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Tesi etd-03262014-180407


Thesis type
Tesi di dottorato di ricerca
Author
BUCCHI, FRANCESCO
URN
etd-03262014-180407
Title
Smart materials and vehicle efficiency. Design and experimentation of new devices.
Settore scientifico disciplinare
ING-IND/14
Corso di studi
INGEGNERIA
Commissione
relatore Prof. Forte, Paola
tutor Prof. Frendo, Francesco
Parole chiave
  • MR
  • Magnetorheological fluids
  • Experimentation
  • Design
  • Shape memory alloys
  • SMA
  • Vehicle effciciency
Data inizio appello
03/04/2014;
Consultabilità
completa
Riassunto analitico
In this dissertation the activities carried out during the PhD are comprehensively<br>described. The research mainly focused on the development<br>of novel smart devices aimed at disengaging auxiliaries in internal combustion<br>engine vehicles. In particular, the activities dealt with modeling,<br>design, manufacturing and testing different fail-safe magnetorheological<br>clutch prototypes, in the framework of a project funded by Regione<br>Toscana, which involved two departments of the University of Pisa and<br>Pierburg Pump Technology - Stabilimento di Livorno.<br>After an extended literature review, several concepts of the clutch<br>were proposed, which led to the design of the first magnetorheological<br>prototype. An intensive experimental campaign was conducted, which<br>involved several prototypes. A particular attention was focused on the<br>measurement and analysis of the torque transmitted by the clutch in<br>different operating conditions and new indices were proposed to objectively<br>analyze the performances of magnetorheological clutches in general. On<br>the basis of the results of the first experimental phase, the limits of the<br>first design were analyzed and a novel prototype was developed, which<br>succeeded in fulfilling all the design specifications.<br>Further analyses were carried out in order to develop a clutch model<br>starting from the experimental results. The effect of clutch heating was<br>considered and a complete model of the clutch based on neural networks<br>was proposed. The model was capable of taking into account the effect<br>of the main parameters influencing the torque characteristic and may be<br>used in a vehicle simulator or in a hardware-in-the-loop bench.<br>Finally, an additional component to be connected to the clutch, which<br>made use of shape memory alloys, was developed and tested during the<br>visiting period at the University of Toledo (OH), USA.
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