Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-4965
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Procedure for experimental data assessment for numerical solver validation in the context of model based prediction of powder coating patterns
Authors : Siyahhan, Bercan
Boldrini, Marlon
Hauri, Samuel
Reinke, Nils
Boiger, Gernot Kurt
DOI : 10.21256/zhaw-4965
10.21152/1750-9548.12.4.373
Published in : The International Journal of Multiphysics
Volume(Issue) : 12
Issue : 4
Pages : 373
Pages to: 392
Issue Date: Dec-2018
Publisher / Ed. Institution : Multi-Science Publishing
ISSN: 1750-9548
2048-3961
Language : English
Subjects : Model based prediction; Data assessment; Powder coating; Simulation; Experiments; Optical measurement; Numerical solver; Validation
Subject (DDC) : 530: Physics
Abstract: In the scope of this study an experimental powder coating setup is designed and the method to extract statistically significant trends from the data generated is developed. The ultimate goals are to i) validate a previously developed 3D Euler-LaGrangian numerical solver and to ii) characterize the essential parameters for industrial powder coating processes in subsequent phases. The experiments involved coating a flat plate substrate with a corona spraying pistol. The resulting coating thickness has been quantified through the state of the art Coatmaster technology. The raw data generated from the Coatmaster has been filtered and rigorously analyzed to identify statistically significant trends. Furthermore, characteristic variables have been constructed for subsequent comparison to the numerical solver. This study reveals the challenges involved in assessing experimental data to extract meaningful comparisons for numerical solver validation.
URI: https://digitalcollection.zhaw.ch/handle/11475/14287
Fulltext version : Published version
License (according to publishing contract) : CC BY 4.0: Attribution 4.0 International
Departement: School of Engineering
Organisational Unit: Institute of Computational Physics (ICP)
Appears in Collections:Publikationen School of Engineering

Files in This Item:
File Description SizeFormat 
2018_Siyahhan_Procedure_for_experimental_data_assessment_for_numerical.pdf2.8 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.