AccurasprayHub: Leveraging AI and Machine Learning to Define and Optimize Process Windows in Thermal Spray Operations

Abstract This paper presents the AccurasprayHub, a centralized data platform designed to harmonize booth parameters, in-situ plume measurements, maintenance schedules, and coating quality evaluations. By combining domain expertise with advanced analytics, including initial steps toward machine learning, the AccurasprayHub establishes robust datasets, identifies stable process windows, and provides proactive insights for process improvements.