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Tolerance optimization allocation method based on tolerance grade and genetic algorithm

A technology of tolerance level and genetic algorithm, which is applied in the field of computer-aided tolerance design, can solve the problems of high processing cost of tolerance distribution results, tolerance values ​​that are not standard tolerance values, etc.

Active Publication Date: 2014-12-03
BEIHANG UNIV
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Problems solved by technology

[0005] 1. Purpose: The purpose of the present invention is to provide a tolerance optimization allocation method based on tolerance grades and genetic algorithms, which overcomes the deficiencies in the prior art, and solves the high processing cost of existing tolerance allocation results and the tolerance value of allocation is not Standard tolerance value and other issues

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  • Tolerance optimization allocation method based on tolerance grade and genetic algorithm
  • Tolerance optimization allocation method based on tolerance grade and genetic algorithm
  • Tolerance optimization allocation method based on tolerance grade and genetic algorithm

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Embodiment Construction

[0055] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0056] See figure 1 , the present invention is based on a tolerance class and a genetic algorithm tolerance optimization allocation method, the specific steps of the method are as follows:

[0057] Step 1: Establish a mathematical model for tolerance optimization;

[0058] Tolerance optimization is to reasonably allocate the tolerances involved in the error accumulation path under the premise of meeting the assembly function requirements, so that the sum of the processing costs of each tolerance is the lowest. Therefore, the mathematical model of tolerance optimization is:

[0059] Objective function: min [ Σ i = 1 n C i ( t i ...

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Abstract

The invention discloses a tolerance optimization allocation method based on a tolerance grade and a genetic algorithm, comprising the following steps: (1) creating a tolerance optimization mathematical model; (2) creating a standard tolerance database; (3) encoding based on the tolerance grade; (4) determining an adaptability function of the genetic algorithm; (5) setting a genetic operator; (6) performing genetic evolution; and (7) decoding to obtain a corresponding tolerance grade and inquiring a corresponding tolerance value. The method disclosed by the invention realizes the tolerance optimization allocation in the product design by using a computer, thereby replacing the manual distribution, improving the efficiency and saving the time; meanwhile, the method performs the optimization allocation through the genetic algorithm, serves the minimum processing cost as an optimization target and reduces the processing cost of products. Therefore, the method has good practical value and extensive application prospect in the technical field of computer aided tolerance design.

Description

technical field [0001] The invention relates to a tolerance optimization distribution method based on tolerance grades and genetic algorithms, which is mainly used in product design to use modern intelligent optimization algorithms to distribute tolerances of parts, and belongs to the technical field of computer-aided tolerance design. Background technique [0002] Commonly used tolerance distribution methods include equal tolerance method, equal precision method and tolerance distribution based on genetic algorithm, but because the equal tolerance method and the equal precision method do not consider the problem of tolerance processing cost and do not achieve the purpose of optimization, the present invention is based on genetic algorithm. Algorithm for tolerance optimization allocation. [0003] In the traditional optimization of tolerance allocation using genetic algorithm, the tolerance value of each tolerance ring is encoded. The higher the requirement, the longer the ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50G06F17/30G06N3/02
Inventor 赵罡张志华孙占磊韩鹏飞
Owner BEIHANG UNIV
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