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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/35243

Title: Towards an automated masking process – a model-based approach
Authors: Elgeneidy, Khaled
Al-Yacoub, Ali
Usman, Zahid
Lohse, Niels
Jackson, Michael R.
Wright, Iain
Keywords: Masking
Control
Modelling
Automation
Time-pressure dispensing
Manufacturing
Issue Date: 2018
Publisher: SAGE Publications © IMechE
Citation: ELGENEIDY, K. ... et al, 2018. Towards an automated masking process – a model-based approach. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, doi:10.1177/0954405418810058.
Abstract: The masking of aircraft engine parts, such as turbine blades, is a major bottleneck for the aerospace industry. The process is often carried out manually in multiple stages of coating and curing, which requires extensive time and introduces variations in the masking quality. This paper investigates the automation of the masking process utilising the wellestablished time-pressure (T/P) dispensing process for controlled maskant dispensing, and a robotic manipulator for accurate part handling. A mathematical model for the T/P dispensing process was derived, extending previous models from the literature by incorporating the robot velocity for controlled masking line width. An experiment was designed, based on the theoretical analysis of the dispensing process, to derive an empirical model from the generated data that incorporates the losses that are otherwise difficult to model mathematically. The model was validated under new input conditions to demonstrate the feasibility of the proposed approach and the masking accuracy using the derived model.
Description: This paper was published in the journal Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture and the definitive published version is available at https://doi.org/10.1177/0954405418810058.
Sponsor: The reported work has been partially funded by the EPSRC Centre for Innovated Manufacturing in Intelligent Automation (EP/IO33467/1).
Version: Accepted for publication
DOI: 10.1177/0954405418810058
URI: https://dspace.lboro.ac.uk/2134/35243
Publisher Link: https://doi.org/10.1177/0954405418810058
ISSN: 0954-4054
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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