Proceedings of the
World Congress on Micro and Nano Manufacturing (WCMNM 2022 )
19–22 September 2022, Lueven, Belgium
doi:10.3850/978-981-18-5180-3_RP09-0032
Investigation of Oxide Layer Removal of Low Carbon Steel using Nanosecond Pulsed Laser via Response Surface Methodology
Department of Mechanical Engineering, Indian Institute of Technology Bombay, Mumbai (INDIA)
ABSTRACT
Laser cleaning of rust from low carbon steel requires a careful selection of operating parameters to get the desired cleaning effects and surface properties. In this study, response surface methodology (RSM) was used to conduct an experimental analysis using the central composite design (CCD). The effects of operational parameters such as laser power, scan speed, pulse repetition rate and hatch distance on the average depth of removal and the surface roughness (Sa) were investigated. The data-driven models are compared with experiments, and R-sq values for surface roughness and depth of removal are obtained as 78.15% and 80.47%, respectively. Proper cleaning was observed to occur only at certain values of laser parameters. The depth of removal is observed to first increase and then decrease with all parameters whereas, the surface roughness showed a monotonous trend with the parameters. This work demonstrates that laser cleaning of rust to obtain a good surface finish with shiny surface can be achieved through an appropriate selection of the process parameters.
Keywords: Laser Cleaning, Rust Removal, Nanosecond Laser, Response Surface Methodology, and Central Composite Design.
Department of Mechanical Engineering, Indian Institute of Technology Bombay, Mumbai (INDIA)
ABSTRACT
Laser cleaning of rust from low carbon steel requires a careful selection of operating parameters to get the desired cleaning effects and surface properties. In this study, response surface methodology (RSM) was used to conduct an experimental analysis using the central composite design (CCD). The effects of operational parameters such as laser power, scan speed, pulse repetition rate and hatch distance on the average depth of removal and the surface roughness (Sa) were investigated. The data-driven models are compared with experiments, and R-sq values for surface roughness and depth of removal are obtained as 78.15% and 80.47%, respectively. Proper cleaning was observed to occur only at certain values of laser parameters. The depth of removal is observed to first increase and then decrease with all parameters whereas, the surface roughness showed a monotonous trend with the parameters. This work demonstrates that laser cleaning of rust to obtain a good surface finish with shiny surface can be achieved through an appropriate selection of the process parameters.
Keywords: Laser Cleaning, Rust Removal, Nanosecond Laser, Response Surface Methodology, and Central Composite Design.
