Towards an automated masking process: A model-based approach

Khaled Elgeneidy*, Ali Al-Yacoub, Zahid Usman, Niels Lohse, Michael Jackson, Iain Wright

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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 article investigates the automation of the masking process utilising the well-established time–pressure dispensing process for controlled maskant dispensing and a robotic manipulator for accurate part handling. A mathematical model for the time–pressure 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 incorporate 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.

Original languageEnglish
Pages (from-to)1923-1933
Number of pages11
JournalProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Volume233
Issue number9
DOIs
Publication statusPublished - 1 Jul 2019

Bibliographical note

Publisher Copyright:
© IMechE 2018.

Keywords

  • automation
  • control
  • manufacturing
  • Masking
  • modelling
  • time–pressure dispensing

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Fingerprint

Dive into the research topics of 'Towards an automated masking process: A model-based approach'. Together they form a unique fingerprint.

Cite this