amsight Showcases Data-Driven Quality Management for Metal AM

amsight, a company focused on additive manufacturing solutions, is drawing attention to the critical role of data-driven quality management within the metal additive manufacturing sector. Their approach centers on leveraging comprehensive data collection and analysis throughout the entire production lifecycle. This includes monitoring key process parameters during the build, such as laser power, scan speed, and powder bed characteristics.

By collecting this granular data, amsight aims to provide manufacturers with a deeper understanding of their processes. This allows for the identification of potential deviations or anomalies in real-time, enabling prompt corrective actions. The goal is to move beyond reactive quality control to a more proactive and predictive model.

Furthermore, amsight's strategy involves integrating data from post-processing steps and material characterization. This holistic data view is intended to build a robust digital thread, connecting design intent to the final manufactured part. Such comprehensive data management is seen as essential for achieving consistent part quality and ensuring traceability, which are paramount for critical applications.

The company believes that a data-centric approach is fundamental to scaling metal additive manufacturing for serial production. By demonstrating process repeatability and reliability through data, manufacturers can gain the confidence needed to adopt AM for more demanding industrial uses.