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Computing method for two-dimensional multistation assembly success rate

A technology of assembly success rate and calculation method, applied in calculation, special data processing applications, instruments, etc., can solve problems such as dimensional deviation transmission and accumulation complexity, dimensional chain difficulty, etc.

Inactive Publication Date: 2012-06-13
HUNAN UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The transmission and accumulation of dimensional deviations in the 2D multi-station assembly process is quite complicated, and it is very difficult to find the dimensional chain of the 2D multi-station assembly process. It is not advisable to calculate the assembly success rate based on the dimensional chain

Method used

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  • Computing method for two-dimensional multistation assembly success rate
  • Computing method for two-dimensional multistation assembly success rate
  • Computing method for two-dimensional multistation assembly success rate

Examples

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Embodiment 1

[0069] Taking the body floor assembly assembly of an automobile company as an example, according to the attached Figure 4 As shown, part 1 is the rear floor, part 2 is the middle floor, and part 3 is the front floor. , , It is a four-way positioning pin. , , It is a two-way positioning pin. , , , for the measuring point. The whole assembly process is divided into three stations, and the positioning layout of each station is distributed as follows:

[0070] Station Ⅰ: {{ }, { }}

[0071] Station II: {{ }, { }}

[0072] Station III: {{ }}

[0073] The nominal coordinate values ​​of each positioning pin and measuring point are shown in Tables 1 and 2.

[0074] (1) Establish the positioning deviation model caused by the tolerance of the positioning pin of the fixture and the tolerance of the part hole (slot)

[0075] combined with figure 2 , 3 , 4 and formulas (1)-(4). make , =0, =-1. Then the positioning deviation model is:

[0076] ...

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Abstract

The invention discloses a computing method for a two-dimensional multistation assembly success rate; the computing method comprises the following steps of: (1) establishing a positioning deviation model caused by the tolerance of locating pins of a clamp and the tolerance of component holes; (2) uniformly sampling the tolerance of the locating pins and the tolerance of the component holes by adopting a number theory grid method, obtaining appropriate sample spaces of the tolerances, introducing the appropriate sample spaces into the positioning deviation model, and obtaining a positioning deviation sample space; (3) calculating to obtain a deviation transmission matrix according to a deviation stream state space model, using a positioning deviation as an input deviation of the state space model, and calculating to obtain an output deviation of a measuring point; and (4) comparing a computing result and an allowable deviation of the measuring point, counting a qualified sample number, then dividing a total sample number by the qualified sample number, and calculating to obtain the two-dimensional multistation assembly success rate. The invention provides the computing method for the two-dimensional multistation assembly success rate, which is oriented to two-dimensional multistation assembly based on the deviation stream state space model, thereby providing a new method for forecasting the two-dimensional multistation assembly success rate.

Description

technical field [0001] The invention relates to the technical field of mechanical manufacturing, in particular to a method for calculating the success rate of two-dimensional multi-station assembly. Background technique [0002] Assembly is the last link in the product manufacturing process, an important part of the product life cycle, and the main link to realize product functions. Relevant studies have shown that about one-third of the manpower in the product production process is engaged in activities related to product assembly, and assembly costs account for 40% to 50% of the entire product manufacturing cost. Due to the large amount of labor and high cost involved in the assembly process, the economic benefits brought about by improving the success rate of assembly will be very significant. In recent years, with the rapid development of computer technology, the use of computer to design the dimensional tolerance of mechanical products based on the success rate of asse...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 文泽军朱正强刘德顺杨书仪赵延明蔡春波
Owner HUNAN UNIV OF SCI & TECH