Use this URL to cite or link to this record in EThOS: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488368 |
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Title: | Real-time data monitoring on circular knitting to improve process efficiency and fabric quality. | ||||
Author: | Lek-Uthai, J. |
ISNI:
0000 0001 3607 9978
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Awarding Body: | University of Manchester : UMIST | ||||
Current Institution: | University of Manchester | ||||
Date of Award: | 1998 | ||||
Availability of Full Text: |
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Abstract: | |||||
The quality of the knitted fabric is an important factor in the knitwear industry. On
circular knitting machines the fabric quality is improved by using the positive storage
feeding device which delivers the length of the yam to the needles in order to form
stitches at a constant rate. Yam tension, yam properties and elongation of the yam are
important parameters influencing course length in the knitted fabric. However, course
length is the most important parameter that determines the dimensions of the knitted
fabrics. Therefore, a mathematical analysis was carried out to study the feasibility of
using yarn length measurement in order to improve the fabric quality and the process
efficiency.
A PC based system was created to monitor important information such as yam run-in
length, running machine condition, yam breakage, needle breakage, machine and time
performance during the normal operation. An addition sensor was installed in order to
determine the above parameters. Special hardware and software were developed for
monitoring and analysing the knitting process parameters in real-time.
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Supervisor: | Not available | Sponsor: | Not available | ||
Qualification Name: | Thesis (Ph.D.) | Qualification Level: | Doctoral | ||
EThOS ID: | uk.bl.ethos.488368 | DOI: | Not available | ||
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