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Lookup NU author(s): Dr Zhongxu Hu,
Dr Bob Bicker,
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In this work, leather material is for the first time prepared by grit blasting process in order to improve peel strength when bonding. Peel tests show that it is the surface depth of removal rather than surface roughness that dominates the bonding performance. Therefore, measurement of surface removal is critical for surface preparation of using a grit blasting process. Indirect measurement of preparation performance is essential due to the hazardous conditions for conventional sensing equipment in the blasting chamber. A neural network modelling approach is proposed for the prediction of surface removal of leather materials, and the neural network model also characterizes the process, which is very useful for machine design and optimum control. The data used for the training of the artificial neural network is collected through screening experiments, which was efficiently planned using the Box-Behnken design method. © Springer-Verlag London Limited 2007.
Author(s): Hu Z, Bicker R, Marshall C
Publication type: Article
Publication status: Published
Journal: International Journal of Advanced Manufacturing Technology
ISSN (print): 0268-3768
ISSN (electronic): 1433-3015
Publisher: Springer UK
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