivity changes the temperature distribution significantly leading to a significant change in center displacement. Although temperature dependent thermal expansion coefficient does not affect the temperature distribution it significantly increases the displacement due to an increase in the thermal stress. Future work will focus on applying this information to the control of thermally actuated micro- and nano-systems by determining Bode and Nyquist diagrams. ACKNOWLEDGMENTS I would acknowledge support provided by NASA and the Louisiana Space Grant Consortium through LEQSF (2010)-DART-42, “Robust Nano-Mechanical Memory for Space Exploration.” I would thank Professor Michael Murphy (Louisiana State University) and Dr. Harish Manohara (NASA Jet Propulsion Laboratory (JPL), California Institute of Technology) for useful suggestions on thermal memory design and simulation. I would also like to thank Professor Guoqiang Li and Professor Harris Wong (Louisiana State University) for their helpful comments on steady response to steady (constant heat load) actuation. I would also like to thank Professor Hosam Fathy (Pennsylvania State University) for sharing files on structural vibration section in transient response to harmonic actuation and Profrssor Marcio DeQueiroz (Louisiana State University) for technical communication on vibration part and providing technical resources. The computational simulations were performed on LONI (The Louisiana Optical Network Initiative) clusters. REFERENCES 1. Wang, X., et al, IEEE Photonics Technology Letter, 20, pp. 936-938, 2008. 2. Nguyen, C. T.-C., IEEE Transactions on Microwave Theory and Techniques, 47, pp. 14861503, 1999. 3. Blondy, P., et al, Topical Meeting on Silicon Monolithic Integrated Circuits in RF Systems, pp. 47-49, 2001. 4. Maghsoudi, E. and Martin, M. J., ITherm 2012, San Diego, CA, May 2012. 5. Maghsoudi, E. and Martin, M. J., InterPACK 2013, Burlingame, CA, July 2013. 6. Hickey, R., Journal of Vacuum Science Technology A, Vol. 20(3), pp. 971-974, 2002. 7. Lee, J., et al, Journal of Applied Physics, Vol. 101, Issue 1, 6pp, DOI: 10.1063/1.2403862, 2007. 8. Liu, H., Applied Thermal Engineering, Vol. 27, pp. 323-329, 2007. 9. Phinney, L. M., et al, Journal of Heat Trans- T ASME, 132, pp. 072402-1-9, 2010. 10. Martin, M. J., and Houston, B. H., Journal of Physics of Fluids, 21, pp. 017101-1-8, 2009. 11. Ilic, B., et al, Journal of Applied Physics, Vol. 107, pp. 034311-1-13, 2010. 12. Mastropaolo, E., and Cheung, R., Journal of Vacuum Science Technology B, Vol. 26(6), 26192623, 2008. 13. Mastropaolo, E., et al, Journal of Vacuum Science Technology B, Vol. 27(6), pp. 3109-3114, 2009. 14. Maghsoudi, E., and Martin, M. J., ASME Journal of Heat Transfer, Vol. 134, DOI: 10.1115/1.4006661, 2012. 15. Maghsoudi, E. and Martin, M. J., ASME Journal of Electronic Packaging, DOI: 10.1115/1.4024012, 2013. 16. ARYA, R., et al, Journal of Micromechanics and Microengineering, Vol. 16, pp. 40-47, 2006. 17. D Brown, “NASA Juno Launch Press Kit,” August 2011. 18. Lifshitz, R. and Roukes, M. L., Physics Review B, Vol. 61, No. 8, pp. 5600-5609, 2000. 19. Hull, R., “Properties of Crystalline Silicon”, INSPEC, London, UK, 1999.