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Datenbasiertes Qualitätsmanagement für die Additive Serienfertigung: Herausforderungen und Best Practices
places available
Free event
News from the AM scene with Tim Wischeropp from Amisght on "Data-based quality management for additive series production: Challenges and Best Practices".
places available
Free event
Event language
- German
News from the AM scene with Tim Wischeropp from Amisght on "Data-based quality management for additive series production: Challenges and Best Practices".
With the increasing use of additive manufacturing in regulated industries such as aerospace, medical technology, and energy, data-based quality assurance is becoming increasingly important. At the same time, complex processes, large amounts of data, and strict documentation requirements are presenting companies with new challenges. The presentation will show how data-driven methods create transparency, increase process stability, and support the development of reproducible series production. Selected best practices will be used to present the key potential and tried-and-tested approaches for efficient, digitally integrated quality management.
About the speaker:
Tim began his professional career in additive manufacturing in 2012 and has held various positions in applied research. From 2018 to 2023, he headed the Design and Quality Assurance department at Fraunhofer IAPT before co-founding amsight GmbH. amsight offers software for data-based quality management for additive manufacturing. The software can be used to ensure component quality and improve processes using statistical process control.
About the speaker:
Tim began his professional career in additive manufacturing in 2012 and has held various positions in applied research. From 2018 to 2023, he headed the Design and Quality Assurance department at Fraunhofer IAPT before co-founding amsight GmbH. amsight offers software for data-based quality management for additive manufacturing. The software can be used to ensure component quality and improve processes using statistical process control.
