45
Views
0
CrossRef citations to date
0
Altmetric
Translated Articles

Effect of Mill Scale on Laser Cutting Quality of Various Thick Steel Plates

, , , , &
Pages 79-89 | Published online: 31 Oct 2023
 

Abstract

Laser cutting provides more precise and higher quality cuts than other thermal cutting processes, and is adaptable to automation requirements. On the other hand, laser cutting with oxygen assist gas of thick steel plates is a complex process in which various factors affect laser cutting quality compared to the thin plates. When laser cutting of the plate with mill scale is performed, the mill scale on the surface of plate generally plays a role in supporting stable laser cutting, although self-burning may also occur due to peeling of the mill scale. Therefore, this paper focuses on the mill scale and investigates the effects of the adhesion, thickness, and surface roughness of the mill scale on the laser cutting quality. As a result, it was found that the laser cutting quality is higher when the adhesion of the mill scale is high, the thickness of the mill scale is between 20 μm and 40 μm, and the surface roughness is small.

Acknowledgment

The authors would like to express their deep appreciation to Mr. Takami Masui of the Mie Prefectural Industrial Research Institute for his assistance in surface roughness measurement and Mr. Shoji Nakamura of the Engineering Department, Faculty of Engineering, Mie University for his assistance in EPMA analysis.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 726.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.