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Difference between revisions of "Development Of A Test Bed For Ultrasonic Transducer Characterization (1 S/B)"

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(Short Description)
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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.
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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.
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.
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A virtual environment models the behavior of these networks. Individual network blocks are built and cascaded as single blackbox models using Python scikit-rf.  
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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 ===
 
===Status: Available ===

Revision as of 09:29, 7 February 2023

Transducer testbed.jpg



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 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

Luca Benini

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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


Links

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