Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Dual-face locking knife handle-spindle system joint part stiffness characteristic optimization method based on particle swarm optimization

A technology of particle swarm algorithm and stiffness characteristics, which is applied in the field of toolholder-spindle system dynamic characteristics analysis, can solve problems such as the separation of conical joint surfaces, affecting the dynamic performance of the system, and reducing the stiffness of the joint

Inactive Publication Date: 2017-05-31
BEIJING UNIV OF TECH
View PDF1 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, when the speed is higher than a certain high speed, the large end of the conical joint surface will still be partially separated, thereby reducing the stiffness of the joint and affecting the dynamic performance of the system

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
  • Dual-face locking knife handle-spindle system joint part stiffness characteristic optimization method based on particle swarm optimization
  • Dual-face locking knife handle-spindle system joint part stiffness characteristic optimization method based on particle swarm optimization
  • Dual-face locking knife handle-spindle system joint part stiffness characteristic optimization method based on particle swarm optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] The following is attached Figure 1-3 The present invention is described in further detail.

[0015] Step (1) Establish a three-dimensional normal and tangential stiffness model, and write a MATLAB program; establish a double-sided locking tool holder-spindle system joint torsional and radial stiffness model, and write a MATLAB program.

[0016] Based on the M-B fractal theory, combined with the Hertz theory, and considering the elastoplastic deformation and domain expansion factor ψ, the total elastic normal load, elastoplastic normal load and The total plastic normal loads are as follows:

[0017]

[0018]

[0019]

[0020] where H G1 ,H G2 Both are coefficients related to material properties and fractal parameters of the joint surface,

[0021] H is the hardness of the softer material, H=2.8Y (Y is the yield strength value); k is a parameter related to Poisson's ratio, k=0.454+0.41ν; a' 1c ,a' 2c are the critical cross-sectional areas between elastic...

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 dual-face locking knife handle-spindle system joint part stiffness characteristic optimization method based on particle swarm optimization. The dual-face locking knife handle-spindle system joint part stiffness characteristic optimization method based on particle swarm optimization adopts knife handle-spindle structural technological parameters and joint surface fractal parameters as optimization variables. The method comprises the steps that firstly, a three-dimensional fractal normal and shear stiffness model and a joint part torsion and radial stiffness model are built, and MATLAB programs are written separately; secondly, a contact-considering three-dimensional geometrical model is built for the dual-face locking knife handle-spindle system and static analysis is performed, so that an APDL file is obtained, and finally integration in Isight software and iterative optimization based on the particle swarm optimization are achieved. According to the method, the combination of the three-dimensional fractal micro contact stiffness modeling theory and finite element static analysis is adopted, the dual-face locking knife handle-spindle system joint part torsion and radial stiffness can be calculated under the high-speed condition, and the knife handle-spindle system optimization process on the Isight software platform based on the particle swarm optimization is achieved.

Description

technical field [0001] The invention belongs to the field of analysis of the dynamic characteristics of the tool handle-spindle system, and relates to a method for optimizing the stiffness characteristics of the joint part of the double-sided locking tool handle-spindle system based on the particle swarm algorithm, more specifically, a method based on the torsional and radial stiffness of the joint part To optimize the target, an optimization method based on particle swarm optimization algorithm is used with tool holder-spindle structure process parameters and joint surface fractal parameters as optimization variables. Background technique [0002] For high-speed machining centers, the spindle-tool holder system is an important component that affects the machining accuracy of the machine tool, and the contact stiffness of the system joint under high-speed conditions is an important optimization target to improve the dynamic performance of the system. The double-sided locking...

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): G06F17/50
CPCG06F30/17G06F30/23
Inventor 刘志峰许静静赵永胜蔡力钢
Owner BEIJING UNIV OF TECH
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
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