04.05.18
Although automation technology is developing rapidly, setup and control of nonwoven cards is still done manually and based on experience of the machine user. When the surrounding conditions change, process errors occur or the product is changed, the machine user changes the production parameters based on his experience. If process errors or changed conditions are not recognized fast enough, scrap is produced or the machine is stopped. In Germany, scrap production from the nonwovens industry in the value of €50 million is recycled every year.
Optical inspection systems for the detection of product errors like holes, stains and fiber lumps are available, but are only used rarely, as the use as a pure surveillance system is not economic. Most relevant use is the documentation of product errors for quality sensible nonwovens to prepare the following confection [DrS16]. An automated feedback of the measurement into the process is currently not available. Furthermore, it is not possible to measure the subjective quality like the machine user who is experiencing it. An approach using fuzzy logic was introduced [Tie11], but has never been realized in praxis.
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Optical inspection systems for the detection of product errors like holes, stains and fiber lumps are available, but are only used rarely, as the use as a pure surveillance system is not economic. Most relevant use is the documentation of product errors for quality sensible nonwovens to prepare the following confection [DrS16]. An automated feedback of the measurement into the process is currently not available. Furthermore, it is not possible to measure the subjective quality like the machine user who is experiencing it. An approach using fuzzy logic was introduced [Tie11], but has never been realized in praxis.
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