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 [https://scikit-rf.org/ 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 [https://scikit-rf.org/ scikit-rf] | ||
− | Due to the | + | Due to the intended modularity of the system in software 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. |
===Status: Available === | ===Status: Available === |
Revision as of 09:35, 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 scikit-rf
Due to the intended modularity of the system in software 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.
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