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F.L. Lewis, Assoc. Director for Research Moncrief-O’Donnell Endowed Chair Head, Controls, Sensors, MEMS Group Automation & Robotics Research Institute (ARRI) The University of Texas at Arlington Bruno Borovic MEMS Modeling and Control With Ai Qun Liu, NTU Singapore T Thermal Model Rttot T T s qs 1 sCRttot T Rtcd Ct Rtcv Mechanical Model Rtr q d 2x dx m 2 cm x k m x f t dt dt Trm Electrical Model Optical Model 1/ 2 I s C L R sCe V s s 2 LCe sCe Re T 1 t 2 s2 2 U (t , s) exp 2 w0 2 w0 Z(s)=R+sL+1/sC Experiment 160 140 100 ttot [K/W] 120 R FEA 80 60 40 1 2 3 4 5 V[V] 6 7 8 9 MEMS Power Generation Permanent magnet S Vibrating body with the coil N MEMS Chip N S Ferromagnetic material Non- ferromagnetic material Vibration-driven E-Mag generator Fab Layout of Coils with Folded Beam Suspension Pressure Sensors for Pulmonary Ventilator Control Load-deflection relation for square membrane t Et 3 Et 3 P C1 4 w0 C2 4 C3 2 w0 a a a Optical Pressure Sensor FEA of membrane deflection s max Fig. 2. Relation between intensity loss and beam offset. 0 -0.5 intensity loss (db) Maximum membrane slope occurs at (x,y)= (a,a/2), (a,3a/2), (a/2,a), (3a/2,a). maximum slope is w0 2a Pa 4 2 C1 Et -1 -1.5 -2 -2.5 -3 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 relative beam offset theta/theta0 0.4 0.45 0.5 Fiber intensity loss vs. beam offset with Wendell McCulley- InterMEMS, Inc. MEMS process Fab layout 1/ 3 Testing and Calibration of Optical Pressure Sensors Array of membranes with different dimensions MicroFAB, Inc. fiberoptics Optical micro-lenses David Wallace Optical Pressure Sensor Calibration Facility Flow Sensors for Pulmonary Ventilator Control Au mirror w Out of 2Dplane assembly Flow V D Thermal Actuator movement Self-assembled Fixed support stanchions L Linear slide movement k Self-Assembly Sequence Si springs Optical fiber Drag Force FD 12 V 2C D A Hinges Optical Flow Sensor FEA For a wide range of Reynolds numbers, CD= 1.28 R Reynolds Number Vd Drag torque about the hinged bottom 2 L2 2 D C D w V (r )r dr C D wV0 0 2 2.6 1 2 L 2 2 1 2 Where a Cermak flow velocity profile is assumed Steady-state tilt angle is 12 Surface Micromachined Design C D wV0 2 2 k 2 . 6 L2 2 2 Flow Sensor based on von Karman Vortices No moving parts! x flow V z Optical fiber d w Bluff Body t Vibrating beam MicroFluidics for VLSI Chip Cooling Number of transistors on a chip is now limited by heat dissipation. Fabricate micro-channels on the back of the chip for cooling. With Dereje Agonafer, Director UTA Packaging Center Intellisuite simulation showing dry (RIE) etching of 110 Si to get Micro Channels. Channels are more than 100 microns high (ARRI). Biochemical Monitoring • • MEMS sensors for biochemical species including anthrax, nerve gases, NOx, organophosphorus Wireless Sensor Networks for remote site biochemical monitoring 1. BCW Detectors Molecular Recognition and Supramolecular Chemistry - D. Rudkevich In miniaturized supramolecular devices – sensors, surfaces, and membranes communication between the analyte-guests and their receptors on a molecular level is transformed to measurable macroscopic effects VISUAL RESPONSE GAS SUPPORT GAS SUPPORT RECEPTORS SENSORS calixarenes as unique, specific NO2-sensing species these interactions are reversible, unique, and specific SENSING MATERIALS 1. BCW Detectors Proteins (enzymes and antibodies) and aptamers as BCW sensors – R. Gracy, UNT Health Science Center Functional protein microarrays bind specific capture molecules to solid matrix materials Immunoassay for oxidized Fibrinogen isoforms as biomarkers for Alzheimer’s disease Oligonucleotide aptamers bind selected molecules Anti-ricin Aptamer as potential Biosensor for ricin 2. Thin Films for BCW Detector Support template-directed growth of thin films and composites. Structured chemically-active nanosphere thin films- K. Rajeshwar Deposit chemically active agent and dissolve nanospheres PS ball Electrostatically self-assembled polystyrene nanospheres To improve sensitivity to challenge agents down to ppb, it is necessary to improve charge separation to prevent recombination of electron/hole photogenerated charges. B Si TiO2 or CdS , IT Metal or Semiconductor Site-proximity mechanism in a Ni/TiO2 composite film illustrating the complementary roles of the Ni and TiO2 components. 3. MEMS Platforms for BCW Detection Agents Interdigitated Finger Gate Electrode FET Uses induced resistivity changes 3x3 IGEFET sensor micro-array – E. Kolesar Microcantilever MEMS sensor array- Kolesar Uses induced mass changes DSP and C&C User Interface for wireless networksLewis Neural network classification for unique signatures Microassembly Station Camera Resolution: NTSC Vertical Focusing Stage MP-285 XYZ degree of freedom Motorized probe Resolution: 40 nm IMAGE AQUISITION CARD Analog / Digital Input - output CARD MOTION CONTROLLERS LabView & Windows CVI Rotational stage Resolution: 0.01 deg Table XY Stage mounted on rotational stage Resolution: 3 m, 0.01 deg Microscope RS-232 Camera Resolution: NTSC Vertical Focusing Stage MP-285 XYZ degree of freedom Motorized probe Resolution: 40 nm Micro Manipulator IMAGE AQUISITION CARD Analog / Digital Input - output CARD MOTION CONTROLLERS LabView & Windows CVI Rotational stage Resolution: 0.01 deg Table XY Stage mounted on rotational stage Resolution: 3 m, 0.01 deg Microscope RS-232 MP-285 Probe Controller Manual Control Automatic Probe MP-285 NI Hardware Camera Resolution: NTSC Vertical Focusing Stage MP-285 XYZ degree of freedom Motorized probe Resolution: 40 nm IMAGE AQUISITION CARD * Already in use Analog / Digital Input - output CARD MOTION CONTROLLERS LabView & Windows CVI **Ideally, PXI system + SCXI signal conditioning Rotational stage Resolution: 0.01 deg Table XY Stage mounted on rotational stage Resolution: 3 m, 0.01 deg Microscope RS-232 • NI 1411 IMAQ card (Image Acquisition)* • NI6711 PCI card (Data Aquisition)* • NI 485/8 Serial Port Card (serial com. with controlller) • SCXI – Signal conditioning (thermocouple,…etc.) Vision & Automatic Probe Front Panel IMAGE AQUISITION CARD Analog / Digital Input - output CARD MOTION CONTROLLERS LabView & Windows CVI RS-232 Vision Feedback Vision info Stored map Map From MEMS-Pro 3D info Feature-based Localization With 3D info Based or pre-programmed behaviours OpenGL LabWindows /CVI IMAGE AQUISITION CARD Analog / Digital Input - output CARD MOTION CONTROLLERS LabView & Windows CVI RS-232 MEMS Packaging with Wendell McCulley Dereje Agonafer Packaging for MEMS Pressure Sensor- W. McCulley Piet Mondrian Pantographs for Position & Force Scaling