Innovative self-learning disturbance compensation for straightening processes

نویسندگان

چکیده

Abstract. To increase the sustainability of forming processes such as punch bending, homogenization processed semi-finished product is an essential step in manufacturing process. High-strength wire materials are usually available strip material before being further a For storage and transport, coiled onto coils transported to customer. During coiling process, residual stresses plastic deformation introduced into wire. Thus, final quality also influenced by geometry coil. Straightening machines used production lines compensate for these. Once straightening machine has been set up, settings roll positions not changed. As result, there no reaction fluctuations, which means that components be produced do meet dimensional accuracy requirements. This leads rejection rate processes. reduce rate, it necessary enable dynamic flexible infeed rollers. In this context, innovative control concept with disturbance compensation was developed The uses model predicts change bending curvature over coil radius. With prediction, can adjusted specifically. roller subordinate position control. additional feedback from measured geometric properties following punching-bending process enables even case unforeseen fluctuations properties. way, possible react any required. novel, demand-oriented adjustment expected result high efficiency reduction rate.

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ژورنال

عنوان ژورنال: Materials research proceedings

سال: 2023

ISSN: ['2474-3941', '2474-395X']

DOI: https://doi.org/10.21741/9781644902479-216