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Performance Analysis and Geometry Optimization of Metal Belt Based CVT

Bakhshi Khaniki, Hossein | 2014

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 45943 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Zohoor, Hassan; Sohrabpour, Saeed
  7. Abstract:
  8. One of the main concerns of automakers over last few decades was reducing fuel consumption while increasing the efficiency of vehicle. Using Continously variable transmission in vehicles could lead to reaching better performance, improving fuel consumption, reducing emissions and increasing vehicle acceleration. In this thesis types of Continously variable transmissions are introduced with focusing on steel V-belt CVT by analyzing its performance in steady and transient conditions. Unlike flat belts, V-belts moves both radial and tangential over the driver and driven pulleys resulting more complex dynamic.The dynamics of these systems in transient conditions are analyzed in two different cases when the bands of the belt cannot slip on the elements of the belts and when the slip occurs between them. In analyzing this type of CVT input angular velocity was assumed to be constant also for steady stade mode the equation of motions were obtained. The results of this section was validated by comparing with Srivastava and Van Der Meulen dynamic models. Then the standard continuously variable transmission, introduced by BOSCH Model P811 was used to compute the effects of changing the geometric parameters on the efficiency and torque capacity.Then Optimizing the system using Particle swarm optimization (PSO) algorithm with efficiently target and once again with the torque transmission capacity target was done and it was shown that the optimal points are interfering with each other. Therefore by using Multi Objective Particle Swarm Optimisation (MOPSO) having the same objective functions Optimizing was performed and the results obtained
  9. Keywords:
  10. Geometric Programming ; Multiobjective Optimization ; Particles Swarm Optimization (PSO) ; Continously Variable Transmission System

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