Grey modeling for thermal spray processing parameter analysis
Grey Systems: Theory and Application
ISSN: 2043-9377
Article publication date: 16 March 2020
Issue publication date: 18 June 2020
Abstract
Purpose
This paper presents the application of grey modeling for thermal spray processing parameter analysis in less data environment.
Design/methodology/approach
Based on processing knowledge, key processing parameters of thermal spray process are analyzed and preselected. Then, linear and non-linear grey modeling models are integrated to mine the relationships between different processing parameters.
Findings
Model A reveals the linear correlation between the HVOF process parameters and the characterization of particle in-flight with average relative errors of 9.230 percent and 5.483 percent for velocity and temperature.
Research limitations/implications
The prediction accuracies of coatings properties vary, which means that there exists more complex non-linear relationship between the identified input parameters and coating results, or more unexpected factors (e.g. factors from material side) should be further investigated.
Practical implications
According to the modeling case in this paper, method has potential to deal with other diverse modeling problems in different industrial applications where challenge to collecting large quantity of data sets exists.
Originality/value
It is the first time to apply grey modeling for thermal spray processing where complicated relationships among processing parameters exist. The modeling results show reasonable results to experiment and existing processing knowledge.
Keywords
Citation
Liu, M., Zhang, Y., Dong, W., Yu, Z., Liu, S., Gomes, S., Liao, H. and Deng, S. (2020), "Grey modeling for thermal spray processing parameter analysis", Grey Systems: Theory and Application, Vol. 10 No. 3, pp. 265-279. https://doi.org/10.1108/GS-12-2019-0063
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited