Technical Paper Archive

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Using AI for Dynamic Reduction of Rheological Measurement Frequency

D24 backenstos

Event: 200th Technical Meeting - Fall 2021
Location: Pittsburgh, PA
Date: October 05, 2021
Author: Maximilian Backenstos
Paper Number: D24

Price: $20.00

  • Variations in input raw materials or deviations in the mixing processes can strongly influence the quality of a rubber compound. Today, this can only be determined after it has passed through the production cycle for example by means of a rheometer test. Together with HEXPOL Compounding, the artificial intelligence (AI) provider DatenBerg has developed an algorithm that can be used to predict the quality of the compound based on process parameters. As a recommendation for action, an information about wether to measure the batch or nor is derived. This reduces the in-line measurement efforts in average by 70% while maintaining a probability of failure detection of over 99.5%. The result of this work supports employees on the shopfloor in controlling the process and avoiding scraps. The solution implemented at HEXPOL's mixing plant is used as an example to explain the function and results.

    Papers from 200th Technical Meeting - Fall 2021

    Items from 200th Technical Meeting - Fall 2021