Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for building carbon fiber enhanced composite material milling force prediction model

A technology of reinforced composite materials and predictive models, which is applied in the field of mechanical cutting and processing, and can solve problems such as insufficient precision

Active Publication Date: 2017-01-11
DALIAN UNIV OF TECH
View PDF3 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the method of directly obtaining the multi-directional plate milling force by linearly superimposing the unidirectional plate milling force often has the problem of insufficient accuracy. It is necessary to establish a milling force prediction model that considers non-isotropic lamination effects to accurately predict CFRP multi-directional laminates. The milling force provides reliable data support for engineering practice

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
  • Method for building carbon fiber enhanced composite material milling force prediction model
  • Method for building carbon fiber enhanced composite material milling force prediction model
  • Method for building carbon fiber enhanced composite material milling force prediction model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] Embodiment 1 comprises the following steps:

[0055] The first step is to obtain the milling force coefficient. According to the above experimental parameters and settings, the milling experiment was carried out on the carbon fiber reinforced composite unidirectional plate. The processing method was side milling, and the milling force data under different parameters were obtained. The cutting force curve in the cutting stage corresponds to the theoretically calculated cutting process, so the cutting force corresponding to each cutting position can be extracted according to the cutting force signal curve. According to the formula 1-11, the cutting position corresponding to the cutting force data point can be calculated, and the K corresponding to the fiber cutting angle, cutting speed and instantaneous cutting area can be calculated c and K t , a total of 3720 groups of effective milling force data points were obtained.

[0056] In the second step, the BP neural netwo...

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 method for building a carbon fiber enhanced composite material milling force prediction model, belongs to the technical field of mechanical cutting machining, and relates to a method for building a milling force prediction model of a carbon fiber enhanced composite material multi-direction laminated plate. The method comprises the following steps: firstly, acquiring milling force coefficient data; building and training a BP neural network model; analyzing the influence of a non-collinear laminating effect on single-direction laminated milling force in the multi-direction laminated plate; dividing a laminating state of a layer of 90 degrees and a layer of 135 degrees into single-side intention support and dual-side different-direction support; acquiring a corresponding correction coefficient to obtain the milling force prediction model for different laminating ways of a CFRP multi-direction plate. By adopting the method, the milling force prediction model has higher prediction accuracy, reliable data support is provided for engineering practice, and a certain engineering practical value is achieved.

Description

technical field [0001] The invention belongs to the technical field of mechanical cutting and relates to a method for establishing a milling force prediction model of a carbon fiber reinforced composite material multi-directional laminate. Background technique [0002] Carbon fiber reinforced composites (CFRP) have high specific strength, high specific stiffness, fatigue resistance, corrosion resistance and other excellent properties. In recent years, the amount used in aerospace and other fields has increased year by year. In the manufacturing process of composite material components, milling has become an important processing method for composite materials due to its flexible processing trajectory, strong adaptability and high processing quality. Due to the typical anisotropy of carbon fiber reinforced composite materials, processing damage is extremely sensitive to changes in milling force, and excessive milling force can easily lead to damage such as delamination and chi...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 王福吉毕广健贾振元宿友亮马建伟朱浩杰
Owner DALIAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com