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346e7c250ea1e999b0ae8be85c1ce8c6 |
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Date |
1997 |
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repository |
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abstract |
Communication between different members of a design team often poses difficulties.
The knitwear design process is shared by the designers, who plan the visual and tactile
appearance of the garments, and the technicians, who have to realise the garment on
a knitting machine and assemble it. This thesis reports a detailed empirical study
of over' twenty companies in Britain and Germany, which shows that the communication
problem constitutes a major bottleneck. Designers specify their designs inaccurately,
incompletely and inconsistently; the technicians interpret these specifications according
to their previous experience of similar designs, and produce garments very different
from the designers' original intention. Knitwear is inherently difficult to describe,
as no simple and complete notation exists for knitted structures; and the relationship
between visual appearance and structure and technical properties of knitted fabric
is subtle and complex. At the same time the interaction between designers and technicians
is badly managed in many companies. This thesis argues that this communication bottleneck
can be overcome by enabling designers to produce accurate specifications of technically
correct designs, through the help. of an intelligent computer support system that
corrects inconsistent input and proposes design suggestions that the user can edit.
In this thesis this proposal is elaborated for one aspect of knitwear design: garment
shape construction. Garment shapes are modelled using Bezier curves generated using
design heuristics drawn from industrial practice, to create curves that look right
to a designer and can be easily edited. The development of the garment shape models
presented in this thesis involved the solution of unusual problems in numerical analysis.
The thesis shows how the mathematical models can be integrated into an intelligent
CAD system, and discusses die benefits of such a system could have for the design
process. |
| 54436 |
abstract |
Communication between different members of a design team often poses difficulties.
The knitwear design process is shared by the designers, who plan the visual and tactile
appearance of the garments, and the technicians, who have to realise the garment on
a knitting machine and assemble it. This thesis reports a detailed empirical study
of over' twenty companies in Britain and Germany, which shows that the communication
problem constitutes a major bottleneck. Designers specify their designs inaccurately,
incompletely and inconsistently; the technicians interpret these specifications according
to their previous experience of similar designs, and produce garments very different
from the designers' original intention. Knitwear is inherently difficult to describe,
as no simple and complete notation exists for knitted structures; and the relationship
between visual appearance and structure and technical properties of knitted fabric
is subtle and complex. At the same time the interaction between designers and technicians
is badly managed in many companies.
This thesis argues that this communication bottleneck can be overcome by enabling
designers to produce accurate specifications of technically correct designs, through
the help. of an intelligent computer support system that corrects inconsistent input
and proposes design suggestions that the user can edit. In this thesis this proposal
is elaborated for one aspect of knitwear design: garment shape construction. Garment
shapes are modelled using Bezier curves generated using design heuristics drawn from
industrial practice, to create curves that look right to a designer and can be easily
edited. The development of the garment shape models presented in this thesis involved
the solution of unusual problems in numerical analysis. The thesis shows how the mathematical
models can be integrated into an intelligent CAD system, and discusses die benefits
of such a system could have for the design process. |
| 54436 |
authorList |
authors |
| 54436 |
degree |
phd |
| 54436 |
status |
unpublished |
| 54436 |
status |
peerReviewed |
| 54436 |
uri |
http://data.open.ac.uk/oro/document/646627 |
| 54436 |
uri |
http://data.open.ac.uk/oro/document/646634 |
| 54436 |
uri |
http://data.open.ac.uk/oro/document/646644 |
| 54436 |
uri |
http://data.open.ac.uk/oro/document/646645 |
| 54436 |
uri |
http://data.open.ac.uk/oro/document/646646 |
| 54436 |
uri |
http://data.open.ac.uk/oro/document/646647 |
| 54436 |
uri |
http://data.open.ac.uk/oro/document/662039 |
| 54436 |
type |
Article |
| 54436 |
type |
Thesis |
| 54436 |
label |
Eckert, Claudia (1997). Intelligent support for knitwear design. PhD thesis
The Open University. |
| 54436 |
label |
Eckert, Claudia (1997). Intelligent support for knitwear design. PhD thesis The
Open University. |
| 54436 |
Title |
Intelligent support for knitwear design |
| 54436 |
in dataset |
oro |