Surface roughness measurement and analysis of mechanical parts based on digital holography
Clicks: 358
ID: 111026
2016
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.2
/100
358 views
50 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #11 of 27 articles by views in advances in manufacturing
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
We measure the surface roughness of the mechanical parts based on digital holography. A digital off-axis hologram recording setup for reflective samples is built. Firstly, the height reconstruction error 2.3% of the setup is calibrated by using the quartz step height standard (VLSI-SHS-880QC). Then, the standard scribed-line model and the grinding roughness specimen are selected as the test samples and their surface roughness are 0.095 6 μm and 0.025 3 μm, with errors 6.3%, 0.9%, respectively. The results are in good agreement with the given roughness parameters. At last, we also analyze the window effect of the filter on the roughness measurement value based on digital holography. In conclusion, the paper demonstrated effectively that the digital holography could provide the surface feature for the roughness measurement with high accuracy.
| Reference Key |
zhou2016advancessurface
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Wen-jing Zhou;Ke-qin Peng;Ying-jie Yu;Wen-jing Zhou;Ke-qin Peng;Ying-jie Yu; |
| Journal | advances in manufacturing |
| Year | 2016 |
| DOI |
doi:10.1007/s40436-016-0146-5
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.