End-of-line Testing

A customer faced challenges in achieving consistent granular specifications during 18-hour milling cycles, resulting in quality issues and wastage. The NSW AI and Machine Learning solution was implemented to monitor the milling process, optimizing particle size and reducing production time by 2 hours per batch. This led to an 11% efficiency boost, reduced wastage, and enhanced supplier credibility.

A collaboration with NeuronSW involves utilizing IoT for tracking acoustic emissions from bearings, mechanical seals, and reactor shells. NeuronSW manages hardware installation, data acquisition, ML algorithm training, and service deployment. The project aims to enhance reactor agitator monitoring, benefiting from NeuronSW’s expertise in acoustics, software, and hardware development.

Addressing additive manufacturing challenges, the NSW solution offers real-time monitoring of 3D printers using acoustic signatures, images, and physical data. This innovation detects material faults during printing, curbing wastage, enhancing quality, and boosting efficiency. Benefits include material savings, reduced post-production testing, heightened productivity, profitability, and supplier reputation.