Swiss electronics specialist Kistler is set to preview the ComoNeoPREDICT sensor range at the upcoming K 2019 trade fair, which will be held 16-23 October at Messe Dusseldorf in Germany.
The new sensors support model-based prediction of the desired part quality, based on cavity pressure and temperature profiles.
The units add what is described as ‘artificial intelligence’ to the injection moulding process, based on the idea that the intelligent software supporting the units uses designs based on neural networks.
Intended for use in processes demanding very high product standards, such as medical and automotive, quality is delivered through the ability to calculate process properties in advance of manufacturing.
The sensors slot into an end-to-end systems networking package, including quality-related process data delivered via OPC UA. Long-duration analyses can be carried out to identify fault issues.
ComoNeoPREDICT is part of a series of system-monitoring ComoNeo products. At the process level, ComoNeo tracks cavity pressure for conventional and multi-component injection moulding (ComoNeoMERGE). Switching based on cavity pressure is managed by ComoNeoSWITCH, while hot- and cold-runner function is set by ComoNeoMULTIFLOW.
The Kistler stand at K 2019 will feature an ‘Innovation Walk’ which will allow visitors to experience how cavity pressure measurement is helping injection moulders.
Visit Kistler at K 2019 in Hall 10, stand G81.