A non-contact measuring system for in-situ surface characterization based on laser confocal microscopy

Shaowei Fu, Fang Cheng*, Tegoeh Tjahjowidodo, Yu Zhou, David Butler

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

40 Citations (Scopus)

Abstract

The characterization of surface topographic features on a component is typically quantified using two-dimensional roughness descriptors which are captured by off-line desktop instruments. Ideally any measurement system should be integrated into the manufacturing process to provide in-situ measurement and real-time feedback. A non-contact in-situ surface topography measuring system is proposed in this paper. The proposed system utilizes a laser confocal sensor in both lateral and vertical scanning modes to measure the height of the target features. The roughness parameters are calculated in the developed data processing software according to ISO 4287. To reduce the inherent disadvantage of confocal microscopy, e.g., scattering noise at steep angles and background noise from specular reflection from the optical elements, the developed system has been calibrated and a linear correction factor has been applied in this study. A particular challenge identified for this work is the in-situ measurement of features generated by a robotized surface finishing system. The proposed system was integrated onto a robotic arm with the measuring distance and angle adjusted during measurement based on a CAD model of the component in question. Experimental data confirms the capability of this system to measure the surface roughness within the Ra range of 0.2–7 μm (bandwidth λcs of 300), with a relative accuracy of 5%.

Original languageEnglish
Article number2657
JournalSensors (Switzerland)
Volume18
Issue number8
DOIs
Publication statusPublished - 13 Aug 2018

Bibliographical note

Funding Information:
Funding: This research was funded by Nanyang Technological University (Singapore) and Advanced Remanufacturing and Technology Centre (Singapore). The APC was funded by Advanced Remanufacturing and Technology Centre (Singapore).

Publisher Copyright:
© 2018 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Error correction
  • In-situ measurement
  • Non-contact
  • Surface roughness

ASJC Scopus subject areas

  • Analytical Chemistry
  • Information Systems
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

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