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

Surface roughness evaluation method based on Hoyer coefficient of processed surface image

A technology of surface roughness and surface processing, which is applied in the field of surface roughness evaluation based on the Hoyer coefficient of processed surface images, can solve the problem of less involvement of feature extraction methods, and achieve the effect of fast evaluation

Active Publication Date: 2022-04-15
LYNCWELL INNOVATION INTELLIGENT SYST ZHEJIANG CO LTD +1
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

So far, data-driven methods (machine learning, etc.) have been widely used in the evaluation of workpiece surface roughness. However, methods for feature extraction are still less involved.

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
  • Surface roughness evaluation method based on Hoyer coefficient of processed surface image
  • Surface roughness evaluation method based on Hoyer coefficient of processed surface image
  • Surface roughness evaluation method based on Hoyer coefficient of processed surface image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] Embodiment 1: through a series of nodular cast iron 500-7 cutting experiments are used to carry out the verification of the method, its flow chart is as follows figure 1 shown, including the following steps:

[0053] S1: Three different machine tools (VMC650E / 850E, XK63100, NBH800) were used for cutting experiments. The size of the workpiece is fixed at 200mm x 140mm x 100mm. The technological parameters of the three machine tools during the experiment are as attached figure 2 Shown are: type VMC650E / 850E machine tool, the milling method is up-cut milling, the tool is a disc milling cutter, the feed speed is 200mm / min, the spindle speed is 960rpm, and the depth of cut is 0.5mm; type XK63100 machine tool, the milling method is down Milling, the tool is a disc milling cutter, the feed rate is 500mm / min, the spindle speed is 450rpm, and the depth of cut is 4mm; type NBH800 machine tool, the milling method is down milling, the tool is a disc milling cutter, the feed rat...

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 surface roughness evaluation method based on a Hoyer coefficient of a processed surface image, which mainly comprises the following steps of: acquiring a processed surface picture, converting the processed surface picture into a gray scale space, and then correcting the direction of the image, so that the horizontal direction of the image is consistent with the processing feeding direction; according to the method, line gray information passing through the central point of the image is extracted in the horizontal direction of the image, the Hayer statistical value of the normalized line gray information is calculated, and finally, the surface roughness value of the workpiece is evaluated by adjusting the Hayer statistical value. The method has the advantages of being high in evaluation speed and small in influence on an existing production mode, and the surface roughness of the workpiece can be rapidly evaluated based on the Hoyer coefficient of the machined surface image after the workpiece is machined.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to a method for evaluating surface roughness based on the Hoyer coefficient of processed surface images. Background technique [0002] During the processing, the detailed information of the processing process will inevitably be left on the surface of the processed workpiece, and the change of its conditions will also be left on the topography of the processed surface. As a unique "sensor", how to extract the quality information of the processing process from the analysis of the processed surface texture, and finally extract the key feature information reflecting the surface roughness, is a key problem to be solved urgently. So far, data-driven methods (machine learning, etc.) have been widely used in the evaluation of workpiece surface roughness, however, methods for feature extraction are still less involved. Contents of the invention [0003] The object 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): G06T5/00G06T7/00G06T7/90
Inventor 李小刚卜宪伟邵正鹏陈雷林苏奔孙浩然孙维方冯光卢成绩黄海玉
Owner LYNCWELL INNOVATION INTELLIGENT SYST ZHEJIANG CO LTD
Features
  • Generate Ideas
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com