Machining error compensation modeling and compensation coefficient learning control method for cutting interface of thin-walled parts

A technology of machining error and compensation coefficient, which is applied in the field of machining error compensation modeling and compensation coefficient learning control at the cutting interface of thin-walled parts, can solve problems such as poor practicability, and achieve the effects of good practicability, reduced error, and stable convergence state.

Active Publication Date: 2019-07-19
NORTHWESTERN POLYTECHNICAL UNIV
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of poor practicability of the existing thin-walled parts machining error compensation method, the present invention provides a thin-walled part cutting interface machining error compensation modeling and compensation coefficient learning control method

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
  • Machining error compensation modeling and compensation coefficient learning control method for cutting interface of thin-walled parts
  • Machining error compensation modeling and compensation coefficient learning control method for cutting interface of thin-walled parts
  • Machining error compensation modeling and compensation coefficient learning control method for cutting interface of thin-walled parts

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] refer to figure 1 . The specific steps of the thin-walled part cutting interface machining error compensation modeling and compensation coefficient learning control method of the present invention are as follows:

[0038] Step 1. Taking the cantilever side milling of the same batch of 65×15×11mm rectangular blocks as an example, only the last layer of cutting is compensated, and all the four workpieces are numbered, expressed as

[0039] w∈{w k |k∈{0,1,2,3}},

[0040] Among them, w is the workpiece, w k Denoted as the kth artifact.

[0041] Step 2. Take the initial numbered workpiece as the compensation test piece, expressed as

[0042] w∈{w k |k∈{0,1,…,n}},

[0043] Among them, when k=0, it means that the workpiece is not compensated, and n means the workpiece number when the accuracy requirement is met.

[0044] For the current processing step, the machining allowance of each point is H=0.25mm, and the nominal cutting depth x and machining error e are defined....

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 modeling of machining error compensation for cutting interface of thin-walled parts and learning control method of compensation coefficient, which is used for solving the technical problem of poor practicality in error compensation method for machining thin-walled parts. Technical scheme is based on measured data. Cutting parameters of the next processing are corrected after calculating the secondary machining error. A simple calculation of the initial point string cutting method is used in compensation calculation to control compensation coefficient for each processing. The same cutting parameters can be used in the follow-up work when the processing error is stable, and the processing can be completed, and the practicability is good. The error compensation model of thin-walled parts is based on the initial point cutting method, so the calculation of compensation coefficient is simple and the state of convergence is stable. The error is reduced by 68.3% after the first compensation. The error is reduced by 83.4% after two times compensation. The subsequent workpiece error is stable at 0.0061mm, which simplifies the compensation model and improves the machining accuracy.

Description

technical field [0001] The invention relates to a method for compensating processing errors of thin-walled parts, in particular to a method for compensating modeling of processing errors in cutting interfaces of thin-walled parts and learning and controlling methods for compensation coefficients. Background technique [0002] Document 1 "Chinese Invention Patent Application No. 201610810762.7" discloses an online deformation prediction and compensation method for mesoscopic elastic thin-walled parts. Completed the reference. However, this method does not involve the essence of the deformation compensation principle, and the compensation process relies on the mirror image method, and the effect of a single application is not good. [0003] Document 2 "Chinese Invention Patent Application No. 201611251817.1" discloses a method for compensating machining errors of thin-walled blades of aero-engines based on learning algorithms. Taylor expansion at the place, and an iterative ...

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 Patents(China)
IPC IPC(8): G05B19/404
CPCG05B19/404G05B2219/35408Y02P90/02
Inventor 张定华侯尧华张莹
Owner NORTHWESTERN POLYTECHNICAL 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