Research on Brinell hardness measurement method based on three-dimensional point cloud data

The traditional Brinell hardness testing method involves using a contour projector or an optical microscope to visually determine the edge of the indentation, and then measuring the diameter. However, with the advancement of technology, the use of cameras combined with image processing algorithms for indentation measurement has gradually begun to be applied to Brinell hardness indentation measurement. The technique can eliminate human error and provide more accurate measurement of the indentation edge. However, since image processing technology only analyzes on a two-dimensional plane, it cannot provide depth information of the object, which may result in neglecting issues related to hardness indentation edge measurement. To address this limitation, this article uses confocal microscopy to obtain three-dimensional morphology data of indentation, adding an analytical dimension to the traditional measurement methods, and further studies and analyzes the morphology characteristics of indentation and the position of the hardness result reference plane through point cloud data to obtain more accurate indentation hardness data.

Authors

Institutions

Publication Details

Journal
Measurement Sensors
Published
2024-12-20
DOI
https://doi.org/10.1016/j.measen.2024.101452
Primary Topic
Advanced Measurement and Metrology Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Brinell hardness measurement method based on three-dimensional point cloud data

Zhang Li, Shilin Chen, Jun Yang, Wei Shi
Measurement Sensors
Advanced Measurement and Metrology Techniques
article

Research on Brinell hardness measurement method based on three-dimensional point cloud data

Zhang Li, Shilin Chen, Jun Yang, Wei Shi
article en

Abstract

The traditional Brinell hardness testing method involves using a contour projector or an optical microscope to visually determine the edge of the indentation, and then measuring the diameter. However, with the advancement of technology, the use of cameras combined with image processing algorithms for indentation measurement has gradually begun to be applied to Brinell hardness indentation measurement. The technique can eliminate human error and provide more accurate measurement of the indentation edge. However, since image processing technology only analyzes on a two-dimensional plane, it cannot provide depth information of the object, which may result in neglecting issues related to hardness indentation edge measurement. To address this limitation, this article uses confocal microscopy to obtain three-dimensional morphology data of indentation, adding an analytical dimension to the traditional measurement methods, and further studies and analyzes the morphology characteristics of indentation and the position of the hardness result reference plane through point cloud data to obtain more accurate indentation hardness data.

Measurement SensorsVol. 38
Changcheng Institute of Metrology & Measurement
Climate action
Openalex Percentile: Top 76%
Advanced Measurement and Metrology Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research on Brinell hardness measurement method based on three-dimensional point cloud data — Zhang Li, Shilin Chen, et al. · Measurement Sensors (2024) | TGRS Research Map | TGRS