Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488170
Title: Digital image processing techniques for the investigation of nonwoven structures
Author: Gong, Rong Hua
ISNI:       0000 0001 2419 7344
Awarding Body: University of Manchester
Current Institution: University of Manchester
Date of Award: 1989
Availability of Full Text:
Access through EThOS:
Abstract:
Digital image processing techniques have been used to analyse structural and geometrical properties of nonwoven fabrics. The development of automatic measurement methods for pore size and fibre orientation distribution has been the main focus. The measurement algorithms, together with some preliminary testing results, are discussed in this thesis. Pore size distribution is a crucial design criterion in many industrial, particularly geotechnical applications of textiles and an important product specification parameter. The orientation of fibres in nonwoven fabrics is one of the determinant factors of the physical behaviour of the fabrics. Reviews of literature have indicated that the existing methods of determination of these two properties are laborious, time consuming and, in some cases, controversial. The automatic methods described herein enable accurate evaluation of pore sizes and fibre orientation to be achieved far more quickly and economically. The system has the advantage of being fully programmable, thus will be available for other work. A review of the work was presented to the UMIST Nonwoven Conference, June 1988.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.488170  DOI: Not available
Share: