Difference between revisions of "Development Of A Test Bed For Ultrasonic Transducer Characterization (1 S/B)"
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| − | '''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 blackbox models using Python scikit-rf. | + | '''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 blackbox models using Python [[Link: https://scikit-rf.org/ scikit-rf]]. |
Due to the desired modularity of the system in soft- and hardware, a high flexibility of the setup to be adaptatable for different transducer types and setups can be guaranteed. | Due to the desired modularity of the system in soft- and hardware, a high flexibility of the setup to be adaptatable for different transducer types and setups can be guaranteed. | ||
Revision as of 09:31, 7 February 2023
Contents
Short Description
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 blackbox models using Python Link: https://scikit-rf.org/ scikit-rf.
Due to the desired modularity of the system in soft- and hardware, a high flexibility of the setup to be adaptatable for different transducer types and setups can be guaranteed.
Status: Available
- Looking for 1 Semester/Bachelor students
- Contact: Christoph Leitner, Federico Villani
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
Professor
Detailed Task Description
The goal of this work is to develop a modular system for characterizing ultrasonic transducers both in hardware and software. The physical test bench will combine a vector network analyzer, a dedicated amplifier stage, and a matching network as well as the actual transducer (device under test).
Goals
Practical Details
