Design and Simulation of a MEMS High G Inertial Impact Sensor Y.P. Wang1, R.Q. Hsu1, C.W. Wu2 1Department of Mechanical Engineering, National Chiao Tung.

Slides:



Advertisements
Similar presentations
Sec-TEEN: Secure Threshold sensitive Energy Efficient sensor Network protocol Ibrahim Alkhori, Tamer Abukhalil & Abdel-shakour A. Abuznied Department of.
Advertisements

Design and Simulation of a Novel MEMS Dual Axis Accelerometer Zijun He, Advisor: Prof. Xingguo Xiong Department of Electrical and Computer Engineering,
İsmail Erkin Gönenli Advisor: Zeynep Çelik-Butler Department of Electrical Engineering The University of Texas, Arlington.
slide 1 Measuring Natural Frequency and Non-Linear Damping on Oscillating Micro Plates ICEM 13 Alexandroupolis, Greece July 1-5, 2007 Sandia is a multiprogram.
Arizona State University 2D BEAM STEERING USING ELECTROSTATIC AND THERMAL ACTUATION FOR NETWORKED CONTROL Jitendra Makwana 1, Stephen Phillips 1, Lifeng.
MEMS Gyroscope with Electrostatic Comb Actuation and Differential Capacitance Sensing Haifeng Dong, Zheng Yao, Advisor: Xingguo Xiong Department of Electrical.
An Introduction to Electrostatic Actuator
Project #3: Design of a MEMS Vertical Actuator Jianwei Heng Alvin Tai ME128 Spring 2005.
Automotive Research Center Robotics and Mechatronics A Nonlinear Tracking Controller for a Haptic Interface Steer-by-Wire Systems A Nonlinear Tracking.
M ICRO -E LECTRO M ECHANICAL S YSTEMS (MEMS). MEMS Micro Electrical Mechanical Systems Practice of making and combining miniaturized mechanical and electrical.
EXOSKELETON – FOR THE FUTURE OF SUPER SOLDIRES CPT Richard O. Adansi University of Texas at El Paso Department of Mathematical Science (CPS 5195) 7 th.
Dr. Shanker Balasubramaniam
M M S S V V 0 Free vibration analysis of a circular plate with multiple circular holes by using addition theorem and direct BIEM Wei-Ming Lee 1, Jeng-Tzong.
Autonomous Vehicle Positioning with GPS in Urban Canyon Environments
NTHU PME EDL, Chih-Wei Lin Biomimetic Micro Sensors: Artificial Hair and Flow Sensors Chih-Wei Lin (D937708) NTHU PME Engineering Design Lab.
TO STUDY THE DEFLECTION OF MEMS ETM ACTUATOR BY USING 20-Sim
Performance Guarantees for Hazard Based Lateral Vehicle Control
1 Inertial Sensors  Inertial Sensors? Inertial sensors in inertial navigation : big & expensive MEMS(Micro-Electro-Mechanical Systems) Technology  Accelerometer.
3D MEMS Accelerometers for Building Applications
CHEMICAL SENSING USING MEMS. courtsey Micro Electro Mechanical Systems Micro-Electro-Mechanical Systems (MEMS) is the integration of mechanical.
CAMP-G/Matlab Vehicle Crash Test
Development of a Wearable 6-D Force Sensor for Human Dynamics Analysis Tao LIU Department of Intelligent Mechanical Systems Engineering Kochi University.
Microsystems and sensor networks Lecturer - prof. Tadeusz Pisarkiewicz building C-1, room No homepage:
Complete Pose Determination for Low Altitude Unmanned Aerial Vehicle Using Stereo Vision Luke K. Wang, Shan-Chih Hsieh, Eden C.-W. Hsueh 1 Fei-Bin Hsaio.
International Conference on Sustainable Built Environment NANCO AND UNIVERSITY OF MELBOURNE JOINT RESEARCH SESSION ON NANOTECHNOLOGY AND SUSTAINABLE BUILT.
Feedback Control Systems (FCS) Dr. Imtiaz Hussain URL :
Eng. R. L. NKUMBWA Copperebelt University School of Technology 2010.
Cross strait Quad-reginal radio science and wireless technology conference, Vol. 2, p.p ,2011 Application of fuzzy LS-SVM in dynamic compensation.
Motion Sensor Muhajir Ab. Rahim School of Mechatronic Engineering, KUKUM.
Well Log Data Inversion Using Radial Basis Function Network Kou-Yuan Huang, Li-Sheng Weng Department of Computer Science National Chiao Tung University.
Self-Sensing Active Magnetic Dampers for Vibration Control
Inertial Navigation System Overview – Mechanization Equation
1 A ROM-less DDFS Using A Nonlinear DAC With An Error Compensation Current Array Chua-Chin Wang, Senior Member, IEEE, Chia-Hao Hsu, Student Member, IEEE,
COSMOSMotion Slides.
Computational Structural Engineering Institute Autumn Conference 2002 Oct , 2002 VIBRATION CONTROL OF BRIDGE FOR SERVICEABILITY Jun-Sik Ha 1),
Chih-Min Chao and Yao-Zong Wang Department of Computer Science and Engineering National Taiwan Ocean University, Taiwan IEEE WCNC 2010 A Multiple Rendezvous.
By Chanat Ratanasumawong (CRW) Identification of System’s Dynamic Parameters Engineering Mechanical Laboratory, CRW, Engineering.
Node Reclamation and Replacement for Long-lived Sensor Networks Bin Tong, Wensheng Zhang, and Chuang Wang Department of Computer Science, Iowa State University.
EE 495 Modern Navigation Systems Inertial Sensors Monday, Feb 09 EE 495 Modern Navigation Systems Slide 1 of 19.
Can tilt tests provide correct insight regarding frictional behavior of sandstone under seismic excitation? Can tilt tests provide correct insight regarding.
Longitudinal Motion Characteristics between a Non- Matched Piezoelectric Sensor and Actuator Pair Young-Sup Lee Department of Embedded Systems Engineering,
Hard or Soft ? C. Collette, K. Artoos, S. Janssens, P. Fernandez-Carmona, A. Kuzmin, M. Guinchard, A. Slaathaug, C. Hauviller The research leading to these.
®Copyright by Shun-Feng Su 1 Ordinary Differential Equations Offered by Shun-Feng Su,Shun-Feng Su
Dr. Tamer Samy Gaafar Lec. 3 Mathematical Modeling of Dynamic System.
1 11 Distributed Channel Assignment in Multi-Radio Mesh Networks Bong-Jun Ko, Vishal Misra, Jitendra Padhye and Dan Rubenstein Columbia University.
An Energy Efficient Sleep Scheduling Considering QoS Diversity for IEEE e Wireless Networks Speaker: Wun-Cheng Li IEEE ICC 2010 Jen-Jee Chen, Jia-Ming.
A Load-Balanced Guiding Navigation Protocol in Wireless Sensor Networks Wen-Tsuen Chen Department of Computer Science National Tsing Hua University Po-Yu.
Autonomous Silicon Microrobots
EE 495 Modern Navigation Systems Inertial Sensors Wed, Feb 17 EE 495 Modern Navigation Systems Slide 1 of 18.
1 Advanced Display Optics Lab Syuan Li APL 05 Variable-focus liquid lens by changing aperture Hongwen Ren and Shin-Tson Wu College of Optics and Photonics,
MECHANICAL and AEROSPACE ENGINEERING Active Reconfiguration for Performance Enhancement in Articulated Wheeled Vehicles Aliakbar Alamdari PhD Candidate.
71.2: Gray-Level Redistribution in Field-Sequential-Color LCD Technique for Color-Breakup Reduction 71.2: Gray-Level Redistribution in Field-Sequential-Color.
14ME404 INTRODUCTION TO MEMS DISCIPLINE ELECTIVE-II Thanking everyone for MEMS as an elective subject Dr.J.S.Senthilkumaar, Professor Mechanical Engineering.
MOTION IN ONE DIMENSION
Introduction to Smart Systems
The Clutch Control Strategy of EMCVT in AC Power Generation System
PS Internal Dump - actuation system
Okwuchi Emereole and Malcolm Good, University of Melbourne
Modeling a Novel MEMS Gyroscope
Mathematical Modeling of Control Systems
MEMS TECHNOLOGY Anand John Abraham. S3, EC. 1.
Speed can be calculated by Speed = Distance/Time
STATICS (ENGINEERING MECHANICS-I)
Advisor:Nortren Tsai Speaker:B.Y. Wu
Arduino based Seismic Sensor for Earthquake Detection and Response
Department of Mechanical
MEMS: Basic structures & Current Applications
Danger Prediction by Case-Based Approach on Expressways
gyroscope Prof Varsha Degaonkar Assistant Professor
Piyush Raj, Adarsh G Datta, Vishnu Kumar
Presentation transcript:

Design and Simulation of a MEMS High G Inertial Impact Sensor Y.P. Wang1, R.Q. Hsu1, C.W. Wu2 1Department of Mechanical Engineering, National Chiao Tung University, 1001 Ta-Hsueh Road, 300 Hsinchu, Taiwan Phone: Ext.31934, 2Department of Mechanical and Mechatronic Engineering, National Taiwan Ocean University 2, Pei-Ning Road, Keelung, Taiwan. Speaker: Jing-Wen Shih

Outline Introduction The major goal of Inertial impact sensor The micro impact sensor proposed in this study Simulation Conclusion Reference

Introduction Inertial sensors have been extensively utilized in science like inertial navigation systems and airbag triggers. For high G(>300G) applications. Reaction times for conventional mechanical type impact sensors are not fast enough.

The major goal of inertial impact sensor Designing an impact sensor that has a faster reaction time than conventional sensors and a mechanism that is sufficiently robust to survive the impact when a vehicle collides with a hard target is the major goal of this study.

Conventional inertial impact sensor (a)cantilever beam type (b)axial spring type

MDS System trigger MDS: Mass- Damper- Spring Dynamic

Proof mass expressed by dynamic equation lamped system:

Use Laplace transformation to the second – order function for acceleration mass:

The micro impact sensor proposed in this study

To evaluate system reaction time, 4 different arrangements of spring and proof mass were tested.

The proof mass scale and coil number of the sensor

Simulation Displacement versus applied forces for each sensor

The response time of the micro- sensor

Proof mass increases from 0.62 to 1.0, and the spring constant remains unchanged, the reaction time is decreased.

Minimum G values for the sensors to be triggered

Reducing the spring constant, and retaining the proof mass, the reaction time decreased and the trigger G value decreased for sensors

Minimum G values for the sensors to be triggered

The plastic strain of the type 1 sensor in 21000G With no significant interference in the x and z axis; consequently,sensor stability is very good.

Conclusion This proposed impact sensor is intended for use at 8,000–21,000G. Four different designs were analyzed. The impact sensors were sufficiently robust to survive the impact of at least 21,000G, four times higher than that of conventional inertial impact sensors.

References F. Goodeough, Airbag boom when IC accelerometer sees 50 G,Electronics Design, pp.45-56, August. 8, Tadao Matsunaga, Masayoshi Esashi, Acceleration switch with extended holding time using squeeze film effect for side airbag systems, Sensors and Actuators A : physical, vol. 100, Issue 1, pp.10-17, August Military Standard, Mechanical Shock Test, MIL-STD-883E Method , US Dept. of Defense, Donald R. Ask eland, The science and engineering of materials, 1st edn,Taipei, Kai Fa, 1985, ch. 6, pp Trimmer, W.S.N, Microrobots and Micromechanical Systems, Sensors and Actuators vol.19 no.3, pp , M. Elwenspoek, R. Wiegerink, Mechanical Microsensors, Germany,Springer, Tai-Ran Hsu, MEMS & Microsystems Design and Manufacture,international edition 2002, Singapore, McGraw-Hill, pp

Thanks for your attention