ENBIS-17 in Naples

9 – 14 September 2017; Naples (Italy) Abstract submission: 21 November 2016 – 10 May 2017

Prediction of Coating Properties with Generalized Linear Models in an HVOF Spraying Process

11 September 2017, 16:00 – 16:20

Abstract

Submitted by
Eva-Christina Becker-Emden
Authors
Eva-Christina Becker-Emden (FH Dortmund), Sonja Kuhnt (FH Dortmund)
Abstract
High velocity oxygen fuel (HVOF) spraying is a method to apply protective coatings on surfaces. Obtaining properties of such coatings is expensive and time consuming, hence it is desirable to derive predictions based on parameters or particle properties that are easier to measure. It is also of interest to investigate different powders used in the industry.

We use generalized linear models with different link functions and gamma distributed responses to describe the coating properties in dependence of particle properties, like particle temperature or velocity, and process parameters, like the feeder disc velocity. Previously only a WC-12Co powder of type WOKA 3102 from Sulzer Metco was analysed. In this contribution, we run experiments on two further powders, namely WC-FeCrAl and WC-Co-100nm. We analyse to which extend the models for WC-12Co are transferable to other powders. Additionally, individual model selection for the new powders is conducted and results are compared. We base our model building on an all-subset selection with the BIC as selection criterion, and a maximal model containing main, two-way interaction and quadratic effects.

We find that the class of generalized linear models provides adequate prediction models for the individual coating properties. Possible extensions of the individual generalized linear models to a multivariate model are discussed.

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