Plasticity forming technique regulation obtaining method based on simulation and fuzzy coarse central algorithm

Abstract

The present invention relates to a method for obtaining plastic forming process rule based on simulation and fuzzy rough set algorithm. Said method includes the following steps: firstly, creating numerical simulation model, selecting conditional attribute set from process condition parameters, defining decision attribute set for evaluating forming property, then making numerical simulation test design, utilizing simulation test to obtain plastic forming process information source, making numerical simulation result data undergo the process of fuzzy discretization pretreatment to form fuzzy decision table, and finally utilizing rough set theory and adopting a series of steps of classification, calculation and rule description, etc so as to obtain the invented new process rule.

Description

Technical field [0001] The invention relates to a method for obtaining plastic forming process rules based on numerical simulation and fuzzy-rough set (Fuzzy Rough Set) algorithm, which is used for mining potential process rules from plastic forming numerical simulation results, and belongs to the technical field of knowledge engineering of plastic processing . Background technique [0002] Process rules are very important to guide the process design of plastic processing, and are the basis for establishing a plastic processing expert system or other intelligent plastic forming process design systems. At present, the plastic forming process rules are mainly obtained through the existing process design manuals and the inheritance of domain experts. However, the original process design manual cannot adapt to the ever-changing product structure update; inheriting the experience of domain experts requires good cooperation and hard work of knowledge engineers and domain experts, and t...

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Problems solved by technology

[0003] The purpose of the present invention is to propose a new plastic forming process rule acquisition based on numerical simulation and fuzzy-rough set algorithm in view of the difficulty in obtaining process rules in the field of plastic processing and the lack of development and utilization of the result data generated by plastic forming simulation. method, mining a large amount of potential process knowledge contained in the numerical simulation result data, obtaining explicit rules that are easy to be expressed and stored by the computer, shortening the establishment cycle of the process rule base, improving the quality of the rule base, and providing an in-depth directional explanation for the simulation results Provides an effective way to elevate numerical simulation from the design verification level to the design-driven level

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