Prediction and Analysis of Surface Quality of Northeast China Ash Wood during Water-Jet Assisted CO2 Laser Cutting

• Published in: Journal of renewable materials 2021-01, Vol.9 (1), p.119-128
• Main Authors: Jiang, Ting, Yang, Chunmei, Yu, Yueqiang, Doumbia, Liu, Jiuqing, Ma, Yan
• Format: Article
• Language: English
• Subjects: Ash Wood; Green Machining; Northeast China; Response Surface Methodology; Surface Quality; Water-Jet Assisted Co2 Laser Cutting
• ISSN: 2164-6325; 2164-6341
• DOI: 10.32604/jrm.2021.011490

As a natural and environmentally friendly renewable material, Northeast China ash wood (NCAW) (Fraxinus mandshurica Rupr.) was cut by water-jet assisted CO2 laser (WACL), the surface quality was evaluated by surface roughness of cut section. The surface roughness was measured by three-dimensional (3D) profilometry. Furthermore, the micromorphology of machined surface was observed by scanning electronic microscopy (SEM). Carbon content changes of machined surface were measured by energy dispersive spectrometer (EDS). A relationship between surface roughness and cutting parameters was established using response surface methodology (RSM). It is concluded that the cutting speed, laser power and water pressure played an important role in surface roughness of cut section. The surface roughness increased as an increase in laser power. It decreased caused by increasing of cutting speed and water pressure. Measurements revealed that the surface quality of NCAW part was improved using the optimized combination of cutting parameters. The established quadratic mathematical model of a good prediction is helpful for matching suitable cutting parameters to obtain expected surface quality.