October 1, 2009 - MKS announces SenseLink QM version 2.2 improved data acquisition system, featuring multivariate analysis (MVA) with partial least squares (PLS) modeling for improved real-time quality monitoring and fault detection in injection molding. The multivariate statistical analysis provides improvements in process monitoring and parts quality predictions that are not attainable through traditional SCADA and SPC approaches.A compact, easy to mount unit, the SenseLink QM 2.2 system enables users to track multiple critical quality parameters in real time, to identify product variability and defects, and quickly determine root causes, improving part quality and machine productivity.
It features multivariate libraries and automated modeling functions from Umetrics, a subsidiary of MKS and the market leader in MVA software. The SenseLink system incorporates the entire analytical process, including data collection, modeling and run-time control, in a single platform.A web browser user interface allows easy configuration and data analysis. Setup does not require MVA training, and models can adapt to acceptable process changes due to time, shift change and material variability. Results can be automatically archived on local network storage servers for data retention.
The SenseLink QM 2.2 system easily identifies process variables contributing to poor quality, allowing for corrective action to optimize production and eliminate downstream costs. Typical savings in inspection costs of 30% have been reported by injection molding companies using SenseLink QM 2.2.
