Global simulation performance predication method based on data digging

A technology of performance prediction and data mining, which is applied in the field of CAE, can solve the problems of reducing the generalization performance of prediction models, irrelevant mining tasks, and difficult modeling, so as to improve product design efficiency, improve design efficiency, and reduce the number of simulations.

Inactive Publication Date: 2016-08-24
ZHEJIANG UNIV
View PDF2 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] (2) Interrelated coupling and influence of different design parameters
Complex products have many, even hundreds of design parameters, many of which may be irrelevant to the mining task, or redundan

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
  • Global simulation performance predication method based on data digging
  • Global simulation performance predication method based on data digging
  • Global simulation performance predication method based on data digging

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0045] For the historical model document database, relevant design parameters and performance parameters of interest are extracted in advance, and stored in the database as the original simulation data set for subsequent simulation data mining. First, the original data set is preprocessed to convert it into a fixed format that can be processed by the data mining algorithm. The preprocessing mainly includes two parts: (1) The construction of global performance evaluation indicators based on the intermediate grid model, and the establishment of the mapping and interpolation relationship between the intermediate grid model and all original simulation grid models based on cross-parameterization to realize the simulation results of the two , And then obtain a unified global performance evaluation index. (2) Attribute selection of design parameters, through single parameter selection based on correlation analysis and combined parameter selection methods based on partial correlation a...

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 discloses a global simulation performance predication method based on data digging. The method includes the steps that1, in a historical model file database, concerned design parameters and performance parameters are extracted to serve as an original simulation data set; 2, the original simulation data set is pretreated and converted into a fixed format capable of being processed by a data digging algorithm; 3, targeted to the pretreatment result, a global simulation performance predication algorithm based on a nonlinear prediction model is utilized, and the nonlinear prediction model for representing the relation between key design parameters and global simulation performance parameters is established; 4, when the design parameters are changed, a global performance evaluation index is constructed for the obtained new design model, and the global simulation performance of a product is predicted through the nonlinear prediction model. By means of the global simulation performance predication method, on the premise of reducing actual simulation times, product performance is predicted rapidly, accordingly the design cost is saved, and design efficiency is improved.

Description

technical field [0001] The invention relates to the field of CAE (Computer Aided Engineering, computer aided engineering) and data mining technology, in particular to a global simulation performance prediction method based on data mining. Background technique [0002] The wide application of simulation technology shows significant advantages in reducing the cost of product development, shortening the cycle to market and improving product quality. Simulation technology has been integrated into the performance analysis and simulation process of complex products in multiple disciplines, such as finite element analysis (FEA), computational fluid dynamics (CFD), system dynamics analysis, etc. Simulation is gradually changing from design verification means and methods Becomes the enable of the driver design. [0003] However, product development is an iterative process of design and simulation. Each design of a product requires repeated revisions, and each revision requires simul...

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): G06F17/50
CPCG06F30/367
Inventor 刘玉生邵艳利
Owner ZHEJIANG UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap