A model for the dehydration of waterborne basecoat

被引:0
|
作者
Paul Henshaw
Lindita Prendi
Tony Mancina
机构
[1] Daimler Chrysler Canada,DCC/UofW, Automotive Research and Development Centre
[2] University of Windsor,Dept. Civil & Environmental Engineering
关键词
Drying; waterborne; defects; automotive-OEM; process modeling; simulation;
D O I
暂无
中图分类号
学科分类号
摘要
In vehicle manufacturing, a common topcoat process sequence is the application of a waterborne basecoat, partial dehydration, application of a solventborne clearcoat, then curing at approximately 150°C. Anecdotal evidence suggests that under “harsh” (high temperature and velocity) dehydration conditions, a skin can be formed, which can trap excess water in the basecoat. Upon curing, the excess water forms vapor that can burst through the topcoat, leading to surface imperfections, termed pinholes or pops.
引用
收藏
页码:285 / 294
页数:9
相关论文
共 50 条
  • [31] Model for disease dynamics of a waterborne pathogen on a random network
    Meili Li
    Junling Ma
    P. van den Driessche
    Journal of Mathematical Biology, 2015, 71 : 961 - 977
  • [32] Analysis of a model for waterborne diseases with Allee effect on bacteria
    Capone, Florinda
    Carfora, Maria Francesca
    De Luca, Roberta
    Torcicollo, Isabella
    NONLINEAR ANALYSIS-MODELLING AND CONTROL, 2020, 25 (06): : 1035 - 1058
  • [33] Impact of environmental noises on the stability of a waterborne pathogen model
    Xinhong Zhang
    Daqing Jiang
    Journal of Applied Mathematics and Computing, 2022, 68 : 2039 - 2063
  • [34] Incorporating heterogeneity into the transmission dynamics of a waterborne disease model
    Collins, O. C.
    Govinder, K. S.
    JOURNAL OF THEORETICAL BIOLOGY, 2014, 356 : 133 - 143
  • [35] Impact of environmental noises on the stability of a waterborne pathogen model
    Zhang, Xinhong
    Jiang, Daqing
    JOURNAL OF APPLIED MATHEMATICS AND COMPUTING, 2022, 68 (03) : 2039 - 2063
  • [36] Model for disease dynamics of a waterborne pathogen on a random network
    Li, Meili
    Ma, Junling
    van den Driessche, P.
    JOURNAL OF MATHEMATICAL BIOLOGY, 2015, 71 (04) : 961 - 977
  • [37] A Networked SIS Disease Dynamics Model with a Waterborne Pathogen
    Liu, Ji
    Pare, Philip E.
    Du, Erhu
    Sun, Zhiyong
    2019 AMERICAN CONTROL CONFERENCE (ACC), 2019, : 2735 - 2740
  • [38] Ensemble Machine Learning Model to Predict the Waterborne Syndrome
    Gollapalli, Mohammed
    ALGORITHMS, 2022, 15 (03)
  • [39] Model Predictive Control of a waterborne AGV at the operational level
    Zheng, H.
    Negenborn, R. R.
    Lodewijks, G.
    MARITIME-PORT TECHNOLOGY AND DEVELOPMENT, 2015, : 99 - 108
  • [40] A Smectite Dehydration Model in a Shallow Sedimentary Basin: Model Development
    Chen-Wuing Liu
    Wen-Sheng Lin
    Clays and Clay Minerals, 2005, 53 : 55 - 70