Difference between revisions of "Development Of A Test Bed For Ultrasonic Transducer Characterization (1 S/B)"
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==Short Description== | ==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 bench with the transducer and associated components such as a vector network analyzer, amplifiers and electrical matching networks, as well as a virtual test bed that models the behavior of the network using simulation software. | Evaluation and tuning of ultrasonic transducer performances can be realized with the help of a test bench. This setup consists of a physical test bench with the transducer and associated components such as a vector network analyzer, amplifiers and electrical matching networks, as well as a virtual test bed that models the behavior of the network using simulation software. | ||
| + | In software these blocks are built and cascaded as single blackbox components with python scikit-rf. Due to the desired modularity in software and hardware, a high flexibility of the setup for the adaptation of different transducer types and setups can be guaranteed. | ||
===Status: Available === | ===Status: Available === | ||
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==Detailed Task Description== | ==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=== | ===Goals=== | ||
Revision as of 09:24, 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 bench with the transducer and associated components such as a vector network analyzer, amplifiers and electrical matching networks, as well as a virtual test bed that models the behavior of the network using simulation software. In software these blocks are built and cascaded as single blackbox components with python scikit-rf. Due to the desired modularity in software and hardware, a high flexibility of the setup for the adaptation of 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
