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Intelligence Computing Method for Evaluating Flatness Errors of Big Plane

Author: WangShiLi
Tutor: LiuGuiXiongï¼›ZhangYong
School: South China University of Technology
Course: Mechanical Engineering
Keywords: Genetic Algorithms The method of least squares The flatness of the large-size Uncertainty
CLC: TG83
Type: Master's thesis
Year: 2010
Downloads: 74
Quote: 0
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Abstract


The flatness of the large size as the basic geometric elements of large equipment, equipment process is frequently assessed at the same time it is the benchmark of other geometric elements. Flatness assessment will result in inaccurate Geometrical product measurement inaccuracy, which can seriously affect the function and life of the equipment, even equipment scrapped. Therefore, the flatness of the large-size rating has important research value. Thesis title \The paper flatness approximation method, the minimum area search and research status of the convex hull theory analysis identified this study will use an intelligent algorithm - genetic algorithms to calculate the large size of flatness error assessed large build intelligent algorithm size flatness mathematical model, expect to be able to improve the calculation accuracy and reduce the computation time, in order to further improve the applicability of the error evaluation system behavior. Its main tasks are: (i) for the ISO international standard definition of flatness, derived mathematical calculation model of flatness. Minimum zone method based on Genetic Algorithms and flatness, the tectonic individual variables and constraints, design the fitness function and the crossover and mutation methods. (Ii) based on intelligent assessment of the uncertainty of the new generation of GPS theory, design flatness uncertainty analysis method. Analysis of intelligent assessment of sources of uncertainty for the measurement points, measuring the probability of crossover and mutation, and the number of iterations in a distributed manner, the genetic algorithm. In addition, the use of the residual error checking method to determine the system error, Gro Booth determine the gross error, and the t-distribution method Limit error. (Iii) preparation of large-size flat-calculation program in MATLAB development environment, while the design of the visual flatness evaluation platform, capable of manually and automatically load the measuring point Coordinate data, and calculate its flatness. At the same time, the number of iterations of the calculation accuracy and calculation time, and according to the comparison test to determine the number of iterations of the algorithm. Thesis experiment using a coordinate measuring machine and digital level meter measurements of large flat-panel access to the surface of the measuring point data, then the least squares method, diagonal method and genetic algorithm to calculate the flatness, the results show that the genetic algorithm-based intelligent assessment more accurate . It also shows that the intelligent evaluation method can be measured with the CMM level measured, to verify the feasibility of the papers in the industrial measurement.

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CLC: > Industrial Technology > Metallurgy and Metal Craft > Tolerance techniques to measure and mechanical measuring instruments > Shaped deviation measurement meter
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