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Tesi etd-09232024-190222


Tipo di tesi
Tesi di dottorato di ricerca
Autore
GHARIBI, ARMIN
URN
etd-09232024-190222
Titolo
DESIGN, PRODUCTION AND APPLICATION OF RF SENSORS AND PASSIVE TAGS FOR ROBOT MANIPULATION AND INDUSTRIAL APPROACHES USING ADDITIVE MANUFACTURING TECHNOLOGY
Settore scientifico disciplinare
ING-INF/07
Corso di studi
SMART INDUSTRY
Relatori
tutor Genovesi, Simone
Parole chiave
  • chipless tags
  • Electro magnetic sensor sensor
  • Passive tags
  • RFID
  • Robot grasping
Data inizio appello
01/10/2024
Consultabilità
Non consultabile
Data di rilascio
01/10/2027
Riassunto
THIS research presents an innovative category of radio frequency (RF) sensors
and passive tags tailored for applications in robotics, industrial settings, and
anti-counterfeiting solutions. Additive manufacturing technology serves as the
primary production method for sensor probes, resonators, chipless 3D tags, and the
testing platform. In the initial chapter, a novel RF sensor is designed and tested to
assist a robotic hand in achieving fine, planar, and angular alignment with a plastic
object. Additionally, the sensor aids the robotic hand in determining its location on a
work surface, demonstrating commendable accuracy in both tasks.
The second chapter involves the comparison between 3D printed versions of the
probes and traditional copper antennas, exploring their potential as flexible wearable
sensors. The characterization of the ink and foam materials used in the application
contributes to enhancing simulation accuracy, making the design process more effective.
This approach proves to be advantageous for economical and rapid prototyping of
sensors.
In the third chapter, a series of 3D-printed chipless RFID tags is introduced to serve
as anti-counterfeiting solutions. Various tag designs highlight distinct specifications,
showcasing the versatility of this technology.
The final chapter introduces a radio frequency rotation speed measurement as an example
of this sensor’s application in an industrial setting. This research exemplifies the
potential of additive manufacturing for producing cost-effective and efficient sensors
for diverse applications.
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