Unlock instant, AI-driven research and patent intelligence for your innovation.

Roughness Monitoring Method of Milling Workpiece Based on Tool Trajectory and Redundancy Elimination

A tool position trajectory and roughness technology, applied in neural learning methods, metal processing mechanical parts, manufacturing tools, etc., can solve problems such as poor practicability

Active Publication Date: 2017-12-26
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 existing milling workpiece roughness monitoring methods, the present invention provides a milling workpiece roughness monitoring method based on tool position trajectory and redundant elimination

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
  • Roughness Monitoring Method of Milling Workpiece Based on Tool Trajectory and Redundancy Elimination
  • Roughness Monitoring Method of Milling Workpiece Based on Tool Trajectory and Redundancy Elimination
  • Roughness Monitoring Method of Milling Workpiece Based on Tool Trajectory and Redundancy Elimination

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] refer to figure 1 . The specific steps of the milling workpiece roughness monitoring method based on tool position trajectory and redundant elimination in the present invention are as follows:

[0055] 1. (1) Obtain the initial processing speed of the milling cutter in X, Y, and Z respectively according to the G code of the milling process. Let the initial speed of the milling cutter be v 0 =(v x0 ,v y0 ,v z0 ); where v x0 is the initial speed of the milling cutter on the X axis, v y0 is the initial speed of the milling cutter on the Y axis, v z0 is the initial speed of the milling cutter on the Z axis; (2) According to the G code of the milling process, the speeds of the milling cutter at X, Y, and Z are respectively obtained when the speed is changed. When the milling cutter changes speed, its speed is v 1 =(v x1 ,v y1 ,v z1 ), after time t, the speed change rate of the milling cutter is where v x1 is the speed of the milling cutter along the X axis at ...

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 milled workpiece roughness monitoring method based on tool path and redundancy elimination, and solves the technical problem that a conventional milled workpiece roughness monitoring method is low in practicability. The technical scheme adopted by the invention is that the tool path is introduced and coded in a real-time manner, so that the tool path enters a roughness monitoring system in an information flow way, and redundant information is eliminated before an intelligent roughness predicating system is trained, so that the intelligent roughness monitoring system can effectively overcome the processing limitation, which is caused by the fact that tool path information is not introduced. Since the tool path is coded in a real-time manner and the working state of a milling cutter is judged during the milling process, the information that the milling cutter operates in any state can be fed back to the roughness monitoring system, the processing limitation in the prior art that the tool path is unchanged by default during the process of monitoring the milling roughness is overcome, and the processing environment is closer to the real processing environment; and since the tool path information closely related to the roughness is associated with the roughness monitoring system, the accuracy and the practicability of roughness monitoring are improved.

Description

technical field [0001] The invention relates to a method for monitoring the roughness of a milling workpiece, in particular to a method for monitoring the roughness of a milling workpiece based on tool position trajectory and redundant elimination. Background technique [0002] In the field of aerospace, intelligent monitoring of the roughness of milled workpieces can reduce the positioning errors caused by disassembly and re-clamping, which is of great significance for online evaluation of the quality of processed workpieces. [0003] The document "Intelligent Prediction of Surface Roughness in Milling, Machine Tool and Hydraulics, 2009, Vol.37(10), p58-59" discloses an intelligent prediction method for surface roughness in milling. This method takes the relationship between cutting amount and roughness as the research object, and uses the experimental method to measure the roughness value when the 16 processing parameters are changed, and then uses this as the learning sam...

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): B23Q17/20B23Q17/09B23Q17/12B23Q17/10G06N3/08
CPCB23Q17/0952B23Q17/10B23Q17/12B23Q17/20G06N3/08
Inventor 卜昆田国良邱飞莫蓉孙惠斌张现东胡杰王志红田嘉伟赵丹青金宗李李扬廖金明张明
Owner NORTHWESTERN POLYTECHNICAL UNIV