Omnibearing multi-angle optimization method based on deformation prediction

An optimization method and all-round technology, applied in the field of blade deformation optimization, can solve the problems of lack of research, complex process, lengthy calculation time, etc., and achieve the effect of improving processing efficiency, shortening processing time, and optimizing algorithm.

Pending Publication Date: 2022-08-09
HUBEI UNIV OF EDUCATION
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods are time-consuming and complicated, and do not consider the influence of materials on the machining pr

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Omnibearing multi-angle optimization method based on deformation prediction
  • Omnibearing multi-angle optimization method based on deformation prediction
  • Omnibearing multi-angle optimization method based on deformation prediction

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0038] In order to have a clearer understanding of the technical characteristics, purposes and effects of the invention, the specific implementation of the invention is now explained in detail.

[0039] The invention provides a comprehensive multi -angle optimization method based on deformation prediction, facing the surface of the surface of the curved surface, mainly includes the following steps:

[0040] S1: Considering the material removal and milling and elastic deformation coupling effects, the leaf milling finite element simulation model is established to predict the curved surface shape;

[0041] S2: In order to reduce the curved surface shape predicted in step S1, a thin-walled blade based on GA-SVR is used as a design variable with a supporting support layout and milling cutting parameters. Evaluation indicators; use "unit life and death" technology, Latin super cubic test design, and blade milling finite element simulation model to calculate the advantages and disadvant...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides an omni-directional multi-angle optimization method based on deformation prediction, and the method comprises the steps: building a blade milling finite element simulation model to predict the curved surface deformation when facing a curved surface thin-wall working condition, and taking an auxiliary support layout and milling cutting parameters as design variables based on a GA-SVR thin-wall blade to reduce the curved surface deformation. The maximum machining elastic deformation and the overall elastic deformation mean square error serve as the quality evaluation indexes of the auxiliary support layout; calculating quality evaluation indexes of the auxiliary support layout and generating a sample set, training the sample set to obtain an agent model of the evaluation indexes, predicting the maximum processing elastic deformation and the overall elastic deformation mean square error of the actual thin-wall blade under the auxiliary support layout through the agent model, and optimizing the process parameters to obtain the optimal processing elastic deformation of the thin-wall blade under the auxiliary support layout. And the elastic deformation is reduced in an iterative compensation mode. The method has the beneficial effects that the algorithm is optimized, the machining time is shortened, and the machining efficiency and the machining precision of the blade are improved.

Description

Technical field [0001] The invention involves the field of leaf -shaped optimization in the condition of curved thin walls, especially a comprehensive multi -angle optimization method based on deformation prediction. Background technique [0002] As an important part of the impeller of various mechanical equipment, the processing quality and processing accuracy of the leaves directly affect the overall performance and service life of the equipment. The electronic digital signal control milling is used as a high -precision, high -efficiency processing method. The precision forming of the leaves. However, as a typical complex curved thin -gun device, the blades are easily affected by the cutting force during milling and processing. This causes the actual cutting position of the tool during the milling process to deviate from the theoretical cutting position, which causes the processing accuracy of the leaves to not meet the standard, which affects the service performance of the equ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F30/17G06F30/23G06F30/27G06F111/06G06F111/10G06F119/14
CPCG06F30/17G06F30/23G06F30/27G06F2111/10G06F2111/06G06F2119/14Y02E10/72
Inventor 戴佳伟王海军毛东立张超凡孙振鸣王金玉王舒祥王月丽吴汉钦范颖
Owner HUBEI UNIV OF EDUCATION
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products