Marine diesel engine heavy part manufacturability three-level optimization method based on feature-resource knowledge

Abstract

The invention discloses a marine diesel engine heavy part manufacturability three-level optimization method based on feature-resource knowledge. The method comprises the following steps that 1, machining features of marine diesel engine heavy parts are classified; 2, completing feature recognition based on a surface and rule processing feature recognition algorithm; 3, obtaining size and precisioninformation from the part three-dimensional model, and establishing a machining meta-information model; 4, creating a structural manufacturability rule knowledge base; 5, establishing a processing and manufacturing capability model and a knowledge base; 6, proposing a distributed manufacturing environment optimization method based on a genetic algorithm; and 7, establishing a verification platform, and outputting a three-level manufacturability optimization scheme and an evaluation report. The manufacturability three-level optimization method provided by the invention is progressive layer bylayer, fully considers difficulties in actual processing of marine diesel engine heavy parts, has good practicability and expansibility, and can effectively discover defects existing in design, so that the product development period is shortened, and the cost is saved.

Description

technical field [0001] The invention relates to the field of machinery manufacturing, in particular to a three-level optimization method for the manufacturability of heavy parts of marine diesel engines. Background technique [0002] In the actual production of diesel engine heavy parts, due to the lack of understanding of the constraints of manufacturing resources by designers, it often results in the mismatch between processing indicators and production equipment, wasting time and money. Therefore, it is necessary to predict whether the parts can be processed under the existing manufacturing resources of the factory before actual processing. At the same time, in the face of the complex situation of the distributed manufacturing environment, it is necessary to select the corresponding factories, machine tools and cutting tools to optimize efficiency and economy. However, the existing manufacturability evaluation system for heavy parts of marine diesel engines lacks clear e...

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Problems solved by technology

[0006] Purpose of the invention: Aiming at the deficiencies in the prior art, the present invention provides a feature-resource-based Manufacturability evaluation system for heavy parts of marine diesel engines, which is more comprehensive than previous systems, combines the features of rule-based and planning-based manufacturability evaluation methods, and proposes a distributed manufacturing environment based on genetic algorithms Optimization method to select the optimal processing plan for part processing

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