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

Turning parameter prediction method for machining TC4 titanium alloy workpiece

A prediction method, titanium alloy technology, applied in metal processing machinery parts, metal processing equipment, manufacturing tools, etc., can solve the problems of slow convergence speed, weakened stability, and low convergence accuracy in the later stage.

Pending Publication Date: 2019-10-15
XUZHOU NORMAL UNIVERSITY
View PDF1 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the basic particle swarm optimization method has many advantages, its low convergence accuracy, slow convergence speed in the later period, and rapid weakening of stability as the problem dimension increases are the fatal reasons why it is difficult to use in complex situations.

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
  • Turning parameter prediction method for machining TC4 titanium alloy workpiece
  • Turning parameter prediction method for machining TC4 titanium alloy workpiece
  • Turning parameter prediction method for machining TC4 titanium alloy workpiece

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] This embodiment provides a method for predicting the A sound level based on the physical quantity of the workpiece, such as figure 1 As shown, the method specifically includes the following steps:

[0058] (1) Take the turning speed, feed rate, and back cutting amount as the turning parameters to be predicted for processing TC4 titanium alloy workpieces, aiming at the lowest turning temperature, the smallest surface roughness of the workpiece, and the largest material removal rate, and satisfying the turning parameters Under the condition of the lower limit, a prediction model for turning parameters is constructed.

[0059] Among them, the constructed turning parameter prediction model is specifically:

[0060] Minimum turning temperature objective function: t=46.11n 0.6084 f 0.0939 a p 0.0043

[0061] Minimum workpiece surface roughness objective function: R a =2.85n -0.2836 f 0.6141 a p 0.5181

[0062] Maximum material removal rate objective function: Q=10...

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 turning parameter prediction method for machining a TC4 titanium alloy workpiece. The method comprises the steps that (1) taking the turning rotating speed, the feeding amount and the back cutting depth as to-be-predicted turning parameters for machining the TC4 titanium alloy workpiece, taking the minimum turning temperature, the minimum workpiece surface roughness and the maximum material removal rate as targets, and constructing a turning parameter prediction model under the condition that the upper limit and the lower limit of the turning parameters are met; (2) changing the turning parameter prediction model into a coding optimization model; and (3) setting upper and lower limits of turning parameters of a to-be-predicted machining workpiece, inputting the upper and lower limits into the coding optimization model established in the step (2), and solving the coding optimization model by using an adaptive random simplified particle swarm optimization algorithm to obtain optimal configuration of the turning speed, the feeding amount and the back cutting depth. According to the method, the turning parameters of the TC4 titanium alloy workpiece can be rapidly predicted.

Description

technical field [0001] The invention relates to machining data prediction, in particular to a turning parameter prediction method for processing TC4 titanium alloy workpieces. Background technique [0002] Turning, milling, planing and grinding are the four methods of modern mechanical processing, and their level determines the country's industrial level to a certain extent. Turning, as one of the important methods, is a current research hotspot. [0003] Other scholars have made a lot of valuable work on the optimization of turning parameters. Miodragovic [Document: Miodragovic G.R, Dordevic V, Bulatovic R.R, et al. Optimization of multi-passturning and multi-pass face milling using subpopulation firefly algorithm [J]. The institution of mechanical engineers part C-journal of mechanical engineering science, 2 233(5):1520-1540.] etc. Considering the minimum processing cost, the shortest processing time and the maximum profit, the improved firefly algorithm is used to optim...

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): G06F17/50G06N3/00B23Q17/09
CPCG06N3/006B23Q17/0904G06F2119/06G06F30/20
Inventor 张鑫邹德旋喻秋
Owner XUZHOU NORMAL UNIVERSITY
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