Title page for etd-0708119-160828


URN etd-0708119-160828 Statistics This thesis had been viewed 197 times. Download 0 times.
Author Min-Chieh Hsu
Author's Email Address No Public.
Department Institute Of Mechanical Engineering
Year 2018 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 75
Title Fully Parameterized Models and Optimal Design of Vehicle B rake Rotors
Keyword
  • brake rotor
  • optimum design
  • fully parameterized model
  • finite element analysis
  • Excel VBA.
  • Excel VBA.
  • finite element analysis
  • fully parameterized model
  • optimum design
  • brake rotor
  • Abstract This thesis investigates two types of automotive brake rotors, using ANSYS APDL codes to build fully parameterized models of the rotors and to perform modal analysis and optimizations achieving a completely automatic process from model building to optimum design. The codes, also integrated with an Excel VBA based interface, is named BROS. Users simply enter values and select functions needed through the interactive interface and the rest fro m model building to optimum design is done automatically.
    BROS creates fully parameterized models of the rotors based on positional and functional relations of every key point of the models. Further, to facilitate automation, the program can accurately identify specific modes and generate a mode separation table in a 2 D array, in which the mode separation frequencies can be defined as the design variables and then realize mode separation optimization can be realized.
    BROS presented in this research is the first version and it is expected to be upgraded in the future. This commencing edition has accomplished three goals: 1. Creating fully parameterized models; 2. Automatic identification of specific modes; 3. User selection of design variables when needed. Repeated tests and verifications have been performed to ensure the integrity of the software and it has been proven a very helpful tool for brake rotors design and research.
    Advisor Committee
  • Kun-Nan Chen - advisor
  • none - co-chair
  • none - co-chair
  • Files indicate in-campus access at 5 years and off-campus access at 5 years
    Date of Defense 2019-06-11 Date of Submission 2019-07-09

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