Open Access

ARTICLE

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

by Ting Jiang^1,3, Chunmei Yang^1,2,*, Yueqiang Yu³, Bakary S. Doumbia^1,2, Jiuqing Liu^1,*, Yan Ma^1,2

1 College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, 150040, China
2 Forestry and Woodworking Machinery Engineering Technology Center, Northeast Forestry University, Harbin, 150040, China
3 College of Mechanical Science and Engineering, Northeast Petroleum University, Daqing, 163318, China

* Corresponding Authors: Chunmei Yang. Email: ; Jiuqing Liu. Email:

(This article belongs to the Special Issue: Renewable materials for sustainable development)

Journal of Renewable Materials 2021, 9(1), 119-128. https://doi.org/10.32604/jrm.2021.011490

Received 12 May 2020; Accepted 13 August 2020; Issue published 30 November 2020

Abstract

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.

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