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

Modal testing method of numerical control machine tool feed system based on built-in sensors

A technology of CNC machine tools and feeding systems, which is applied in measuring/indicating equipment, metal processing mechanical parts, metal processing equipment, etc., can solve problems such as differences, achieve high precision and save test costs.

Active Publication Date: 2012-09-12
XI AN JIAOTONG UNIV
View PDF9 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the modal parameter results obtained by traditional modal testing methods are different from the real results

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
  • Modal testing method of numerical control machine tool feed system based on built-in sensors
  • Modal testing method of numerical control machine tool feed system based on built-in sensors
  • Modal testing method of numerical control machine tool feed system based on built-in sensors

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0023] refer to figure 1 , a modal test method for a feed system of a CNC machine tool based on a built-in sensor, comprising the following steps:

[0024] 1) According to the signal types that can be realized by the NC program of the test object, a signal is reasonably selected from the square wave signal, sine wave signal, frequency-swept sine signal, random signal, and pseudo-random signal as the excitation signal, and the excitation signal is determined. Basic parameters, and write the CNC program G code according to the excitation signal, so that the X-axis of the machine tool table moves according to the trajectory of the selected excitation signal;

[0025] 2) While the machine tool table is moving, use multi-channel signal acquisition equipment to simultaneously collect the current of the X-axis servo motor, the encoder of the X-axis servo motor and the sign...

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 modal testing method of a numerical control machine tool feed system based on built-in sensors. The method comprises the following steps: a numerical control machine tool worktable is moved in accordance with given excitation signals, and at the same time servo motor current signals, motor coder signals and grating scale signals are acquired synchronously by using a signal acquisition device; the motor current signals are multiplied by the torque constant of a motor to produce the torque of the motor; second order difference is performed on the coder signals and the grating scale signals to produce acceleration signals of the worktable and angular acceleration of a screw rod; a frequency response function of the torque of the motor and an acceleration of the worktable and a frequency response function of the torque of the motor and an angular acceleration of the screw rod are calculated; fitting is performed on the two frequency response functions to obtain a fitted frequency response function; and axial modal parameters and torsional modal parameters are calculated finally. Compared with conventional modal testing methods, the novel method provided in the invention reduces cost of tests, and can realizes on-line testing of feed system modal parameters.

Description

technical field [0001] The invention relates to a modal test method for a feed system of a numerically controlled machine tool, specifically designing a modal test method for the feed system of a numerically controlled machine tool based on a built-in sensor. Background technique [0002] At present, CNC machine tools are developing along the direction of high speed and high precision, and the dynamic characteristics of machine tools are important factors affecting machining accuracy. As an important part of CNC machine tools, the feed system directly affects the processing quality and processing efficiency of the workpiece. The modal analysis is an important method to study the dynamic characteristics of the machine tool; through the modal analysis, the weak link of the machine tool structure can be found, so as to improve the machine tool structure and the dynamic characteristics of the machine tool. Modal analysis can also accurately calculate the bandwidth range of the ...

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): B23Q17/00
Inventor 梅雪松赵飞姜歌东邢铭宗
Owner XI AN JIAOTONG 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

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