Thesis-2004-Ayub.pdf (8.08 MB)
Automated two-dimensional patterned shape cutting of elastic web materials
thesisposted on 2018-10-09, 10:06 authored by Muhammad A. Ayub
The objective of this thesis is to automate the manual 2D-patterned cutting of lace with high a accuracy and quality of the cutting edges. Four main problems for automating the cutting method were addressed; feature recognition technique for cutting path extraction, material handling system, laser beam manipulation and trajectory planning generation. An integrated mechatronic approach for designing the automated laser cutting system was outlined. The features of the 2D-patterned lace fabrics are not exactly identical and easily distorted nonlinearly due to handling operations. An active template matching technique was developed and implemented to recognise the distorted features of the 2D-patterned shape cuttings. To accommodate the geometrical pattern variations, the cutting paths of the 2D-patterned shapes were extracted using either the chain-coding technique or the binary morphological techniques. [Continues.]
MARA University of Technology (Shah Alam, Malaysia).
- Mechanical, Electrical and Manufacturing Engineering
Publisher© Muhammad Azmi Ayub
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
NotesA Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.