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Assembly tolerance optimization method based on quality loss and cost minimization

A tolerance and quality technology, applied in the field of assembly tolerance optimization based on quality loss and cost minimization, can solve problems such as large influence on calculation results, low precision, and unstable calculation results, so as to optimize economic benefits and improve design accuracy , the effect of stable calculation results

Inactive Publication Date: 2017-07-18
SHANGHAI UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

Among them, genetic algorithm and particle swarm optimization algorithm are widely used, but they also have defects such as low precision and algorithm parameters have a great influence on the calculation results. Therefore, the calculation results are not stable.

Method used

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  • Assembly tolerance optimization method based on quality loss and cost minimization
  • Assembly tolerance optimization method based on quality loss and cost minimization
  • Assembly tolerance optimization method based on quality loss and cost minimization

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Experimental program
Comparison scheme
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Embodiment Construction

[0038] Depend on figure 1 You can see the entire algorithm flow.

[0039] Step 1: Establish the total cost model of the tolerance, which is formed by superimposing the cost model of each process in the processing process. The exponent expression of the cost of a process is shown in formula (1), and the exponent of the cost function of the assembly chain The expression is shown in formula (2).

[0040] A(t)=qe -wt (1)

[0041]

[0042] In the formula: A(t) is the processing cost of a certain process, q is the constant coefficient of control cost and tolerance, w is the constant coefficient of defining cost and tolerance, A′(t) is the processing cost of the general assembly, λ is the cost of each component ring Weight coefficient, i is the serial number of the constituent rings, and n is the total number of constituent rings.

[0043] Step 2 establishes the objective function of the mass loss model, using Taguchi Genichi’s mass loss model, the expression is shown in (3),...

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Abstract

The invention relates to an assembly tolerance optimization method based on quality loss and cost minimization. The method mainly comprises the following steps: establishing a mathematical model of quality loss and processing cost; adding actual processing capability constraints; performing parameter initialization on a multi-objective teaching and learning algorithm; performing iteration in a teaching phase on an initial solution of the algorithm; adopting a hill-climbing search strategy to further develop the solution; performing Pareto ranking on a population; further studying the solution, and further increasing the accuracy of the solution; and completing the iterative process and finding the optimal solution. The assembly tolerance optimization method based on the quality loss and cost minimization provided by the invention is based on the computer technology, and combines the swarm intelligent optimization algorithm in the field of artificial intelligence, which further improves the calculation efficiency and calculation accuracy of assembly tolerance design, and aims to satisfy the design accuracy under precision manufacturing, improve the production efficiency, and improve the parts quality, so as to further reduce the production cost.

Description

technical field [0001] The invention relates to an optimization method of assembly tolerance of mechanical parts, in particular to an assembly tolerance optimization method based on quality loss and cost minimization. Background technique [0002] Tolerance is a very important basic concept and design parameter of mechanical products, because there are many uncertain factors in the process of parts from blank to processing, such as processing errors, assembly errors, etc. Therefore, tolerance allocation is a very important technical link in the design process of mechanical products. In the traditional analysis process, the tolerance is allocated according to the functional requirements of the product, using design experience combined with national or enterprise standards, such as equal precision method and equal tolerance method. Moreover, there are tolerance allocation methods such as extreme value method to guide the design process of tolerance, but these methods generall...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/17G06F30/20
Inventor 杨洋李明韦庆玥
Owner SHANGHAI UNIV
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