The industrial production of garments and similar textile end
products is an activity with roots back to the 19th century that
has profited immensely from continuous technological developments
since its first emergence. However, several characteristics of the
materials that are processed give rise to technical issues that are
difficult to objectively manage and control. The machines, although
often equipped with complex devices to aid in material handling,
are blind regarding the process itself; they run with an initial
set-up and are neither capable of adapting to varying sewing
conditions nor can they detect anomalous operation. This work
intends to measure and analyse several sewing variables in-process,
in order to develop objective tools to plan, monitor and control
the process. Several variables related to stitch formation,
material feeding and needle penetration, were measured dynamically
in an extensive experiment. The results found point to the
possibility of designing monitoring and control algorithms for
several sewing parameters, concurrently with process planning and
material testing tools.
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