Title page for etd-0810109-120204


URN etd-0810109-120204 Statistics This thesis had been viewed 719 times. Download 6 times.
Author Cheng-Chin Chu
Author's Email Address No Public.
Department Institute of Mechatronic Engineering
Year 2008 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 108
Title Response Surface Analysis and Shape Optimization of Load Cells Used in Electronic Scales
Keyword
  • Response surface methodology
  • Finite element analysis
  • Load cell
  • Optimum shape design
  • Power transformation
  • Power transformation
  • Optimum shape design
  • Load cell
  • Finite element analysis
  • Response surface methodology
  • Abstract Abstract
    Load cells are a crucial component used in electronic weighing scales. This research investigated the optimum shape design of load cells. The finite element method and the response surface methodology with the help of power transformation were utilized to study the stress and strain of load cells when they were in operation. The ANSYS and MATLAB software packages were employed to perform the necessary structural analysis and shape design optimization. A parametric finite element model for a typical load cell was first created, the response surface model built according to the design of experiments, and then optimization performed on the model to yield optimum shape design for the load cell.
    In this study, load cells with four different groove widths were examined to maximize their strain response, and hence their sensitivity. Response surface models with and without power transformation for both strain and stress responses were compared. The results showed that for a load cell with a groove width of 4 mm, the coefficient of multiple determination of the response surface model has improved from 0.4371 (without transformation) to 0.8952 (with transformation). Similar results were observed for the rest of the cases investigated.
    Advisor Committee
  • Kun-Nan Chen - advisor
  • Files indicate in-campus access at 5 years and off-campus access at 5 years
    Date of Defense 2009-07-29 Date of Submission 2009-08-11

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