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Development Of A Test Bed For Ultrasonic Transducer Characterization (1 S/B)
The main goal of this work is to develop a modular system for the characterization and tuning of ultrasonic transducers both in hard- and software
Due to the intended modularity of the system in soft- and hardware, we can guarantee a high flexibility of the setup. This means that the system can be adapted in operation for a wide variety of transducer types and setups.
Keywords: Ultrasound, Flexible transducers, Mixed signal design, Network theory, Simulation
Evaluation and tuning of ultrasonic transducer performances can be realized with the help of a test bench. This setup consists of a physical test bed with the transducer and associated components such as a vector network analyzer, amplifiers and electrical matching networks. A virtual environment models the behavior of these networks. Individual network blocks are built and cascaded as single black box model using Python scikit-rf
Due to the intended modularity of the system in soft- and hardware, we can guarantee high flexibility of the setup. This means that the system can be adapted to operate for a wide variety of transducer types and setups.
**Status:** Available
Looking for 1 Semester/Bachelor students
**Prerequisites:**
- Analog Mixed Signal Design
- Network Theory (helpful but not required)
- Python (packages: numpy, scipy, scikit-rf)
- PCB Design
**Character:**
- 20% Literature research
- 40% Programming
- 30% PCB design
- 10% Testing
Evaluation and tuning of ultrasonic transducer performances can be realized with the help of a test bench. This setup consists of a physical test bed with the transducer and associated components such as a vector network analyzer, amplifiers and electrical matching networks. A virtual environment models the behavior of these networks. Individual network blocks are built and cascaded as single black box model using Python scikit-rf
Due to the intended modularity of the system in soft- and hardware, we can guarantee high flexibility of the setup. This means that the system can be adapted to operate for a wide variety of transducer types and setups.
**Status:** Available
Looking for 1 Semester/Bachelor students
**Prerequisites:** - Analog Mixed Signal Design - Network Theory (helpful but not required) - Python (packages: numpy, scipy, scikit-rf) - PCB Design
**Character:** - 20% Literature research - 40% Programming - 30% PCB design - 10% Testing
**Hardware**
- Development of a customized PCB design for the connection of a vector network analyzer (VNA), bidirectional coupler(s), amplifier(s), matching network(s), and the device under test (transducer)
- Characterization of the network blocks using a VNA (Frequency and Power Analyses)
**Software**
- Implementation of a modular design in software: Network blocks + building a cascaded network
- Simulation and test
**Hardware** - Development of a customized PCB design for the connection of a vector network analyzer (VNA), bidirectional coupler(s), amplifier(s), matching network(s), and the device under test (transducer) - Characterization of the network blocks using a VNA (Frequency and Power Analyses)
**Software** - Implementation of a modular design in software: Network blocks + building a cascaded network - Simulation and test
Federico Villani (villanif@ethz.ch)
Dr. Christoph Leitner (christoph.leitner@iis.ee.ethz.ch)
Federico Villani (villanif@ethz.ch) Dr. Christoph Leitner (christoph.leitner@iis.ee.ethz.ch)