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Tolerance fit automatic selection method based on ontology

A technology of tolerance matching and automatic selection, applied in the field of computer-aided tolerance design and mechanical design, it can solve the problem of difficult tolerance information, and achieve the effect of clear hierarchical relationship, scalability and portability.

Pending Publication Date: 2022-03-29
GUILIN UNIV OF ELECTRONIC TECH
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current typical selection methods of tolerances and fits include calculation method, experiment method, and analogy method. These methods still have certain limitations in the intelligent selection of tolerances and fits, mainly because the tolerance information used in the selection process is difficult to be analyzed by the computer. real understanding

Method used

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  • Tolerance fit automatic selection method based on ontology
  • Tolerance fit automatic selection method based on ontology
  • Tolerance fit automatic selection method based on ontology

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Embodiment Construction

[0027] The following is a brief description taking the hole-shaft fit of a certain mechanism as an example. image 3 shown. It is known that the nominal size of the guide rod and the bushing is 17mm, and the fit is required to be a clearance fit, and the clearance is between +0.002mm~+0.032mm, and then the tolerance and fit are determined. Specific steps are as follows:

[0028] Step A: Construct the tolerance fit intelligent selection ontology, first define the relationship between classes. According to the representation model, the term of the unary relationship is defined as a class, and the specific tolerance and fit are automatically selected and the representation model is: HasFitType (fit type of hole shaft fit), hasFundamentalDeviationSeries (with basic deviation series), hasPriority (with priority), hasStandardToleranceGrade (with Standard tolerance level), hasFitClearanceAmount (with the amount of fit clearance), Priority_of_HoleToleranceZone (the priority of the h...

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Abstract

The invention belongs to the technical field of computer aided tolerance design (CAT), and particularly relates to a tolerance fit automatic selection method based on an ontology. The method specifically comprises the following steps: (1) constructing a tolerance fit automatic selection ontology; (2) establishing a tolerance fit selection SWRL inference rule; (3) extracting related tolerance information of hole-shaft matching; (4) constructing an instantiated ontology model; and (5) combining a Jess inference engine with an SWRL rule, and performing inference selection and adjustment on tolerance and cooperation. Constructing an ontology reasoning knowledge framework for tolerance fit domain knowledge by using the ontology, and reasoning implicit knowledge according to dominant domain knowledge; and in combination with a semantic network rule language rule base, reasoning the optimal tolerance and cooperation according to the specific design and constraint conditions of the geometric product. According to the method, a consistency knowledge description framework of tolerance and fit selection can be provided, so that a computer can automatically select proper tolerance fit according to geometric product tolerance information, and a quick and effective method is provided for intelligent selection of product design tolerance fit.

Description

technical field [0001] The invention relates to the field of mechanical design and the technical field of computer-aided tolerance design (CAT), in particular to an automatic selection method for tolerance matching based on a body. Background technique [0002] The selection of tolerance and fit is the process of determining the tolerance zone of the hole and shaft of the matched parts according to the nominal size of the known hole and shaft and the size of the fit limit clearance or limit interference. The current typical selection methods of tolerances and fits include calculation method, experiment method, and analogy method. These methods still have certain limitations in the intelligent selection of tolerances and fits, mainly because the tolerance information used in the selection process is difficult to be analyzed by the computer. real understanding. The representation and access of database and the automatic generation of tolerance zone in tolerance and fit are th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/17G06F30/27G06N5/02
CPCG06F30/17G06F30/27G06N5/025
Inventor 黄美发李健罗民宏梁健伟郑楠
Owner GUILIN UNIV OF ELECTRONIC TECH
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