Six Sigma And IIoT Integration For Qualifying CuZn30 In Cold Gas Spraying: Advancing Quality Control And Data Acquisition

This paper expounds upon the implementation of Six Sigma methodology in conjunction with Industrial Internet of Things integration for the qualification of the copper alloy CuZn30 in Cold Gas Spraying additive manufacturing.The utilisation of Six Sigma's structured approach facilitates the optimisation of process parameters, the reduction of defects, and the assurance of consistent quality in the production of CuZn30 components.The development of an advanced IIoT infrastructure enables real-time in-situ data acquisition, integrating sensors and monitoring systems to capture critical quality metrics. The study demonstrates how in-situ process data from the IIoT Infrastructure enhances statistical process control and enables data-driven decision-making during production.Through a combination of rigorous quality control and digital infrastructure, this work improves the repeatability, reliability, and overall efficiency of the CGS process for non-ferrous materials like CuZn30.