COMSOL Piezoelectric Ultrasonic Transducers (pMUTs) Simulation | MEMS Ultrasonic Transducer Modeling & Analysis
In this video, we demonstrate the finite element simulation of Piezoelectric Micromachined Ultrasonic Transducers (pMUTs) using COMSOL Multiphysics.
The project focuses on piezoelectric coupling, membrane vibration modes, resonance frequency extraction, acoustic pressure profile, and impedance characteristics for ultrasonic sensing and imaging applications.
This COMSOL simulation models multiphysics coupling between solid mechanics, piezoelectric effects, and acoustic pressure fields, enabling optimized design for medical ultrasound, gesture recognition, sonar, fingerprint sensing, and NDT applications.
📦 Project Support
🌐 www.matlabprojectscode.com
📧 matlabprojectscode@gmail.com
📱 WhatsApp: +91 8300015425
🔍 Topics Covered
Introduction to Piezoelectric Micromachined Ultrasonic Transducers (pMUTs)
Geometry modeling of membrane & piezoelectric thin film stack
Piezoelectric materials (AlN, PZT, PVDF) selection & parameters
Frequency domain & eigenfrequency analysis
Membrane displacement & modal shape visualization
Acoustic pressure field and impedance response
Performance optimization: thickness variation, electrode pattern, cavity size
⚙️ Key COMSOL Simulation Outputs
📌 Mode shapes & resonant frequency
📌 Displacement contour plots
📌 Electro-mechanical coupling responses
📌 S-parameters & Impedance curve
📌 Pressure distribution in surrounding medium
🎓 Applications
Medical ultrasound imaging
MEMS-based sensors
Fingerprint scanning pMUT arrays
Gesture & proximity sensing
Underwater acoustic SONAR
Structural health monitoring & NDT
👨💻 Ideal For
MEMS / VLSI / Sensors / Acoustics / Biomedical students
MATLAB / COMSOL / ANSYS researchers
PhD / MTech / BTech IEEE project developers
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Two-Area Load Frequency Control (LFC) using Grey Wolf Fuzzy-PID Controller | MATLAB Simulink Simulation This video presents the modeling and simulation of a Two-Area Power System Load Frequency Control (LFC) using an intelligent hybrid controller — the Grey Wolf Optimization (GWO) tuned Fuzzy-PID Controller implemented in MATLAB/Simulink. The proposed controller improves dynamic performance, frequency stability, and tie-line power oscillation damping compared to conventional PID and Fuzzy controllers. 👨💻 Project Support 🌐 www.matlabprojectscode.com 📧 matlabprojectscode@gmail.com 📱 WhatsApp: +91 8300015425 🔍 Topics Covered Modeling of two-area interconnected thermal power system Governor, turbine, and tie-line power flow representation Fuzzy logic controller for adaptive gain tuning Grey Wolf Optimization (GWO) algorithm for optimal PID parameter selection Simulation of load disturbances and system response Comparison of PID, Fuzzy-PID, and GWO-Fuzzy-PID controllers Performa...
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