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

Box-type thin-walled part milling stability prediction method

A technology of stability prediction, thin-walled parts, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as low prediction accuracy

Active Publication Date: 2017-11-14
NORTHWESTERN POLYTECHNICAL UNIV
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the shortcomings of the low prediction accuracy of the existing thin-walled parts milling stability prediction method, the present invention provides a box-shaped thin-walled parts milling stability prediction 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
  • Box-type thin-walled part milling stability prediction method
  • Box-type thin-walled part milling stability prediction method
  • Box-type thin-walled part milling stability prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] Embodiment 1: Adopt the present invention to carry out the prediction of the peripheral milling stability of the box-shaped thin-walled part that the side wall is all plane, wherein the box-shaped size is 200mm * 100mm * 27mm, the thickness of the bottom of the box is 3mm, the thickness of the side wall before milling is 3mm, and the diameter The depth of cut is 1mm, the material of the workpiece is aluminum alloy 7050, and the workpiece is clamped on the machine table by the pressure plate.

[0047] (1) Clamp a 3-tooth flat-end end mill with a diameter of 16mm on the spindle of the machine tool through a collet holder, the tool extension length is 50mm, and the tool material is cemented carbide; the tool-tool holder-spindle system is modal Hammering experiment, the frequency response function of three points along the tool axis is measured, and the tool-tool holder-spindle system is experimentally analyzed through the three-point frequency response function, and the nat...

Embodiment 2

[0078] Embodiment 2: Adopt the present invention to carry out the prediction of the milling stability of the box-shaped thin-walled part with curved surface on the side wall, one side wall of this box-shaped part is a curved surface, and the surface equation is

[0079] x(u,v)=R W cos(θ W +(u-1)(2θ W -π))

[0080] y(u,v)=R W sin(θW +(u-1)(2θ W -π))+0.155-R W u,v∈[0,1]

[0081] z(u,v)=28v

[0082] Among them, θ W = 1.164705892287963 rad, R W =0.43035714285714m, the unit of x, y, z is m. The other 3 side walls are plane. The size of the box is 340mm×155mm×28mm, the thickness of the bottom of the box is 2mm, the wall thickness before milling is 2.8mm, the radial cutting depth is 1mm, the material of the workpiece is aluminum alloy 7050, and the workpiece is clamped on the machine table by the pressure plate.

[0083] (1) Clamp a 3-tooth flat-end end mill with a diameter of 16mm on the spindle of the machine tool through a collet holder, the tool extension length is 50...

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 box-type thin-walled part milling stability prediction method, used for solving the technical problem of lower prediction accuracy of an existing thin-walled part milling stability prediction method. The technical scheme is that the method comprises the steps of firstly using a modal hammer experiment to test a modal parameter of a tool and a modal damping ratio of a workpiece; then using a substructure modal synthesis method to calculate a workpiece dynamic characteristic with considering a material removal effect; afterwards, extracting dynamic displacements of the workpiece at different tool positions and different axial heights; finally establishing a multi-point contact milling dynamical model, substituting the previously obtained workpiece dynamic characteristic into the model, and solving reliability. Changes due to material removal, changes at different tool positions, and changes along the axial direction of the tool of the workpiece dynamic characteristic are considered at the same time, thus improving the prediction accuracy of box-type thin-walled part milling stability.

Description

technical field [0001] The invention relates to a method for predicting the milling stability of a thin-walled part, in particular to a method for predicting the milling stability of a box-shaped thin-walled part. Background technique [0002] A large number of thin-walled parts are used in the aerospace field, but efficient and high-precision machining of thin-walled parts is a difficult problem in the manufacturing field. This type of parts is composed of box-shaped units with a wall thickness of 1.5-4mm, an aspect ratio greater than 100, and a height-thickness ratio greater than 10. Due to the thin wall, large span, and deep cavity of this type of box-shaped unit, it is easy to cause inaccuracies during milling. Stable cutting seriously affects the milling efficiency and part quality of thin-walled parts, and at the same time accelerates tool wear and even causes tool breakage. Therefore, it is of great significance to accurately predict the stability of the milling proc...

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): G06F17/50
CPCG06F30/17G06F30/23G06F2119/06
Inventor 张卫红杨昀万敏马颖超党学斌
Owner NORTHWESTERN POLYTECHNICAL UNIV
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