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125069

A Novel Light Sectioning Vision System for a Three Dimensional Surface Roughness Assessment.

Article

Last updated: 04 Jan 2025

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Tags

Mechanical Power Engineering

Abstract

Standard roughness measurement procedures depend heavily on stylus instruments which have only limited flexibility in handling different parts. On the other hand, optical non-contact techniques are very interesting for 3D characterization of sensitive and complex engineering surfaces. In this study, a new approach is introduced to measure surface roughness in three dimensions by combining a light sectioning microscope and a computer vision system. This approach has the advantages of being non-contact, fast and cheap. A prototype version of a user interface program, currently named SR3D Vision, has been developed to manage three dimensional surface roughness measurements. A light sectioning microscope is used to view roughness profiles of the specimens to be Measured and the vision system is used to capture images for successive profiles. This program has been totally developed in-house using MatlabTM software to analyze the captured images through four main modules: (Measurement controller, Profile or surface extraction, 2D roughness parameters calculation and 3D roughness parameters calculation). The system has been calibrated for metric units and verified using standard specimens. In addition, the system was used to measure various samples machined by different operations and the results were compared with a commercial software and a web-based surface metrology algorithm testing system. The accuracy of the system was verified and proved to be within ±4.8% compared with these systems.

DOI

10.21608/bfemu.2020.125069

Keywords

3D surface roughness, Computer Vision, Light sectioning

Authors

First Name

Ossama

Last Name

Abouelatta

MiddleName

B.

Affiliation

Professor of Production Engineering and Mechanical Design Department., Faculty of Engineering., El-Mansoura University., 35516 Mansoura., Egypt.

Email

abouelatta@mans.edu.eg

City

Mansoura

Orcid

0000-0003-2340-1264

Volume

35

Article Issue

3

Related Issue

18592

Issue Date

2010-09-01

Receive Date

2010-07-11

Publish Date

2020-11-23

Page Start

14

Page End

26

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 35_Issue 3_Pages 14-26.pdf

PDF . 242.3kB

Link

https://bfemu.journals.ekb.eg/article_125069.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=125069

Order

5

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

A Novel Light Sectioning Vision System for a Three Dimensional Surface Roughness Assessment.

Details

Type

Article

Created At

22 Jan 2023